Fulltime Data Engineers openings in Chicago, United States on September 12, 2022

Sr. Data Engineer/Developer- Remote at RemoteWorker US

Location: Chicago

TITLE: Sr. Data Engineer/Developer- Remote

Location: Remote

Position Description/Overview:

We are looking for a Senior Data Engineer (Remote). This role will do backend enablement on multiple Azure data marts and On Premises SQL Server data mart for application facing solutions for their clients.

Duties & Responsibilities:
• Multiple Azure SQL Database Data Mart development and support
• Data Load design and implementation from On Premises and Azure data sources into Azure SQL Databases or On Premises data mart.
• Design, development, and implementation of data marts and related applications
• Solution, Develop, maintain, and execute extraction, transformation and load (ETL) routines for importing data from heterogeneous data sources into the data marts using MS SQL Server Integration Services (SSIS) and ADF
• Work with business SME’s and data architects to implement dimensional data models
• Help to define and follow development standards and practices for backend data enablement initiatives throughout the company
• Acts as a subject matter expert for the Information Management team when interacting with internal business partners
• Develop and execute release deployment plans
• Troubleshoot production dataflow and code; support existing processes to meet SLA
• Provide optimization suggestions for source queries or queries running on Azure data marts
• Mentor and coach developers

Qualifications:
• Expert in writing, tuning, and troubleshooting complex SQL scripts
• Expert in developing complex ETL processes (SSIS)
• Expert in designing and implementing database schemas using Kimball/Inmon methodologies
• Strong documentation experience and verbal communication skills for collaboration with business stakeholders and technical peers
• Able to contribute on an individual basis and as part of a team
• Strong understanding of data normalization rules, denormalization and other techniques to support reporting and analytics
• 6-8+ years of progressive responsibilities within IT functions, with a strong track record of work delivery and organizational leadership. Previous healthcare industry experience would be a major advantage.
• 6-8+ years hands-on experience in data warehousing development and design
• 6-8+ years of ETL process design experience, preferably with MS SQL Server Integration Services (SSIS)
• 1+ years leading a development team is a plus
• Experience in Azure SQL Database development, changes, maintenance, and support is a plus

About Infinity Consulting Solutions

At Infinity Consulting Solutions our mission is to cultivate successful long term relationships with candidates and clients matching the right candidate with the right client. We believe technology cannot replace the real personal relationships we cultivate. We reject the notion that technology alone is the answer to staffing which is why we our successful partnerships rely on collaboration NOT automation. ICS has been providing flexible staffing solutions for over 20 years in Information Technology, Compliance, Accounting / Finance and Corporate Support. Our staffing solutions include Contract, Temp to Perm and Permanent Placement.

ICS is an Equal Opportunity Employer.
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Optum Digital Software Engineer, Data – Telecommute at UnitedHealth Group

Location: Chicago

Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that’s improving the lives of millions. Here, innovation isn’t about another gadget, it’s about making health care data available wherever and whenever people need it, safely and reliably. There’s no room for error. Join us and start doing your life’s best work.(sm)

Join Optum Digital as a Software Engineer where you will own the core datasets for Optum s analytics that feeds to improve our product offering, help fulfill our contractual needs with client and partners, and fuel our personalization & recommendation engines’ data needs. Daily you collaborate with product managers, data lake consumers, and surrounding engineering teams & build a top-class experience. We use the latest set technology to process the high volume & complex data sets – Scala, Spark, Kafka, MongoDB, Postgres, Databricks, Airflow, Amazon S3, Jenkins, Docker, Kubernetes to name a few. As part of the larger Data Engineering team, you will report to an Engineering Manager.

You ll enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:
• Design, develop and productionize scalable and resilient data pipelines in a cloud-based data platform
• Design and build multi-tenant systems capable of loading and transforming large volumes of structured and semi-structured rapidly changing data
• Partner with Data Scientists and product team to drive agile delivery of both existing and new offerings
• Work with Product Managers to understand the features, impact assessment, design, develop, test, and deliver
• Help with team goals including the support of live 24/7 production systems

You ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:
• BS in Computer Science, Engineering or a related technical role or equivalent experience
• 2+ years of hands-on experience with Big Data pipelines with Spark in Scala, Python, or Java
• 2+ years of strong coding experience with Scala, Python or Java
• Exposure to data structures, algorithms, performance, and scalability
• Exposure to Airflow or other workflow orchestration framework
• Interest in learning Scala

Preferred Qualifications:
• 3+ years of hands-on experience with Big Data pipelines with Spark in Scala, Python, or Java
• 3+ years of strong coding experience with Scala, Python or Java
• 1+ years of experience with data structures, algorithms, performance, and scalability
• Knowledge of high-scale performance and optimization tools and techniques
• Exposure to data modeling methodologies
• Exposure to streaming & batch processing

To protect the health and safety of our workforce, patients and communities we serve, UnitedHealth Group and its affiliate companies require all employees to disclose COVID-19 vaccination status prior to beginning employment. In addition, some roles and locations require full COVID-19 vaccination, including boosters, as an essential job function. UnitedHealth Group adheres to all federal, state and local COVID-19 vaccination regulations as well as all client COVID-19 vaccination requirements and will obtain the necessary information from candidates prior to employment to ensure compliance. Candidates must be able to perform all essential job functions with or without reasonable accommodation. Failure to meet the vaccination requirement may result in rescission of an employment offer or termination of employment.

Technology Careers with Optum. Information and technology have amazing power to transform the health care industry and improve people’s lives. This is where it’s happening. This is where you’ll help solve the problems that have never been solved. We’re freeing information so it can be used safely and securely wherever it’s needed. We’re creating the very best ideas that can most easily be put into action to help our clients improve the quality of care and lower costs for millions. This is where the best and the brightest work together to make positive change a reality. This is the place to do your life’s best work.(sm)

Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado residents is $66,100 to $118,300. The salary range for Connecticut / Nevada residents is $72,800 to $129,900. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you ll find a far-reaching choice of benefits and incentives.

All Telecommuters will be required to adhere to UnitedHealth Group s Telecommuter Policy.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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Products & Solutions – Data Engineer at PwC

Location: Chicago

*Specialty/Competency:* Advisory – Other.Industry/Sector:* Not Applicable.Time Type:* Full time.

Travel Requirements:* Up to 20% A career in Products and Technology is an opportunity to bring PwC’s strategy to life by driving products and technology into everything we deliver. Our clients expect us to bring the right people and the right technology to solve their biggest problems; Products and Technology is here to help PwC meet that challenge and accelerate the growth of our business. We have skilled technologists, data scientists, product managers and business strategists who are using technology to accelerate change.

Our team establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. We develop the data sets and pipelines that will support analysis and model development including improving data quality, integration of disparate data sources, enhancement of data, transformation of data and development of performant infrastructure for access and reporting. As well, we design, build and oversee the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: + Use feedback and reflection to develop self awareness, personal strengths and address development areas. + Delegate to others to provide stretch opportunities and coach to help deliver results.

+ Develop new ideas and propose innovative solutions to problems. + Use a broad range of tools and techniques to extract insights from from current trends in business area. + Review your work and that of others for quality, accuracy and relevance.

+ Share relevant thought leadership. + Use straightforward communication, in a structured way, when influencing others. + Able to read situations and modify behavior to build quality, diverse relationships.

+ Uphold the firm’s code of ethics and business conduct Job Requirements and Preferences* :.Basic Qualifications* :.Minimum Degree Required* : Bachelor Degree.Additional Educational Requirements* : Bachelor’s degree or in lieu of a degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college Minimum Years of Experience* : 5 year(s).

Preferred Qualifications* :.Degree Preferred* : Master Degree.Preferred Fields of Study* : Business Analytics, Computer and Information Science, Mathematics, Statistics, Economics and Finance, Information Technology, Engineering, Data Processing/Analytics/Science.

Preferred Knowledge/Skills* : Demonstrates extensive abilities and/or a proven record of success within a professional services environment, in the following areas: + Designing and building data analytics solutions based on requirements and industry best practices; + Delivering robust, innovative and performant data integration, including batch processing and Real Time streaming scenarios; + Advising and developing data models, including data warehouse, analytical and semantic layers; + Designing and creating dashboards and reports to present information in a clear and efficient way through the right visualization format and structure; + Providing consulting to client facing and technical delivery teams; + Assisting the implementation and adoption of new data platforms and products from an initial design to proof-of-concept and production phases; + Performing tuning to enable solutions to run faster and to enhance user experience; + Working with our local and Global teams to align and integrate our data solutions with other initiatives; + Providing knowledge transfer to the team members and other groups; + Keeping the leadership and team aware of key issues, identify and resolve potential problems and conflicts; + Understanding of data models, data integration architectures and visualization tools; + Working experience with databases, and their modeling, querying and integration options, including relational (SQL), multi-dimensional (MDX) and tabular (DAX), Alteryx; + Exhibiting familiarity with analytics and big data related applications and cloud services, their roles, features, configuration and integration options; + Working experience with analytical and BI tools such as Power BI, Tableau; + Working experience with Python for data extraction and transformation; + Showcasing practical experience with data quality and lineage challenges and solutions; + Communicating in an organized and knowledgeable manner in written and verbal format with the ability to explain complex data solution design to non-data savvy leaders and teams; + Working with stakeholders including executive, product, data and design teams to assist with data-related technical issues and support their data infrastructure needs; + Exhibiting self-motivation with ability to work with minimal supervision, and to learn new technologies and processes; and + Possessing ability to cope with change and disruptions. At PwC, our work model includes three ways of working: virtual, in-person, and flex (a hybrid of in-person and virtual). Visit the following link to learn more: https://pwc.to/ways-we-work.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. For positions in Colorado, visit the following link for information related to Colorado’s Equal Pay for Equal Work Act: https://pwc.to/coloradoadvisoryseniorassociate. \.
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Senior Data Engineer- (Hybrid) at SonicJobs

Location: Chicago

Optum, the fastest growing part of UnitedHealth Group, is a leading information and technology-enabled health services business. Our teams are dedicated to modernizing the health care system and improving the lives of people and communities.

Serving virtually every dimension of the health system, we work with a diverse set of clients across 150 countries from those who diagnose and treat patients to those who pay for care, deliver health services, and those who supply the cures. Optum maintains operations across North America, South America, Europe, Asia Pacific and the Middle East. Our innovative partnerships provide technology and tools that enable unprecedented collaboration and efficiency. As a result, we can tap into valuable health care data to uncover insights and develop strategies for better care at lower costs.

Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin office and telecommuting from a home-based office in a hybrid work model.

Primary Responsibilities:
• Data profiling and mapping, in order to aid data migration projects
• Deep data analysis and research of healthcare data
• Quality Assurance, ensuring strict data quality
• Analysing current business practices, processes and procedures and identifying future business opportunities for leveraging data storage and retrieval system capabilities
• Design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data
• Aggregate & transform raw data coming from a variety of data sources to fulfil the functional & non-functional business needs
• Performance optimization, including automating processes, optimising data delivery & supporting architecture re-design to improve performance

Youll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:
• Strong proficiency in SQL and complex queries
• Proven hands-on experience with a large-scale data warehouse
• Deep experience in Data Analysis, including source data analysis, data profiling and mapping
• Building ETL data pipelines.

Preferred Qualifications:
• Experience with HEDIS
• Understanding of statistical methods
• Experience in consuming data from platforms such as Web APIs, Kafka, and CDC
• Experienced in consuming data from flat files from other Cloud environments

Careers with Optum.Here’s the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world’s large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to doyour life’s best work.SM

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

#ERP
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Data Engineer III (Hybrid Chicago or Phoenix) at SonicJobs

Location: Chicago

This is a hybrid position in Chicago, IL (preferred), or Phoenix, AZ with remote flexibility.

What Youll Do:

Writing code lots of it. We use Python, Java, Spark, and SQL. We welcome programmers of all backgrounds as long as you are keen to work with data and deliver good-quality code!

Foster and strengthen a deep understanding of vast data sources in the cloud and know precisely how, when, and which data to use to solve business problems.

Design, architect, implement and support critical streams and datasets that support our business, clients, and data scientists.

Design, implement and support critical streams and datasets that support our business, clients, and data scientists.

Be responsible for end-to-end data solution design and implementation, including data modeling, pipelining, transformation, and visualization. You will have an opportunity to work with innovative technologies.

Implementing product features, working with Product Owners, Data Operations teams, and other data engineers.

Implement best practices like infrastructure as code, automated testing, and code reviews, etc.

Who You Are:

We look for intelligent people with good general programming skills because we believe that outstanding developers can learn new technologies quickly

Bachelors/masters degree in computer science, mathematics, statistics, economics, or other quantitative fields

5+ years of experience as a Data Engineer or in a similar role.

Demonstrable Experience with any programming or scripting language (Python/Java/Scala/Ruby etc.)

Experience using big data technologies (Hadoop, Spark, Hive, Presto, etc.)

Experience using cloud technologies such as EMR, Lambda, EC2, and data pipelines.

Experience with Agile, DevOps, CICD frameworks in cloud-based environments.

Exposure to at least one dashboarding tool like Tableau, Power BI, Sisense, etc.

Experience with Snowflake Computing is a huge plus.
– provided by Dice
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Principle Software Engineer – Data Engineer – Remote at MetaBank

Location: Chicago

We are a hybrid, remote-office company dedicated to growing our talent anywhere!

At MetaBank, we take tremendous pride in our mission to create financial inclusion for all. We are a financial enablement company who works with innovators to increase financial availability, choice, and opportunity for all. We strive to remove barriers that traditional institutions put in the way of financial access, and promote economic mobility by providing responsible, secure, high quality financial products that contribute to the social benefit of communities at the core of the real economy.

We are a team of problem solvers and innovators who celebrate our differences and know that our unique perspectives make us stronger and well-positioned for success. We celebrate, and embrace, our team members through our.HUMBLE*HUNGRY*SMART approach, and we believe that we are strongest when we embrace the voices of our employees, customers, partners, and the communities we serve.

About the Role:

We are looking for a Principal Software Engineer to be part of our Enterprise Information Management team to drive and enable our data capabilities in the transformation of our company into a data-driven organization and help lay the foundations of a robust data program.

This role will own the technical leadership and be part of a Data Engineering team with responsibilities in defining, planning, delivering, and supporting the implementation of our modern data platforms to drive business value and growth. The Principal Software Engineer will be required to perform all Data Engineering development duties including design, development, testing, and documentation with a heavy emphasis on design and architectural decisions.

What You Will Do:
• Leads a Data Engineering team with responsibility for planning, prioritization, architectural & business alignment, quality, and value delivery
• Develops flexible, maintainable, and reusable Data Engineering solutions using standards, best practices, and frameworks with a focus on efficiency and innovation
• Solves complex development problems though good design and practical experience
• Continually looks at ways to improve existing systems, processes, and performance
• Leads and participates in planning and feature/user story analysis by providing feedback and demonstrating an understanding of business needs
• Solves business problems by implementing technical solutions based on solid design principles and best practices.
• Identifies and contributes to opportunities for departmental & team improvements
• Documents software, best practices, standards, and frameworks
• Mentors staff by assisting in providing technical advice, helping with issue resolution, and providing feedback
• Contributes as a subject matter expert in technical areas
• Keeps up to date with current and future changes in tools, technology, best practices, and industry standards through training and development opportunities
• Identifies and leads learning and training opportunities for other team members and staff
• Perform other duties as assigned

What You Will Need:
• Bachelor’s degree required
• 10+ years delivering scalable, secure, and highly available technical data solutions
• 5+ years of experience designing and building Data Engineering pipelines with Talend and utilizing strong SQL knowledge, experience with SQL Server, SSIS, and No-SQL DBs are nice-to-haves
• 3+ years of complex enterprise experience leading distributed Data Engineering teams
• 3+ years of experience in cloud data environments leveraging technologies such as Snowflake
• 3+ years of banking or financial services and products domain experience. We will consider experiences in similar or comparable domains as well
• Multiple successes driving Data Engineering in an agile environment (preferably with Kanban)
• Prior experience designing and/or optimizing processes to ensure operational excellence
• Experience with automated testing capabilities with Data Engineering preferred
• Ability to communicate effectively with all levels in the company; this includes written and verbal communications as well as visualizations
• Ability to collaborate in a team setting and work towards a common goal
• Ability to influence stakeholders to consider alternate viewpoints
• Ability to mentor and coach technical resources on Data Engineering guidelines and principles
• Strong architecture, critical thinking, and problem-solving abilities, along with an ability to handle ambiguous, and evolving requirements
• Ability to navigate and work effectively across the organization to influence, inspire, and lead others around decisions that propel the organization towards set vision and goals
• The responsibilities listed above are not all inclusive and may be changed at any time.

Don’t have everything listed under qualifications? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single condition. At Pathward, we are dedicated to building a diverse and inclusive culture of belonging, so if you’re excited about this role but your experiences don’t match exactly to everything in the posting we encourage you to apply anyway. You may be just the right candidate for this or other Pathward roles.

Who we are:

Our commitment to inclusion is woven into our DNA. We believe that we are strongest when we embrace the voices of our employees, customers, partners, and the communities we serve.

We are committed to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty, status as a covered veteran, or any other class protected by federal, state and local laws.
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Data Engineer, Enterprise Data Warehouse at Next Step Systems

Location: Chicago

Data Engineer, Enterprise Data Warehouse, Chicago, IL

We are seeking a Data Engineer to serve on a Data and Analytics team. The primary responsibility of the Data Engineer is to work with other Data Engineers, Business Analysts, Data Architects, BI Developers, and business stakeholders to produce meaningful information from the Enterprise Data Warehouse. Produce datasets for consumption by BI Developers. Produce data extracts for integration with other systems. Validate code and data while providing analytical expertise. Work with DBA on database performance and database planning.

Qualifications:

– Advanced expertise with T-SQL coding, C#, and other programming languages.

– Bachelor””s Degree in computer science or similar degree.

– 5-10 years of experience in the same or similar role.

– Chicagoland-based; no relocation assistance (may work remotely during transition phase).

– Advanced expertise with query development, stored procedures, triggers.

– Expertise with Microsoft SQL stack: SSRS, SSIS, SSAS.

– Expertise with Microsoft Visual Studio Professional and package creation.

– Strong proficiency with Microsoft PowerBI (on-site and cloud-based).

– Experience with Enterprise Data Warehouse.

– Knowledge of GitHub online.

– Knowledge of Microsoft Azure platform and components.

– Knowledge of data science tools.

– Agile and/or Scrum experience.

– Excellent communication and organization skills.

– Excellent documentation skills.

– Healthcare industry preferred; other regulated industries.

– Experience with Epic, Meditech, or Allscripts preferred.

Keywords: Chicago IL Jobs, Data Engineer, T-SQL, C#, SSRS, SSIS, SSAS, Enterprise Data Warehouse, Visual Studio, PowerBI, GitHub, Cloud, Azure, Agile, Scrum, Data Science Tools, Epic, Meditech, Allscripts, Healthcare, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting

Looking to hire a Data Engineer in Chicago, IL or in other cities? Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Data Engineers for jobs in Chicago, Illinois and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today
– provided by Dice
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Data Engineer. Job in Chicago Gr8Jobs at Mars

Location: Chicago

The Data Engineer role is responsible for evangelizing the adoption of data driven decisions across Mars by leading the development of advanced analytical tools that utilize the vast amounts of data available to the company. These tools will be rooted in a strong statistical foundation and leverage Machine Learning to provide actionable insights for solving business problems or finding opportunities for profitable growth. This position may work independently or lead other Junior Data Engineers, receives minimal guidance, is viewed as a go-to in Data Engineering approach and design discussions while establishing credibility with stakeholders at all levels of the organization.

Multiple locations: Chicago-US, New Jersey-US

What are we looking for?
• Bachelor’s degree in Analytics or related quantitative fields (Statistics, Operations Research, Mathematics, Econometrics etc.) Advanced degree is preferred.
• Minimum 3 years of experience in an Applied Data Engineering role or equivalent, ideally within the CPG, Consumer Products, Retail, Telecom, or Financial Services industries.
• Technical expertise in Big Data Tech Stack and experience in database and Data Engineering capabilities
• Rich heritage in designing and building databases, analytics, and BI platforms with Big Data.
• Experience with cloud-based computing platforms like AWS or Azure, Databricks, technologies across traditional and contemporary software (eg SQL Server, Hadoop, NoSQL DB), programming languages such as SQL, Java, C#, C+, Python, R, and visualization tools
• Experience with DevOps principles such as CI/CD, unit testing, and AGILE development.
• Strong problem solving, communication, presentation, and stakeholder engagement skills.
• Planning, project management, and organizational orchestration skills and a strong attention to detail

What will be your key responsibilities?
• Your deep expertise in data analytics, as well as strong practical experience with modern engineering technologies will enable you and the team to intelligently transform data into value, innovate, create high-standard robust production capabilities and deliver increased business benefits.
• You will manage engineering projects in collaboration with other team members (including with offshore talent partners) to ensure rapid development of quality, scalable and sustainable data solutions, with global best practices and consistency.
• You will manage the design of our cloud-based data solutions and models to enable insights and ensure the right technologies are in place for our needs – deliver engagements with the most up-to-date capabilities available in the industry.
• Engage and collaborate with data and IT owners across Mars to drive data quality and availability, and ensure data improvement plans in place and support effective governance, harvest, and maintain coherent Data Models to ensure holistic leadership of the data solution within the environment.
• Day-to-day you will work in multidisciplinary teams & collaborate with Mars Global Analytics, Big Data Engineering, and Advanced ML teams.
• Engage with different teams to understand the business vision and opportunities, build solutions using existing or new data sets to create scalable, robust, modularised solutions.
• Contribute to Architecture Review process by assessing, authorizing solutions proposed by different projects, ensuring that standards and patterns are followed by all projects under Supply Chain Analytics areas


• Work with over 130,000 like-minded and talented Associates, all guided by The Five Principles.
• Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
• Best-in-class learning and development support from day one, including access to our in-house Mars University.
• An industry competitive salary and benefits package, including company bonus.
Find out more about what Mars can offer you by visiting our Global Careers site .
• Screening call
• First interview
• Panel interview
Python, Spark, DatabricksPython, Spark, Databricks
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Products & Solutions – Data Engineer – Senior Associate at PwC

Location: Chicago

*Specialty/Competency:* Advisory – Other.Industry/Sector:* Not Applicable.Time Type:* Full time.Travel Requirements:* Up to 20% A career in Products and Technology is an opportunity to bring PwC’s strategy to life by driving products and technology into everything we deliver. Our clients expect us to bring the right people and the right technology to solve their biggest problems; Products and Technology is here to help PwC meet that challenge and accelerate the growth of our business. We have skilled technologists, data scientists, product managers and business strategists who are using technology to accelerate change. Our team establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. We develop the data sets and pipelines that will support analysis and model development including improving data quality, integration of disparate data sources, enhancement of data, transformation of data and development of performant infrastructure for access and reporting. As well, we design, build and oversee the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: + Use feedback and reflection to develop self awareness, personal strengths and address development areas. + Delegate to others to provide stretch opportunities and coach to help deliver results. + Develop new ideas and propose innovative solutions to problems. + Use a broad range of tools and techniques to extract insights from from current trends in business area. + Review your work and that of others for quality, accuracy and relevance. + Share relevant thought leadership. + Use straightforward communication, in a structured way, when influencing others. + Able to read situations and modify behavior to build quality, diverse relationships. + Uphold the firm’s code of ethics and business conduct..Job Requirements and Preferences* :.Basic Qualifications* :.Minimum Degree Required* : Bachelor Degree.Additional Educational Requirements* : Bachelor’s degree or in lieu of a degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college..Minimum Years of Experience* : 2 year(s).Preferred Qualifications* :.Degree Preferred* : Master Degree.Preferred Fields of Study* : Computer and Information Science, Mathematics, Data Processing/Analytics/Science, Engineering.Preferred Knowledge/Skills* : Demonstrates thorough abilities and/or a proven record of success within a professional services environment, in the following areas: + Designing and building data analytics solutions based on requirements and industry best practices; + Delivering robust, innovative and performant data integration, including batch processing and Real Time streaming scenarios; + Advising and developing data models, including data warehouse, analytical and semantic layers; + Designing and creating dashboards and reports to present information in a clear and efficient way through the right visualization format and structure; + Providing consulting to client facing and technical delivery teams; + Assisting the implementation and adoption of new data platforms and products from an initial design to proof-of-concept and production phases; + Performance tuning to enable solutions to run faster and to enhance user experience; + Working with our local and Global teams to align and integrate our data solutions with other initiatives; + Providing knowledge transfer to the team members and other groups; + Keeping the leadership and team aware of key issues, identify and resolve potential problems and conflicts; + Understanding of data models, data integration architectures and visualization tools; + Working experience with databases, and their modeling, querying and integration options, including relational (SQL), multi-dimensional (MDX) and tabular (DAX), Alteryx; + Exhibiting familiarity with analytics and big data related applications and cloud services, their roles, features, configuration and integration options; + Working experience with analytical and BI tools such as Power BI, Tableau; + Working experience with Python for data extraction and transformation; + Showcasing practical experience with data quality and lineage challenges and solutions; + Communicating in an organized and knowledgeable manner in written and verbal formats with the ability to explain complex data solution design to non-data savvy leaders and teams; + Working with stakeholders including executive, product, data and design teams to assist with data-related technical issues and support their data infrastructure needs; + Exhibiting self-motivation to learn new technologies and processes, with an ability to work with minimal supervision; + Possessing flexibility and adaptability with regard to change and disruptions; and + Possessing industry relevant certifications and 2+ years experience in data analytics roles. At PwC, our work model includes three ways of working: virtual, in-person, and flex (a hybrid of in-person and virtual). Visit the following link to learn more: https://pwc.to/ways-we-work. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. For positions in Colorado, visit the following link for information related to Colorado’s Equal Pay for Equal Work Act: https://pwc.to/coloradoadvisoryseniorassociate. \#LI-Remote
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Senior Data Engineer (Remote Eligible) at Capital One

Location: Elmwood Park

77 West Wacker Dr (35012), United States of America, Chicago, Illinois

Senior Data Engineer (Remote Eligible)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you’ll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You’ll Do:
• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:
• Bachelor’s Degree
• At least 4 years of experience in application development (Internship experience does not apply)
• At least 1 year of experience in big data technologies

Preferred Qualifications:
• 5+ years of experience in application development including Python, SQL, Scala, or Java
• 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
• 2+ year experience working on real-time data and streaming applications
• 2+ years of experience with NoSQL implementation (Mongo, Cassandra)
• 2+ years of data warehousing experience (Redshift or Snowflake)
• 3+ years of experience with UNIX/Linux including basic commands and shell scripting
• 2+ years of experience with Agile engineering practices

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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For Remote Senior Data Engineer (Remote Eligible) roles, visit Remote Senior Data Engineer (Remote Eligible) Roles

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