General Motors

Senior Data Engineer

General Motors • $125K — $191K *
Austin, TX 78745Hybrid
Enterprise Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, data engineering, or a related field, or equivalent experience.
  • 5+ years of professional experience in data engineering, software engineering, or related field.
  • Strong hands-on experience with Java or Python, SQL, and automated testing.
  • Experience designing and operating production data pipelines using technologies like Apache Flink or Apache Spark.
  • Experience with cloud-native development on Microsoft Azure and Kubernetes.
  • Knowledge of data contracts, observability, and privacy-aware data handling.
  • Demonstrated experience applying artificial intelligence and machine learning in a production setting.

Responsibilities

  • Design and develop production-grade data pipelines for connected-vehicle telemetry and diagnostics.
  • Build streaming applications to manage and publish event-driven data.
  • Develop data products using technologies like Apache Flink and Python.
  • Work with Azure services for data processing and management.
  • Design and maintain data schemas, APIs, and event models.
  • Apply AI and machine learning to enhance data engineering processes.
  • Automate infrastructure and delivery using modern CI/CD practices.

Benefits

  • Comprehensive health and wellbeing benefit programs including medical, dental, and vision options.
  • Retirement savings plan with contribution options.
  • Paid vacation and holidays for work-life balance.
  • Tuition assistance programs for continued learning.
  • Employee assistance program for personal support.
  • GM vehicle discounts for employees.
  • Potential relocation benefits for those moving for this role.
Full Job Description
Job Description

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

The Role

Vehicle Data Engineering is looking for a Senior Data Engineer to design, build, and operate data products that transform connected-vehicle signals into trusted insights, health information, and proactive customer experiences. This role will work across real-time streaming, cloud data platforms, APIs, analytics, and artificial intelligence to deliver secure, reliable, and explainable data capabilities at scale.

The ideal candidate is a hands-on technical leader who can move from architecture to production implementation, improve engineering standards, and partner effectively with product, software, vehicle, cloud, analytics, and data-governance teams.

What You'll Do

  • Design and develop production-grade batch and real-time data pipelines for connected-vehicle telemetry, trip and session data, diagnostic signals, and vehicle-health indicators.
  • Build streaming applications that ingest, enrich, validate, deduplicate, curate, and publish event-driven data for downstream services, notifications, reporting, and analytics.
  • Develop reliable data products using Apache Flink, Apache Spark Structured Streaming, Java, Python, and SQL.
  • Work with Azure services including Azure Kubernetes Service, Event Hubs, Azure Data Explorer, Azure Key Vault, Azure Databricks, Azure Monitor, and Application Insights.
  • Design and maintain data contracts, schemas, APIs, and event models using GraphQL, REST, gRPC, JSON, and cloud-event patterns.
  • Apply artificial intelligence and machine learning to data engineering problems such as anomaly detection, data-quality triage, predictive health signals, intelligent operations, and engineering productivity.
  • Build or integrate generative artificial intelligence capabilities, including large language model applications, embeddings, vector search, retrieval-augmented generation, agentic workflows, prompt engineering, evaluation, and safety guardrails.
  • Create automated tests, performance benchmarks, integration tests, and validation checks for high-volume data and event-driven systems.
  • Establish observability with OpenTelemetry, Datadog, Grafana, Prometheus, dashboards, monitors, service-level objectives, and actionable alerts.
  • Secure data in transit and at rest and apply privacy, consent, retention, lineage, access-control, and regional compliance requirements to vehicle and location data.
  • Automate infrastructure and delivery using Kubernetes, Helm, Argo CD, Terraform, continuous integration, continuous delivery, and infrastructure-as-code practices.
  • Participate in architecture reviews, code reviews, incident response, root-cause analysis, operational readiness, and on-call support as needed.
  • Mentor engineers, raise technical standards, document design decisions, and contribute to a culture of quality, ownership, and continuous improvement.

Your Skills & Abilities (Required Qualifications)

  • Bachelor's degree in computer science, computer engineering, data engineering, information systems, or a related technical field, or equivalent experience.
  • 5+ years of professional experience in data engineering, software engineering, distributed systems, or a related field.
  • Strong hands-on experience with Java or Python, SQL, object-oriented design, data structures, algorithms, and automated testing.
  • Experience designing and operating production data pipelines using Apache Flink, Apache Spark, Kafka, Azure Event Hubs, or comparable streaming technologies.
  • Experience with cloud-native development on Microsoft Azure and containerized workloads running on Kubernetes.
  • Experience with Databricks, Delta Lake, distributed data processing, data modeling, and performance optimization.
  • Experience designing APIs and event-driven systems using GraphQL, REST, gRPC, asynchronous HTTP clients, or equivalent technologies.
  • Experience with schema evolution, data contracts, data-quality validation, lineage, observability, and privacy-aware data handling.
  • Demonstrated experience applying machine learning, artificial intelligence, or generative artificial intelligence in a production engineering, analytics, or data-product environment.
  • Working knowledge of large language models, embeddings, vector databases or vector search, retrieval-augmented generation, prompt design, model evaluation, and responsible artificial intelligence practices.
  • Ability to troubleshoot complex distributed systems and communicate technical decisions clearly to both technical and nontechnical audiences.
  • Ability to work effectively in a collaborative, agile, cross-functional environment.

What Can Give You a Competitive Advantage (Preferred Qualifications)

  • Master's degree in computer science, data science, artificial intelligence, machine learning, or a related field.
  • Experience building multi-agent or agentic systems for data analysis, data operations, engineering support, or customer-facing insights.
  • Experience with Databricks artificial intelligence and machine learning capabilities, MLflow, model registries, feature stores, vector search, or model-serving platforms.
  • Experience designing retrieval-augmented generation systems, including chunking, embedding strategies, hybrid retrieval, reranking, grounding, citation, offline evaluation, online evaluation, and hallucination mitigation.
  • Experience applying generative artificial intelligence to data observability, incident summarization, root-cause analysis, schema mapping, documentation generation, or pipeline remediation.
  • Experience with time-series data, vehicle telemetry, geospatial data, diagnostics, predictive maintenance, anomaly detection, or other high-volume sensor data.
  • Experience with Azure OpenAI Service or comparable large language model platforms and with securing enterprise AI workloads.
  • Experience with Python data and machine-learning libraries such as pandas, NumPy, scikit-learn, PyTorch, or equivalent tools.
  • Experience with Terraform, Helm, Argo CD, GitHub Actions, Azure DevOps, or comparable DevOps platforms.
  • Experience with OpenTelemetry, Datadog, Grafana, Prometheus, distributed tracing, service-level objectives, and production reliability engineering.
  • Knowledge of data catalogs, governance platforms, consent management, privacy engineering, and regional data-retention requirements.
  • Strong technical leadership, mentoring, influencing, documentation, and cross-functional communication skills.
  • Demonstrated initiative, sound judgment, accountability, curiosity, and ability to simplify complex problems.

This job may be eligible for relocation benefits.

Compensation:
  • The expected base compensation for this role is: $125,000 - $191,500. 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

Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

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Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Motors. Embark on a journey of growth, innovation, and leadership at General Motors. Shape your future in an environment that fosters diversity, learning, and the pursuit of excellence. Join us and redefine the roads of tomorrow.
Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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