Remote Data Engineers openings in Houston, Texas Area on September 22, 2022

Enterprise Data Engineer at Insperity

Location: Houston

There’s a reason Insperity was ranked in the top 3% on WorkplaceDynamics’ National Top Workplaces list and named one of the top 100 companies to work for in the U.S.

Want to work for us and find out why?

As a trusted advisor to America’s best businesses for more than 35 years, Insperity provides an array of human resource and business solutions designed to help improve business performance. In addition, we provide the client company and their worksite employees with a wide array of value-added benefits and services.

Insperity offers a competitive compensation package and a world-class benefits package, including 19 days paid time off, 9 paid holidays, medical, dental and vision benefits, 401k and tuition reimbursement. At Insperity, we’re committed to providing a positive work environment, and to helping our employees succeed both personally and professionally.

Enterprise Data Engineer

We are currently seeking a Enterprise Data Engineer to join our team.

Summary

This position is responsible for expanding and optimizing enterprise-wide data and data pipeline architectures, collection of data from sources across the company, and visualization and reporting strategies of the collected data. Implements data pipelines, acquires, transforms, and optimizes data sets for various use cases across the company. Ensures data sets are prepared for easy consumption by internal and external customers. This position will collaborate regularly with developers, architects, analysts, data scientists, and business facing users across various data initiatives and will ensure architectures and strategies remain consistent throughout ongoing projects. Responsible for continued improvement of our company’s data architecture and visualization strategies to support next generation products and data initiatives.

Responsibilities

Under limited supervision and much decision-making:
• Partners with stakeholders to create tools that utilize the data pipeline to provide actionable, data driven insights.
• Identifies, designs, and implements process improvements with a heavy focus on automation, data delivery optimization, self-service, and scalability.
• Works seamlessly with stakeholders including Executives, Product Management, Centers of Excellence, and others.
• Creates and maintains data pipeline architectures to meet continuing needs of stakeholders.
• Assembles large, complex data sets that meet business requirements.
• Collaborates with various infrastructure and architecture teams to optimize acquisition and transformation of data from a wide variety of data sources using SQL and other ‘big data’ technologies.
• Ensures data is prepared for easy visualization and reporting.
• Defines and implements self-service/highly scalable visualization and reporting strategies across the enterprise.
• Ensures data security across all implementations, data centers, cloud providers, client machines, etc.
• Collaborates with team members as we build and optimize our data assets into an innovative competitive advantage.

Qualifications
• High School Diploma or equivalent is required. Bachelor’s Degree in Computer Science or related field, or equivalent work experience in the Business Intelligence/Data Engineering field specifically, is required.
• Three to five years of professional experience in information systems is required with at least one (1) years’ experience developing, architecting, managing, or maintaining enterprise grade software systems, database administration, or similar discipline.
• Deep understanding and practical experience with MSSQL and other relational databases.
• Working knowledge of unstructured “NoSQL” data storage tools and techniques.
• Good working and functional knowledge of database architecture concepts and the fundamentals of good enterprise technology architecture and design.
• Understanding of various ‘big data’ management tools/techniques,e.g. Hadoop, Snowflake, Redshift, Tableau, PowerBI, Databricks, etc.
• Strong leadership, teamwork, and collaboration skills.
• Strong consensus building skills and the ability to find common ground or mutual agreement across complex topics involving compromise, negotiation, and similar tactics.
• Ability to express complex, technical topics to management, peers, and others who may not possess a strong data background. Ability to express deep or technical topics in easy-to-understand terms.
• Strong customer service skills.
• Exhibits a passion for learning and continuous improvement. Takes responsibility for acquiring new skills and broadening knowledge.
• Exhibits a commitment to the utilization of defined standards and processes.
• Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms and maintain effective work relations with those encountered in the course of employment.
• Proactive at identifying and recommending areas for improvement and increased reliability.
• Ability to create technical documentation and a desire to share that knowledge amongst team members.

At Insperity, we celebrate the diversity of our employees and our leadership. Insperity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Apply Here
For Remote Enterprise Data Engineer roles, visit Remote Enterprise Data Engineer Roles

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Data engineer at Amtex Systems Inc

Location: Houston

Job Description
Hello

Data Engineer
Houston, TX (Onsite)

Must Have Skills
• Python Pandas, Numpy, Pytest, Scikit-Learn
• SQL
• Apache Airflow nice to have
• Kubernetes or equivalent
• CI/CD
• Git
• Understanding of Test Driven Development (TDD)
• API development
• Knowledgeable of Machine Learning

Responsibilities
• Create, test, and maintain data pipeline architectures
• Work independently on analytic projects for multiple business functions
• Automate manual data flows for repeated use and scalability
• Develop data-intensive applications with API’s
• Develop algorithms to transform data into useful, actionable information
• Operationalize mathematical models and machine learning models
• Assist data analysts and data scientists with data processing automation and deployment
• Implement data quality checks to ensure data accuracy and consistency
Apply Here
For Remote Data engineer roles, visit Remote Data engineer Roles

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Lead Cloud Data Engineer at JPMorgan Chase & Co.

Location: Houston

As an experienced member of our Software Engineering Group, we look first and foremost for people who are passionate around solving business problems through innovation and engineering practices. You’ll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.

This role requires a wide variety of strengths and capabilities, including:
• BS/BA degree or equivalent experience
• Advanced knowledge of application, data, and infrastructure architecture disciplines
• Understanding of architecture and design across all systems
• Working proficiency in developmental toolsets
• Knowledge of industry-wide technology trends and best practices
• Ability to work in large, collaborative teams to achieve organizational goals
• Passionate about building an innovative culture
• Understanding of software skills such as business analysis, development, maintenance, and software improvement
• Demonstrated working expertise and hands-on experience with big data technologies including batch and streaming solutions
• Hands-on experience working with delivering software in cloud (AWS, Azure and Google Cloud, or any other cloud storage).
• Knowledge and experience in AWS Data Analytics ( EMR, Glue, S3, Lake Formation)
• Experience in Big Data platforms which should include experience with Spark, Kafka or similar technologies
• Knowledge and experience in any one of the following languages: Java, Scala or Python
• Knowledge and experience in infrastructure technologies like Docker, Kubernetes, Teraform or similar technologies
• Apply latest DevOps concepts to continuously improve and transform platform into a highly available, highly maintainable platform
• Experience with Agile development methodologies

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.

The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the “WELL Health-Safety Rating” for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.

As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. Employees are expected to follow the Firm’s current COVID-19 or other infectious disease health and safety requirements, including local requirements. Requirements include sharing information including your vaccine card in the firm’s vaccine record tool, and may include mask wearing. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests as required by applicable law.

Equal Opportunity Employer/Disability/Veterans
Apply Here
For Remote Lead Cloud Data Engineer roles, visit Remote Lead Cloud Data Engineer Roles

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Data Engineer at Arthur Lawrence

Location: Houston

Arthur Lawrence is urgently looking for a Data Engineer for a client in Houston, TX. Kindly review the job requirements below. Your immediate application will enable us to place you successfully.

Must Have:
• 9+ years of experience as a Data Engineer
• Skilled in Power BI, data capture, Build Modern Data Pipelines, Tableau, MS PaaS data services, SSIS, and DevOps
• Proven experience in Azure, Data Streams, end-to-end batch, Alteryx, Data Services, Informatica, SAP HANA, and SQL

Nice to Have:
• Bachelor s degree Computer Science or equivalent qualifications
• MCSA Cloud Platform Certification
• MCSE Cloud Platform & Infrastructure

Contact Information
• Talent Advocate: Zach
• Email: Your application on Dice is directly delivered to the Talent Advocate’s inbox.

About Us:

Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enables organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.

We are an UN Women Empowerment Principal Signatory and are certified from National Minority Supplier Development Council.

Acknowledgements from Industry Peers:
• Winner of Entrepreneur 360 Award (2019).
• IAOP Award; Ranked in top 100 internationally.
• Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest. Growing companies of America.
• Named one of the top ten fastest growing businesses in Houston in 2016.
• Ranked 25th in the HBJ s Fast 100 Private Companies Award in 2017.

Our Seven Pillars:

We rely on the seven core values that we believe enable us to deliver quality for our consultants and clients: Education, Integrity, Value Creation, Collaboration, Best Client, Best People and Stewardship

Through strict adherence to these core values, we have achieved success beyond all documented forecasts and anticipation.

For more information, visit www.arthurlawrence.ne t
Apply Here
For Remote Data Engineer roles, visit Remote Data Engineer Roles

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Data Engineer at Weatherford

Location: Houston

Overview

Weatherford is a leading global energy services company. Our world-class experts partner with customers to optimize their resources and realize the full potential of their assets. Across our operating locations, including manufacturing, research and development, service, and training facilities, operators choose us for strategic solutions that add efficiency, flexibility, and responsibility to any energy operation.

We are focused on technology development, digital solutions, and defining our footprint in the new energy space. Our ability to provide integrated solutions across our segments will be critical to growth in our core operations and the energy transition.

Energy producers face unique challenges every day, so it is our job to create solutions that enhance safety, streamline operations, and sustain uptime to meet or exceed their targets. We operate across the global energy landscape employing some of the best diverse talent in the industry. At Weatherford, we understand the value each individual brings to the table. We celebrate diversity in all its forms and are immensely proud of our workforce. We invite you to join our passionate, talented, word-class team.

When you join Weatherford, you instantly feel connected to something bigger – a community that is grounded by our core values and driven to create innovative solutions for our customers. We celebrate each other’s successes, grow together, and learn from each other constantly. Individually, we are impressive. Together, we are unstoppable. We are One Weatherford.

Weatherford offers competitive compensation, a comprehensive benefits program and provides you a challenging and enriching career path, with a healthy balance of structure and flexibility to chart your own course.

Weatherford is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Responsibilities

Job Purpose

The Data Engineer will work on a variety of data engineering projects across our customer-facing business. The individual will combine their technical expertise with strong discernment and data domain knowledge to add new value for Weatherford by defining, building, and supporting BigData & Analytics solutions that become the foundation of our Oilfield Services & Digital offerings in Drilling. The role will collaborate with domain experts from the Product Lines as well as Engineering teams (including Software).

Roles & Responsibilities

SAFETY, SECURITY & COMPLIANCE
• Maintains the highest standards of corporate governance, ensuring that all activities are carried out ethically and in compliance with Company’s Security, Compliance & HSE policies, Management System, relevant laws, regulations, standards and industry practices and complies with the Company’s Rules to Live By
• Places Quality, Health & Safety, Security and protection of the Environment as core values while never intentionally placing employees, our processes, customers or the communities in which we live and work at risk
• Seeks continual improvement in Health, Safety, Security & protection of the Environment, taking into account responsible care, process vulnerabilities, public, customer and employee inputs, knowledge and technology and best business practices to exceed customer expectations
• Supervisors & Managers should demonstrate effective safety leadership for the health and safety arrangements of all subordinates and for any persons visiting them while on the Company premises

QUALITY
• Responsible for being familiar with the Company’s Quality policies and taking an active role in the compliance and improvement of Weatherford’s Management System
• Maintains service quality as an immediate priority when working across all areas of the business and continually seeks areas for improvement

OPERATIONS
• Provide input to the business strategy to help guide the overall direction of data analytics & management within the organization
• Identify programmatic challenges and leading indicators to present the problems as well as solutions visually
• Lay the groundwork for Digital Solutions teams to easily retrieve the needed data for their evaluations and experiments
• Analyze large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines
• Collaborate with different departments, technical SMEs, and testers to solve problems and convey key messages using data visualization approaches, techniques, and methods
• Connecting to data sources, importing data and transforming data for Business Intelligence
• Provide technical solutions using Process Automation Tools, Artificial Intelligence and Machine Learning
• Generate innovative ideas, establish new research directions, and shape and execute technical projects

COMMUNICATION
• Communicate ideas, plans and results effectively via oral reports and written documentation.
• Maintains effective communications with all key stakeholders both internal and where appropriate external

FINANCIAL
• All employees have an accountability to the organization to be financially responsible whether they are in charge of a function budget or simply their own expenses
• Costs incurred should be within the approved budget, processed within agreed time frames & following the relevant financial policy and procedure

PEOPLE & DEVELOPMENT
• Employees have a responsibility for developing their own careers within the Company including completing all necessary function, compliance & business standards training to enhance their knowledge, skills and experience
• Employees should engage on a regular basis with their line manager to discuss their personal performance, objectives and opportunities to enhance their skills and experience to support their career potential

Qualifications

Experience & Education

REQUIRED
• Bachelor’s degree in Computer Science
• 3+ years of experience in data analytics or data engineering
• Experience with cloud platforms

Knowledge, Skills & Abilities

REQUIRED
• Strong SQL skills as applied to analytics context
• Familiar with the digitalization of business processes
• Familiarity with advanced analytical techniques, machine learning and data visualization tools
• Business analysis skills
Apply Here
For Remote Data Engineer roles, visit Remote Data Engineer Roles

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Lead Big Data Engineer at AgileEngine

Location: Houston

At AgileEngine, you’re free to build your own team of A-players and choose out of 70+ available projects the one you’d like to work on. Join the squad of top-3% software experts who make a difference through off-the-wall solutions.

About our projects

One of our projects revolves around full-stack web application development, software testing, and database enhancement for an embedded analytics provider. Thanks to our joint efforts, our client has been named a leading vendor of supply chain analytics technology in the Gartner Market Guide and received a patent for an innovative approach to real-time big data collection and predictive analytics.

The other project is dedicated to automotive IoT and big data solutions. Our deliverables include solutions that track known and historical locations of vehicles and control car modules and sensors. These solutions have been developed and shipped in a cross-platform format.

With us, you can
• Build your dream team and try yourself in different roles
• Pick a project you want to work on
• Get premium compensation for the right skills
• Enjoy flexibility by operating remotely or onsite in one of our R&D centers
• Shape your success journey through a personalized growth roadmap tailored to your interests and goals
• Embrace agility – forget about micromanagement and old-school hierarchies

We are looking for a leader who has
• 8+ years of experience with cloud based Big Data Technologies + team lead experience
• Experience working in a cross-functional team
• Upper-Intermediate English level
• Solution-focused thinking and an ownership mindset
• Positive and open-minded style of communication
• Elevated self-awareness and a desire to share your expertise

Requirements

We are looking for a leader who has
• 8+ years of experience with cloud based Big Data Technologies + team lead experience
• Experience working in a cross-functional team
• Upper-Intermediate English level
• Solution-focused thinking and an ownership mindset
• Positive and open-minded style of communication
• Elevated self-awareness and a desire to share your expertise
Apply Here
For Remote Lead Big Data Engineer roles, visit Remote Lead Big Data Engineer Roles

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Data Engineer at Schlumberger

Location: Houston

Back End Data Engineer

Location: Houston, Texas

Job Description

The Schlumberger Back End Data Engineer develops the back end of a data processing application, i.e. handling the logic, database interactions, user authentication, configuration, data processing, performance and scalability tuning etc. The Data engineer implements given requirements as per standard engineering practices and company standards, performs requirements analysis and design, as well as evaluates technologies and patterns suitable for the solution. The position reports to the software project manager.

Hybrid work model

Responsibilities

· Builds prototypes, products and systems that meets the project quality standards and requirements Keep this?

· Provides technical leadership and documentation to developers and stakeholders Keep this?

· Contributes to and supports re-use through common components that are well documented and tested.

· Provide timely corrective actions on all assigned defects and issues.

· Contributes to development plan by providing task estimates.

· Design and implement solutions for problems arising out of large-scale and high velocity data processing

· Ensure end-to-end ownership of all tasks being aligned

· Design, build & maintain efficient, reusable & reliable code

· Test implementation, troubleshoot & correct problems

· Capable of working as an individual contributor and within team too

· Ensure high quality software development with complete documentation and traceability

· Fulfil organizational responsibilities (sharing knowledge & experience with other teams/ groups)

· Conduct technical training(s)/session(s), write whitepapers/case studies/blogs etc. Keep this?

· Analyze, process raw data, upload to cloud.

· Build robust, fault-tolerant data pipelines that process, clean, transform and aggregate data into consumable storage format.

· Strong understanding of database technologies, able to write complex and scalable queries.

· – Performance tuning and testing (this are your data points)

Background

· Bachelors degree or higher in Computer Science or related with minimum 4 years working experience

Skills and knowledge

1. Mandatory

· 2 years of software development experience in Big Data technologies (Spark/Hive/Hadoop)

· Strong Azure experience

· Design, build and maintain data processing pipelines in Apache NiFi, Spark Jobs, AirFlow

· Good experience in Databricks, Delta Lake, Spark on Kubernetes

· Good understanding of Azure DevOps

· Understanding on databases, data warehouses, data lakes

· Experience in working on Hadoop Distribution, good understanding of core concepts and best practices

· Good experience in building/tuning Spark pipelines in Scala/Python

· Good experience in writing complex Hive/Delta Lake queries to derive business critical insights

· Good Programming experience with Python/C#

· Experience with Azure Databricks, exposure to Kubernetes/Kinesis will be good to have

· Experience in NoSQL Technologies – HBase/Azure Tables, Pinot, Dynamo DB

· Strong DevOps, Data Engineering skill

· Strong in PySpark & SQL

· Experience with CI/CD

· Exposure in PowerBI, SpotFire, Dataiku

· Experienced in application profiling, bottleneck analysis and performance tuning

· Knowledge and experience with version control tools (Git preferred but not mandatory)

2. Nice to have

· Build, test and maintain tools, infrastructure to support Data science initiatives

· Good communication and cross functional skills.

· Experience deploying machine learning models into production environment. Important?

· Knowledge of containerization and orchestration (such as Docker, Kubernetes)

· Experience with ML training/retraining, Model Registry, ML model performance measurement

· Oil and gas industry experience

· Architectural expertise lose this?

Schlumberger is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or other characteristics protected by law. Schlumberger is a VEVRAA Federal Contractor – priority referral Protected Veterans requested.

Job Type: Full-time

Pay: $120,000.00 – $170,000.00 per year

Benefits:
• 401(k)
• 401(k) matching
• Dental insurance
• Employee discount
• Flexible schedule
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Professional development assistance
• Referral program
• Relocation assistance
• Vision insurance

Schedule:
• 8 hour shift

Supplemental pay types:
• Bonus pay

COVID-19 considerations:
Contract tracing, work from home when exposed.

Ability to commute/relocate:
• Houston, TX 77077: Reliably commute or willing to relocate with an employer-provided relocation package (Required)

Education:
• Bachelor’s (Required)

Experience:
• Spark: 2 years (Required)
• Kubernetes: 2 years (Required)
• SQL: 1 year (Preferred)

Work Location: One location
Apply Here
For Remote Data Engineer roles, visit Remote Data Engineer Roles

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Lead Cloud Data Engineer at jpmc/CX_1001

Location: Houston

As an experienced member of our Software Engineering Group, we look first and foremost for people who are passionate around solving business problems through innovation and engineering practices. You’ll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.

This role requires a wide variety of strengths and capabilities, including:
• BS/BA degree or equivalent experience
• Advanced knowledge of application, data, and infrastructure architecture disciplines
• Understanding of architecture and design across all systems
• Working proficiency in developmental toolsets
• Knowledge of industry-wide technology trends and best practices
• Ability to work in large, collaborative teams to achieve organizational goals
• Passionate about building an innovative culture
• Understanding of software skills such as business analysis, development, maintenance, and software improvement
• Demonstrated working expertise and hands-on experience with big data technologies including batch and streaming solutions
• Hands-on experience working with delivering software in cloud (AWS, Azure and Google Cloud, or any other cloud storage).
• Knowledge and experience in AWS Data Analytics ( EMR, Glue, S3, Lake Formation)
• Experience in Big Data platforms which should include experience with Spark, Kafka or similar technologies
• Knowledge and experience in any one of the following languages: Java, Scala or Python
• Knowledge and experience in infrastructure technologies like Docker, Kubernetes, Teraform or similar technologies
• Apply latest DevOps concepts to continuously improve and transform platform into a highly available, highly maintainable platform
• Experience with Agile development methodologies
Apply Here
For Remote Lead Cloud Data Engineer roles, visit Remote Lead Cloud Data Engineer Roles

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Data Engineer – SQL, Big Data, Data Management at Bowman Williams

Location: Houston

Data Engineer – SQL, Big Data, Data Management
• **This is a 100% work from home role but At this time, only candidates in the following states can apply: CA, ID, GA, TX, NM, CO, UT, OR, MO, FL, MI, WY, AL, OH, and RI***

Data Engineer – SQL, Big Data, Data Management

We are hard at work building a future where technology is a competitive advantage for our clients. We are an award-winning information technology consulting firm delivering digital transformation solutions, IT assessments, managed services, IT security, and support. We specialize in cloud computing, IT security and compliance, disaster recovery, business continuity. We also deliver network infrastructure, virtualization, and help desk services to clients in agribusiness, finance and banking, manufacturing, and professional services. Headquartered in San Jose, Calif., and with offices in Salinas, Calif., and Meridian, Idaho, we are the premier provider of information technology/cloud for Western agribusinesses.

Due to our Data and Software division currently developing and growing, we are looking for a tech savvy Data Engineer – SQL, Big Data, Data Management to contribute to the building, operating, and scaling of next generation data platforms and tools that will power data-driven analytics capabilities throughout the product and services portfolio, spanning areas such as business intelligence, reporting, and data analytics!

The Data Engineer – SQL, Big Data, Data Management will be a full time, permanent, 100% remote position. The Data Engineer – SQL, Big Data, Data Management can work in any time zone and must be comfortable working 8am-5pm in their local time zone, with the understanding/flexibility to attend a meeting for clients in different time zones outside of the normal 8-5 hours here or there (not frequently).

The total compensation (base and performance based bonus) range for the Data Engineer – SQL, Big Data, Data Management will be $130-$150K commensurate on experience. BUT WE ARE ALSO OPEN TO A MORE JUNIOR PERSON WITH BASE REQUIRED KNOWLEDGE AND TRAIN THEM UP FOR THE NEW TEAM.

The ideal Data Engineer – SQL, Big Data, Data Management is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Must be comfortable supporting the data needs of multiple clients and teams, systems, and products within the modernization of ecosystems. The right Data Engineer – SQL, Big Data, Data Management will be excited by the prospect of optimizing or even re-designing data processes to support next generation of advanced analytics capabilities, which in-turn translates to implementing strategic enhancements to maintain competitive advantage in the industry.

Data Engineer – SQL, Big Data, Data Management Responsibilities/Requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the analytics processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Data Management and cloud based ‘big data’ technologies.
• Build analytics tools that utilize technologies to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Collaborate with client teams to identify and solution regional and local requirements within the context of the standard global business model for enterprise analytics.
• Participates in meetings, discussions, strategy sessions where changes, improvements, and enhancements are proposed, evaluated, and approved.

Data Engineer – SQL, Big Data, Data Management Pluses
• Associates/Bachelors degree or higher in Computer Science or related field
• Experience working with BI and data warehousing tools
• Experience working with enterprise data, where security is paramount and data governance is critical
• Ability to work independently and in a team environment, and effectively engage all levels of the organization
• Understanding of distributed systems driving large-scale data processing and analytics with a successful history of manipulating, processing, and extracting value from large, disconnected datasets.
• Ability to communicate effectively (listening, presenting, and questioning)
• Strong organizational, written, and communication skills

Data Engineer – SQL, Big Data, Data Management Benefits Include
• Medical, Dental, Vision
• 401K with up to 25% match
• Certification Exam Reimbursement
• and more!
• Actual salary for the Data Engineer – SQL, Big Data, Data Management to commensurate with experience*

Other Keywords

Hadoop, Apache, MongoDB, Redshift, BigQuery, SAP, Datapine, MicroStrategy, Yellowfin, Cassandra, Cloudera, NoSQL, Azure

Opportunity Location

Houston, TX

Proposed Salary

$130,000 – $150,000

Bowman Williams is a national specialized staffing firm for Cloud Service Providers and Managed Service Providers. Ranked by Forbes as one of America’s top 200 Best Staffing Firms in America, we are a good resource for candidates looking to advance their careers in the Cloud Solutions and Services industry.

Tagged: #LM555

Apply For This Opening

Apply To Bowman Williams
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For Remote Data Engineer – SQL, Big Data, Data Management roles, visit Remote Data Engineer – SQL, Big Data, Data Management Roles

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Senior Data Engineer at Proofpoint

Location: Houston

It’s fun to work in a company where people truly BELIEVE in what they’re doing!
_We’re committed to bringing passion and customer focus to the business._
The Role
We are seeking a _Senior Data Engineer_ to join our team at our Pittsburgh office located in the Strip District (and remote for the time being). This individual should have experience with data systems for operational and analytical purposes, advanced SQL knowledge, and skill in working with complex ETL processes that move millions of data points quickly.
Our Engineers are designing and developing our market-leading security training and assessment software.  Our goal is to help organizations teach their employees to secure behavior through interactive web applications, received, and managed by our customers on our proprietary SaaS platform. Our team specifically is responsible for ensuring that our end users and administrator can access their data to gain information and insight into their people-based security risk and plan their mitigation strategy.
The ideal candidate is enthusiastic to work in a fast-paced environment supporting a global SaaS product. As a Senior Data Engineer, you will lend your skillsets to help lead the design and implementation of a key customer-facing component that has high visibility and value within the organization as well as provide subject matter expertise in data modeling and processing to the rest of the organization.
Your day to day
+ Work with other data engineers on the system design and delivery of scalable, secure, and supportable enterprise software solutions for our customer-facing platforms
+ Participate in our agile work-flow process, including concept development, architectural design, design specification, story decomposition, planning, execution, testing, acceptance, and retrospection
+ Build and refine efficient data structures and queries that return information quickly and accurately.
+ Work with other development teams to understand and meet the needs of their data utilization.
What you bring to the team
+ 8+ years of work experience with SQL
+ 5+ years of work experience with either MySQL or PostgreSQL
+ 5+ years of experience designing, developing and supporting applications in a cloud environment
+ BS/BA in a software-related field
+ Experience with large-scale ETL processes, including technologies such as Airflow with Python.
+ You should possess advanced knowledge of SQL in either PostgreSQL or MySQL environments (or both).
+ Familiarity with AWS is a plus, especially including a subset of the following services: RDS, EC2, S3, Data Pipeline, Glue, SNS, Kinesis, Lambda, DynamoDB, EMR, Redshift, and Elasticsearch
+ Comfort in working across multiple operating systems, including macOS and Windows
+ Comfortable with Git for version control
+ Can work independently and thrives with autonomy
Preferred Skills
· Advanced SQL knowledge
· Advanced ETL experience moving data at scale
· Experience designing and deploying applications on Amazon Web Services
· Experience building customer-facing applications at scale
_If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!_
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Apply Here
For Remote Senior Data Engineer roles, visit Remote Senior Data Engineer Roles

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