General Motors

Data Engineer

General Motors$138K — $206K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in relevant field or equivalent experience
  • 5+ years as a data engineer, ETL developer, or integration engineer
  • Hands-on experience with Databricks for data engineering
  • Strong SQL skills in Databricks
  • Proven experience with dimensional and medallion-style data models
  • Experience integrating data from enterprise applications
  • Familiarity with DataStage and application-to-application integration

Responsibilities

  • Design, build, and maintain data pipelines in Databricks
  • Develop end-to-end ETL/ELT workflows using Python, Spark, and SQL
  • Build and maintain Bronze, Silver, and Gold data products
  • Support integrations into Databricks and between enterprise applications
  • Implement data ingestion and transformation logic
  • Collaborate with teams to define technical solutions and data products
  • Apply data quality and validation practices to ensure data accuracy

Benefits

  • Medical, dental, and vision insurance
  • Health Savings Account and Flexible Spending Accounts
  • Retirement savings plans
  • Paid vacation and holidays
  • Tuition assistance programs
  • Employee assistance program
  • GM vehicle discounts
Full Job Description
Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Warren Global Technical Center, Mountain View Technical Center, or Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

The Role

This role will focus on designing, developing, and supporting Databricks-based pipelines, medallion-layer data products, and enterprise integrations that enable analytics, reporting, and AI use cases. The role also includes building and supporting data movement patterns both into Databricks and between enterprise applications, including solutions that leverage DataStage and related integration technologies.

You will partner closely with product owners, architects, data engineers, report and analytics teams, and source-system teams to define trusted data products, improve data quality and reliability, and deliver scalable solutions that support operational and executive decision-making.

What You'll Do
  • Design, build, and maintain scalable data pipelines in Databricks to ingest, transform, validate, and publish trusted data products for analytics, reporting, and AI use cases.
  • Develop and support end-to-end ETL/ELT workflows using Databricks notebooks, Python, Spark, and SQL, including orchestration, parameterization, error handling, restartability, and performance optimization.
  • Build and maintain Bronze, Silver, and Gold data products that are reusable, governed, and aligned to business and downstream consumption needs.
  • Build and support integrations both into Databricks and between enterprise applications, including legacy and modern integration patterns such as DataStage-based workflows.
  • Implement pipeline logic for ingestion, standardization, cleansing, enrichment, joins, aggregations, and publishing of curated data assets for downstream use.
  • Partner with product owners, architects, source-system teams, report and analytics teams, and data consumers to translate business needs into well-defined technical solutions and trusted data products.
  • Define and implement data transformations, semantic structures, and curated data assets that improve usability, consistency, downstream performance, and trust in the data.
  • Apply strong data quality, validation, reconciliation, and documentation practices to ensure data products are accurate, discoverable, reliable, and production-ready.
  • Use GitHub-based development practices for version control, code review, collaboration, and promotion of pipeline changes across environments.
  • Support secure and compliant data delivery by implementing access controls, permissions, and governance requirements in alignment with GM policies.
  • Monitor, troubleshoot, and improve pipeline health, runtime performance, cost efficiency, and operational stability across production data assets and integrations.
  • Help modernize legacy integrations and reporting patterns by standardizing and migrating solutions onto the enterprise data platform.
  • Contribute to team standards, reusable patterns, and best practices for notebooks, Python development, GitHub workflows, data engineering, integration design, data quality, and operational support.


Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Science, Engineering, or a related field; or equivalent experience.
  • 5+ years of experience as a data engineer, ETL developer, or integration engineer building production-grade data pipelines and data products.
  • Hands-on experience with Databricks for data engineering and analytics enablement, including:
    • Strong SQL skills in Databricks
    • Experience building and supporting ETL/ELT pipelines in Databricks
    • Experience developing pipelines using Python, notebooks, DataStage, and scalable data transformation patterns
    • Experience with workflow orchestration, dependency management, scheduling, monitoring, and operational support of production pipelines.
  • Proven experience designing and implementing dimensional, layered, or medallion-style data models for analytics and operational use cases.
  • Strong knowledge of data warehousing and ETL/ELT concepts, including how upstream design impacts downstream performance, usability, and trust in data products.
  • Experience integrating data from enterprise applications, especially operational platforms such as ServiceNow.
  • Familiarity with DataStage and application-to-application integration patterns.
  • Experience using GitHub for source control, branching, pull requests, collaboration, and release management of data engineering assets.
  • Demonstrated ability to implement data quality, metadata, documentation, and governance practices in production data environments.
  • Strong collaboration skills and a track record of working effectively in cross-functional teams (data engineers, architects, product owners, business partners, and report and analytics teams).
  • Strong problem-solving, communication, and ownership skills, with the ability to operate effectively in a fast-moving environment.


What Can Give You a Competitive Advantage (Preferred Qualifications)
  • Experience supporting analytics, dashboards, or executive reporting use cases.
  • Experience working with ServiceNow data, including ITSM, CMDB, HRSD, or related operational domains.
  • Experience with secure data delivery, access controls, and enterprise governance standards.
  • Experience with production support, observability, and operational reporting for data platforms.
  • Familiarity with data dictionaries, lineage, and data product documentation or publishing practices.
  • Familiarity with cloud data platform patterns, particularly Databricks Lakehouse environments.
  • Experience working in Agile or product-centric environments with iterative delivery and continuous feedback.


This job may be eligible for relocation benefits.

Compensation:
  • The expected base compensation for this role is: $138,700 - $206,950. Actual base compensation within the identified range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.


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About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

Stay Connected

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ

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