Fulltime Data Engineers openings in Los Angeles on September 11, 2022

Manager, Data Engineering at Professional Diversity Network

Location: Los Angeles

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today. We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment. Together we keep the world cheering. The Role AXS is seeking a Manager, Data Engineering to join our team in Downtown Los Angeles. In this role, you will be responsible for the people and tech that power our business intelligence, big data, personalization, analytics, data science, and machine learning platforms. Aligning with executive priorities, you will be responsible for implementing data management initiatives to improve data quality, drive operational work, provide key insights, and deliver innovative solutions. This is a highly visible and strategic role where you will be working with stakeholders across the business, and directly with our sports and music clients. You will be working cross-functionally in a collaborative manner within a matrix environment. What you’ll do Hire, build and manage a global data engineering team Provide mentorship, guidance and leadership to your team Develop strong relationships in keeping top engineering talent Effectively collaborate and communicate with product, data analytics, data science, and other global engineering teams Continue to be hands on in working with code, doing code reviews, and evangelizing/improving the software development lifecycle for our engineering organization Work closely with other engineers and architects to expand upon a real time data streaming platform that powers innovative business intelligence initiatives and advanced consumer and enterprise product features Build and improve the data platform that powers advanced analytics and complex machine learning models What we hope you’ll bring BA/BS degree in Computer Science, Engineering, a related technical field or equivalent practical experience 8+ years of technical and management leadership experience Subject matter expert in Big Data and machine learning Good understanding of all aspects of data architectures in a large-scale enterprise environment Demonstrable experience with distributed data warehousing and data processing systems such as Redshift, Snowflake or Spark Deep knowledge of traditional data warehousing (models, practices, and processes), cloud-based data warehouses, data lakes, and data streaming Exceptional system design abilities, including high-scale ETL/ELT pipelines including leveraging python Experience with data pipelines and event-driven architectures (Kinesis, Kafka) Knowledge of data visualization and analytics tools (Tableau, Looker, etc.) Proficiency with machine learning, and classification techniques Advanced knowledge of software lifecycles and testing automation Demonstrated ability to think critically and provide strategic insight and analysis to solve problems and make improvements Responsibilities include being hands on and digging into detail when needed Strong bias for execution, and not afraid to make critical decisions Ability to clearly communicate complex issues to leadership and customers Bonus points if you have Experience working with AWS cloud environments and Kubernetes Experience with workflow management platforms like Airflow Experience with logging, monitoring and alerting tools and best practices Experience with high traffic and large scale global consumer and enterprise software platforms Ticketing industry experience What’s in it for You? A highly visible and strategic role where you will be working with stakeholders across the business, and directly with our sports and music clients Extraordinary People – we’re not kidding! Meaningful Mission – Helping revolutionize an industry and deliver better experiences for fans and clients around the world. Opportunities for learning and leveling up through training and education reimbursement. Why AXS?AXS, a subsidiary of AEG, sells millions of tickets every year for 300+ clients in the US and Europe, from venues like the O2 in London and the Red Rocks Amphitheatre in Denver to teams like the Los Angeles Clippers, Minnesota Timberwolves, and Houston Rockets. Headquartered in Downtown Los Angeles, California, we also work in wonderful offices throughout the US, the UK, and Europe. At each location you’ll find a team of dedicated, diverse employees (we’ve dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment. We love what we do along with our fantastic culture, enviable perks, and comprehensive benefits. To learn more about our culture and values, visit: https://solutions.axs.com/careers/

Apply Here
For Remote Manager, Data Engineering roles, visit Remote Manager, Data Engineering Roles


Staff Software Engineer (Data) – Riot Data, Developer Experiences at Riot Games

Location: Los Angeles

Riot Engineers bring knowledge of specific technical areas but also value the chance to work in many broader domains. As a Senior Software Engineer, you’ll also dive into projects that focus on team cohesiveness and cross-team goals. You’ll lead without authority and provide other engineers with a clear illustration of extraordinary engineering.

As a Staff Software Engineer on the Developer Experiences (DevX) team, you will have the chance to build frameworks and services that allow Fandom and Experiences Data Engineers and Data Scientists to deploy and manage data pipelines and services. Challenges will range from protecting player’s privacy, organizing and optimizing data warehouses using big data tools and cloud-based servers, building a framework for ingesting data and serving real-time analytics. You will report into the Engineering Manager of the Central Data Warehouse team.

• Create and operate tools and services to provide better developer experience
• Lead the design and implementation of new software components
• Find and realize cost-effective solutions in different problem spaces such as application, deployment automation, service discovery, and monitoring
• Produce comprehensive user documentation around your implemented solutions
• Teach, support, and guide other engineers to improve the technical bar and establish lasting mentorship relationships
• Provide ongoing maintenance, support, and enhancements in existing frameworks
• Be on rotational on-call for live product support and operational assessment
• Provide meaningful code review for other members of the team
• Implement new components and feature sets for our data solutions in multiple problem spaces including backend services, deployment, and monitoring
• Attend stand-ups and team rituals, and work with other software engineers to achieve team goals

Required Qualifications
• Bachelor’s degree in Computer Science or comparable field, or equivalent combination of education and experience
• 5+ years experience in as a software engineer across the full software development cycle
• 4+ years experience in Python and SQL
• Experience with CI/CD pipelines, Jenkins or GitHub actions
• Knowledge within a diverse set of public cloud technologies: AWS RDS, S3, EC2, EKS, Lambda, etc.
• Experience with open source ETL frameworks such as Airflow, Luigi, or similar
• Depth of experience with designing, prioritizing, and maintaining high-capacity, high-availability, and software in Agile and DevOps environment
• Experience with data engineering or data pipeline
• Experience with Big Data technologies such as Spark and Kafka
• Understand distributed systems, light weight micro-services, and software at high scale.
• API services using Golang
• Java, Scala, or similar OO experience

For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!

Our Perks

We offer medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. Life insurance, parental leave, plus short-term and long-term disability coverage are also available. Riot will support your retirement benefits with a company match, and double down on your donations of time and money to non-profit charitable organizations. Balance between work and personal life is encouraged with open paid time off, and a play fund so you can broaden and deepen your personal relationship with games.

Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner’s Code and Community Code. Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do, and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in Gaming.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant’s criminal history (LAMC 189.00).
Apply Here
For Remote Staff Software Engineer (Data) – Riot Data, Developer Experiences roles, visit Remote Staff Software Engineer (Data) – Riot Data, Developer Experiences Roles


Data Engineer at Oseberg

Location: Los Angeles

• InTulsa is partnering with Oseberg to find candidates for this exciting role in Tulsa*

Location: Tulsa, OK. This is a remote position for those already in Tulsa, OK or willing to relocate to Tulsa, OK

About Oseberg

Oseberg is a next-generation oil & gas information and data analytics company. Through a suite of all-encompassing B2B SaaS products, we enable our users to search, map, mine, and perform statistical analysis on every strand of data. Our compelling new approaches to rapidly convert the most inaccessible public regulatory and county-level records paired with technology reduces weeks work to moments. These reductions empower our users to rapidly uncover leasing, drilling, enhanced completion, and acquisition opportunities.

Data Engineer, Data Platform Team

As a Data Engineer on our Data Platform Team, youll be responsible for ensuring our core data product is top-notch. Our teams goal is to build a scalable data platform for acquiring, storing, processing, transforming, and preparing all of the companys data using modern data processing techniques. Our expertise is building datasets at scale. Data engineers gain experience in distributed processing, leveraging technologies like Postgres, Apache Flink, and Apache Kafka.

Job Role
• Build datasets from disparate data points with SQL-based technologies
• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional/non-functional business requirements
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL
• Design data models (relational and unstructured)
• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Guide and influence data architecture
• Help build-out/grow data platform
• Write server-side processes for handling data acquisition, storage, and processing

We are a young and growing company. As an engineer, you will have a huge impact on the success and momentum of our organization. Our team is small but we have a fun, hard-working culture. We look for people who love learning and sharing with other team members. Our team is respectful of one anothers strengths and weaknesses. At Oseberg you can expect a high-level of independence and autonomy.

Who We’re Looking For

We’re looking for an engineer who models our core values:
• Demonstrable experience designing and building data processes.
• Comfortable with independence and autonomy.
• Excellent communication skills. Candidates should be comfortable explaining their decisions as well as actively listening to input from their teammates.
• Attention to detail and able to resolve ambiguity.
• Respectful of teammates.
• Not intimidated by lack of present knowledge but has confidence in ability to learn, i.e. you live to grok not the other way around.
• Warriors spirit and a servants heart.
• Takes pride in their work and derives joy from the value it provides.
• Enjoys thinking differently and solving problems in creative ways.


A successful candidate will have the following competencies:
• Strong SQL skills
• Postgres (or similar database)
• Data pipelines and ETL processes
• Be comfortable working with structured and unstructured data
• Basic programming knowledge (bonus if Python, Scala, Java, or a JVM-based language – we use Scala)
• ElasticSearch (if not already proficient, willing to learn quickly)

Experience with the following is not required but a bonus:
• Oil-and-Gas (O&G) industry domain knowledge
• Apache Flink, Apache Spark, Hadoop, or similar data processing framework
• Apache Kafka
• NoSQL methodologies
• GIS and geospatial technologies (PostGIS, ArcGIS suite)
• Scripting (bash, Python)
• Linux (or other *nix environment)


In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Apply Here
For Remote Data Engineer roles, visit Remote Data Engineer Roles


Data Engineer II-Infrastructure (Remote) at Slickdeals

Location: Los Angeles

The Data Engineer works within the Data Solutions organization on critical reporting, visualization, and analysis initiatives. Reporting spans from custom ad-hoc requests to scheduled jobs to supporting our growing data warehouse, and building our future cloud analytics platform. The developer must be able to communicate to business users the exact scope of metrics as well as the confidence and quality of the data in reports.

Work directly with the business users to understand the reporting needs and lead business users to practical solutions
Help translate business requirements into specification documents to track and perform analysis of new and existing site features
Understand the necessity of data quality and requirement for confidence of accuracy of any reports
Develop/monitor/maintain new reports, dashboards, visualizations, procedures, data structures and databases
Design data pipelines and maintain data pipelines in cloud or on-premise environments
Design data schema, perform data transformations, enrichments, and manipulations with efficiency and reusability in mind
Planning, conducting and directing the analysis of complex business problems and projects


Understand data structures and algorithms. Understanding of basic statistics (confidence intervals, statistical significance, etc)
Experience in working with large size data sets (Billions of rows/Petabytes of data)
Experience in working with various data sources (ODBC, flat files, etc)
Experience working with and designing complex data schemas
Strong skills in SQL
Development experience in Java and/or Python
Experience with SQL query performance optimization
Strong skills Experience with Apache Big Data Frameworks (Hadoop/EMR/Databricks, Spark, Hive)
Strong experience with Spark performance optimization and troubleshooting
Experience with Kafka and event driven architectures
Familiarity with workflow scheduling/orchestration tools (Airflow, Jenkins)
Experience with AWS
Experience with Tableau, Looker, Power BI and or other Self Service Analytical tools.
Experience with OLAP Cubing technologies like SSAS or AtScale
Implemented Redshift, Snowflake, Azure Data Warehouse, ADLS, S3, Kafka, Presto, EMR, Databricks, or Data Lake Architecture in one or more public clouds in a Production Large Scale environment.


Highly motivated with a great attitude and desire to dive into raw data to understand trends in behavior to find insights
Curious and passionate about data and data insights that relate to our business needs.
Excellent at multitasking who can execute multiple requests and reports under tight timelines
Inquisitive, self-starter, able to work autonomously
Able to work in a fast-paced dynamic startup like environment
Detail-oriented tactician who strives for perfection
Strong verbal and written communication (and listening) skills
Excellent reading comprehension and attention to detail.
Strong problem-solving skills
Strong documentation skills as you code (Jira, Confluence)d

As a Data Engineer, your day-to-day tasks will include :

Helping us leverage large-scale data stores and data infrastructure by building out data pipelines, streams, and utilities in Spark and other technologies for feedback to our business systems, partners, or users
Developing robust, low latency and fault tolerant pipelines to support business critical systems
Aggregating key metrics for business partners to inform key decisions
Working with cloud technologies to build and deploy your applications

Can work effectively on a small and nimble team, no trouble context-switching
B.S./M.S. in Computer Science or Computer Engineering or 3+ years of equivalent experience

LOCATION : Las Vegas, Los Angeles, Flex/Hybrid, or Fully Remote
_Remote work is available in: Alabama, Arizona, California, Connecticut, Florida, Hawaii, Illinois, Iowa, Kentucky, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, North Carolina, New Jersey, Nevada, New York (does not include NYC), Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina,Tennessee, Texas, Utah, and Washington._

Slickdeals Compensation, Benefits, Perks :

Competitive salary based on your experience
Equity, become a Slickdeals stakeholder
Platinum level medical benefits
Dental, Vision, & Life Insurance
401K matching above the industry standard
10 vacation days, 10 paid holidays, & 48 hours of sick leave
Professional Development Reimbursement Program, and LinkedIn Learning Membership

Work Authorization

Candidates must be eligible to work in the United States.

Slickdeals is an Equal Opportunity Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender (including pregnancy, childbirth, or related medical conditions), national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other protected status. Slickdeals will consider qualified applicants with criminal histories consistent with the “Ban the Box” legislation. We may access publicly available information as part of your application.
Slickdeals participates in E-Verify. For more information, please refer to E-Verify Participation and Right to Work.
_Slickdeals does not accept unsolicited resumes from agencies and is not responsible for related fees._

Job Type: Full-time
Apply Here
For Remote Data Engineer II-Infrastructure (Remote) roles, visit Remote Data Engineer II-Infrastructure (Remote) Roles


Junior Data Engineer at Motion Recruitment

Location: Los Angeles

Job Description

Our client is working with creators by allowing them receive a payout instantly from their content. Creators then use these funds to grow their business, in whichever manner they decide. Our client also provides data insights into the performance of all existing content.

Our client recently closed Series D funding at $1.75 Billion. They have licensed content that consists of over 100,000 videos, generating 40 billion monthly watch-time minutes

Required Skills & Experience
• 4+ years of experience
• Rest APIs
• AWS services (S3, glue or lambda, redshift)
• Python
• Must be a strong coder – everyday coding What You Will Be Doing
• You will be contributing to general growth, help is needed to pull data from YouTube creators, APIs. You must be a strong coder as this role consists of everyday coding. The Offer
• Bonus OR Commission eligible

You Will Receive The Following Benefits
• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k) {including match- if applicable}
• Nearly 40 days of PTO (Vacation, Sick, Company Holidays)
• Quarterly company meetups- all expenses paid

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted By: Trevor Wolff
Apply Here
For Remote Junior Data Engineer roles, visit Remote Junior Data Engineer Roles


Data Engineer at Motion Recruitment

Location: Los Angeles

Job Description
Our client is a large entertainment company based in Los Angeles, and they are looking for a 100% Remote Data Engineer. You will be responsible for consolidating their data platform and building out data pipelines using AWS, Python, Snowflake, and Airflow.

Contract Duration: 6 Months
Required Skills & Experience
• Python
• Airflow
• AWS – S3, Athena, Glue, EMR
• Git
Desired Skills & Experience
• AWS – Lambda, ECS
What You Will Be Doing
Tech Breakdown
• 100% Data Engineer

Daily Responsibilities
• 100% Hands On
– provided by Dice
Apply Here
For Remote Data Engineer roles, visit Remote Data Engineer Roles


Sr. Data Engineer (remote) at Thermo Fisher Scientific

Location: Los Angeles


Life Science Solution Group Finance Data Engineering team is seeking a Data Engineer to join our organization. In this role you will help architect, maintain and continually improve data analytics and automation capabilities. Sitting inside a business unit, you must adapt to varied and shifting needs. You will be working with business users, developers, and data analysts on the team to deliver complete, accurate, well-secured data that enables reporting and analytics across all Finance functions.

To succeed in this role, several of the following should apply

Key Qualifications:
• 5+ years of hands-on experience in relational database/data warehouse development
• Very strong SQL skills; Oracle experience a big plus
• Excellent with Python, Spark, shell scripting
• Experience with various database technologies including Redshift, Oracle, MySQL, MongoDB, and other NoSQL databases
• Exposure to cloud/orchestration architectures such as AWS
• Experience with scripted SQL interaction
• Experience with ETL tools and job orchestration (e.g., airflow, control-m).
• Experience with Git
• Adhere to internal development best practices/lifecycle (e.g., Testing, Code Reviews, Documentation).
• Understanding of data cataloging/lineage tracking concepts and implementation
• Experience developing performant, secured data sources for PowerBI
• Experience preparing data for and using traditional BI tools like Cognos, Business Objects, Essbase, etc., a plus
• Experience leading complex projects from inception through production support
• Excellent oral and written English communication skills


A Data Engineer is a technical expert and works tightly with other data engineers and data analysts on a team to create data integrations, ETL, pipelines and codebase to drive analytics projects from initial experimentation to production level deployment. They work on critical data engineering problems, building bespoke, reliable, accurate, consistent, and architecturally sound solutions that are aligned with business needs. We are looking to expand capabilities in the areas of data privacy, high-performance computing, advanced analytics and general business intelligence. A Finance Data Engineer is a technical expert and works tightly with other data engineers and data analysts on a team to create data integrations, ETL. The Data Engineer architects, maintains and continually improves data analytics and automation capabilities. Data Engineer must develop methods to reliably source, validate, and integrate the data into Datamart

Education & Experience:

Undergraduate degree in Computer Science, MIS, Engineering, Mathematics or any other quantitative field required


Competitive Salary


Work Life Balance

Apply Here
For Remote Sr. Data Engineer (remote) roles, visit Remote Sr. Data Engineer (remote) Roles


Director, Machine Learning Engineering at Bain & Company

Location: Los Angeles

Description & Requirements

What Makes Us a Great Place to Work:

We are proud to be consistently recognized as one of the worlds best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoors list for the last 13 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

Who You’ll Work With

Youll join Bain’s Advanced Analytics Group (AAG). A team of high-impact quantitative technology specialists who solve statistical, machine learning, and data engineering challenges that we encounter in our client engagements. AAG team members hold advanced degrees in subjects ranging across statistics, mathematics, computer sciences and other quantitative disciplines, and have backgrounds in a variety of fields including data science, marketing analytics and research.

What You’ll Do
• As a member of the growing Data Science and Machine Learning (ML) Engineering team in Bain’s Advanced Analytics Group, you will:
• Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety of sectors
• Translate business objectives into data and analytics solutions and translate results into business insights using appropriate data engineering and data science applications
• Partner closely with other engineering and product specialists at Bain to support development of innovative analytics solutions and products
• Transform existing prototype code into optimized scalable, production-grade software
• Lead the development of re-usable frameworks, model and components
• Drive best practices in machine learning engineering and MLOps
• Develop relationships with external data and analytics vendors
• Provide thought leadership in state-of-the-art machine learning techniques
• Develop and deploy industry-leading machine learning solutions, aimed at solving client problems across industry verticals and business functions
• Act as Professional Development Advisor to a team of 3-5 machine learning engineers
• Work closely with AAG leadership to extend and grow our machine learning, engineering and analytics capabilities
• Help develop Advanced Analytics intellectual property and identify areas of new opportunity for data science and analytics for Bain and its clients
• Travel is required

About You
• Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Physics, Statistics, Applied Mathematics, etc.
• 10+ years of software engineering, analytics development or machine learning engineering experience
• 3+ years of experience managing data scientists and ML engineers
• Strong understanding of fundamental computer science concepts, software design best practices, software development lifecycle and common machine learning design patterns
• Solid understanding of foundational machine learning concepts and algorithms
• Broad experience deploying production-grade machine learning solutions on premise or in the cloud
• Expert knowledge of Python programming and machine learning frameworks (Scikit-learn, TensorFlow, Keras, PyTorch, etc.)
• Experience implementing ML automation, MLOps (scalable development to deployment of complex data science workflows) and associated tools (eg MLflow, Kubeflow)
• Experience working in accordance with DevSecOps principles, and familiarity with industry deployment best practices using CI/CD tools and infrastructure as code (eg, Docker, Kubernetes, Terraform)
• Extensive experience in at least one cloud platform (eg AWS, GCP, Azure) and associated machine learning services, eg Amazon SageMaker, Azure ML, Databricks
• Familiarity with Agile software development practices
• Strong interpersonal and communication skills, including the ability to explain and discuss machine learning concepts with colleagues and clients
• Ability to collaborate with people at all levels and with multi-office/region teams
• Ability to work independently and juggle priorities to thrive in a fast paced and ambiguous environment, while also collaborating as part of a team in complex situations
• Applicant must have received, or be willing to receive, the COVID-19 vaccine, and be fully vaccinated (established 2 weeks following final dose) by date of employment with Bain & Company to be considered for U.S. & Canada based jobs subject to required accommodation process.

Additional Skills
• Proficiency in one or more of SQL, R, Java, C/C+, Scala, Rust, Go, Julia
• Experience using big data technologies and distributed computing engines, eg HDFS, Spark, Kafka, Cassandra, Solr, Dask

About Us:

Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future.

Across 64 cities in 39 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a gold rating from EcoVadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 2% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.
Apply Here
For Remote Director, Machine Learning Engineering roles, visit Remote Director, Machine Learning Engineering Roles


Data Engineer at Motion Recruitment

Location: Los Angeles

Job Description
This company is seeking a full time remote/hybrid Senior Data Engineer out the closest office location they have available. This company owns a large portion of the entertainment industry and has a large global presence.

The project: The canidate will be responsible for building efficient data pipelines that populate their data lake, apply calculations and aggregations across the data set and load the results into SQL databases that serve both analytical and operational use cases. This role will be working closely with different engineering teams and product managers to meet data requirements of various initiatives in Ad Engineering.

Contract Duration: 6 Month Contract To Hire
Required Skills & Experience
• Aurora/Hive (databases)
• Spark (large-scale data processing)
• Good understanding of Airflow
• Docker (software packaging and delivery)
• AWS (development and hosting)
Desired Skills & Experience
• Airflow
• Ad Tech Platform experience
• REST, Lambda or ECS experience
• Versatile between Python, JavaScript/TypeScript
What You Will Be Doing
Tech Breakdown
• 100% Data engineer

Applicants must be currently authorized to work in the US on a full-time basis now and in the future. – provided by Dice
Apply Here
For Remote Data Engineer roles, visit Remote Data Engineer Roles


Lead Data Engineer at 9b

Location: Los Angeles

*InTulsa is partnering with 9b corporation to find candidates for this exciting role in Tulsa*

.Location: Tulsa, OK. This is a Hybrid position for those already in Tulsa, OK or willing to relocate to Tulsa, OK*

We are looking for an experienced Lead Data Engineer with expertise in Amazon Web Services (AWS) to join our growing team in Tulsa, OK About the job

We are looking for an experienced Lead Data Engineer with expertise in Amazon Web Services (AWS) to join our growing team in Tulsa, OK. In this job, you will get to assist various clients in focus areas such as:
• Criminal Justice Reform in Oklahoma
• Education in Oklahoma
• Nonprofits that serve Tulsa, OK, and Oklahoma City, OK
• Municipalities (cities and counties) across the United States
• Various startups in Upside Down Labs (like ThirdLine )

Since we do client work, you should expect to take on some tasks that do not fit within this exact job description, but in general you will be responsible for:
• Collaborating with clients to understand and prioritize their data reporting needs ?and developing user stories
• Designing and helping administer data architecture in AWS (Azure/GCP a plus)
• Design and lead teams to implement data pipelines
• Exploring clients’ data environment and assessing gaps to meet requirements
• Providing technical expertise on data storage, data mining, and data cleansing Who we’re looking for

9b does client work, so we are looking for team members who can listen well and quickly adapt to ever-evolving requirements. The ideal candidate is equally comfortable with autonomy and collaboration. The most valuable skill you can bring to our team is an ability and eagerness to learn. In addition to your technical expertise, we are looking for someone who cares about Tulsa and wants to help purpose-driven clients use their data to create impact in the community. Technical Skills
• 6+ years experience as a Data Engineer
• 6+ years of experience with SQL
• 6+ years of experience with Python
• 6+ years of experience with AWS
• 6+ years of experience with APIs Personal Skills
• Experience interacting with clients/stakeholders
• Strong interpersonal and teamwork skills
• An ability to adapt to new situations and challenges
• Excellent listening and communication skills Why work here

Our employees enjoy unlimited PTO, flexible work hours, and a remote-friendly work environment. Employees have access to 401(k) retirement, short-term and long-term disability, and life insurance benefits, plus a stipend for covering healthcare costs. In addition, at the Senior level, you are eligible for a quarterly performance bonus.

9b operates as a Holacracy, which is an organizational structure that emphasizes distributed authority instead of a command hierarchy. You will fill roles with defined accountabilities and engage with your team members to improve our company’s systems, processes, and policies. An autonomous yet collaborative person with creative problem-solving skills will thrive at 9b. About 9b

9b Corp provides data and analytics solutions to purpose-driven organizations. Our services are customized to each client and function to help our communities thrive. As a Certified B Corporation, we take great pride in our efforts to positively impact not only our team but the greater community around us. Learn more about us at 9bcorp.com .

All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage or any other protected classification, in accordance with applicable federal, state, and local laws. By completing this application, you are seeking to join a team of hardworking professionals dedicated to consistently delivering outstanding service to our customers and contributing to the financial success of the organization, its clients, and its employees. Equal access to programs, services, and employment is available to all qualified persons. Those applicants requiring accommodation to complete the application and/or interview process should contact a management representative.
Apply Here
For Remote Lead Data Engineer roles, visit Remote Lead Data Engineer Roles


The Tech Career Guru
We will be happy to hear your thoughts

Leave a reply

Tech Jobs Here