Data Engineer
Today• Austin, TX
Warren, MI
Description
The Role:
Join a team of builders shaping enterprise-grade data products and platforms that power analytics, customer experiences, and operational insights at scale.
You will design, build, and operate reliable batch and streaming data pipelines, partnering closely with product, platform, and governance teams to deliver high-quality, secure, and discoverable data.
What You'll Do (Responsibilities):
- Architect and implement scalable ETL/ELT pipelines and services using modern data platforms and best practices.
- Build streaming and micro-batch data flows, including schema evolution, late/out-of-order events handling, and exactly-once delivery semantics where feasible.
- Model data for analytics and ML using layered "bronze/silver/gold" patterns, with clear data contracts, SLAs, and lineage.
- Embed observability (logging, metrics, tracing), data quality checks, and cost/performance optimization into everything you ship.
- Automate testing and deployments with CI/CD.
- Collaborate with domain SMEs and data product owners to define requirements, acceptance criteria, and success metrics.
- Operate what you build: participate in on-call/incident response rotations and drive RCA and preventative engineering.
How You'll Work:
- Product mindset: outcome-driven, iterative delivery, and clear metrics.
- Quality first: automated tests, reproducible pipelines, and continuous improvement.
- Security and compliance by design: least-privilege access, data masking, and auditability.
- Collaboration: partner across platforms, governance, and product teams; communicate clearly with technical and non-technical stakeholders.
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Tools you May Use:
- Languages: Python, SQL
- Compute and pipelines: Apache Spark, orchestration/workflows (e.g., Databricks Workflows/Airflow), containerized jobs where needed
- Storage/metadata: Parquet; lakehouse tables (e.g., Delta/Iceberg); catalog/lineage tools
- DevOps: Git, CI/CD, secrets management, observability (logs/metrics/traces)
Your Skills & Abilities (Required Qualifications):
- Bachelor's in Computer Science, Engineering, or equivalent experience will be considered in lieu of degree
- 5+ years building data pipelines at scale with a modern data stack
- Strong proficiency in Python and SQL, plus performance tuning of both
- Hands-on experience with distributed compute (e.g., Apache Spark) and lakehouse/warehouse paradigms
- Data modeling for analytics (dimensional/medallion), data contracts, and schema management
- CI/CD (Git-based workflows) and infrastructure-as-code (e.g., Terraform) in a cloud environment
- Practical knowledge of data security, privacy, and access control concepts
What Will Give You A Competitive Edge (Preferred Qualifications):
- Streaming pipelines with technologies such as Kafka (or similar), including stateful processing and backpressure management
- Lakehouse technologies (e.g., Delta Lake/Iceberg/Hudi), file formats (Parquet/ORC), and table optimization (Z-ordering, clustering)
- Data governance and cataloging (e.g., Atlan/Unity Catalog/Collibra/Immuta) and automated lineage
- Data quality frameworks (e.g., Great Expectations) and SLAs/SLOs for data products
- Experience with Databricks or equivalent cloud data platforms and workload orchestration
- Domain experience with IoT/telematics, energy, or mobility data is a plus
#LI-DH2
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
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Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
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Client-provided location(s): Austin, TX, Warren, MI
Job ID: General_Motors-JR-202521349
Employment Type: FULL_TIME
Posted: 2025-11-18T00:16:36
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- HSA
- HSA With Employer Contribution
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Adoption Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Happy Hours
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(K)
- 401(K) With Company Matching
- Performance Bonus
- Relocation Assistance
- Stock Purchase Program
Professional Development
- Tuition Reimbursement
- Learning and Development Stipend
- Promote From Within
- Mentor Program
- Shadowing Opportunities
- Access to Online Courses
- Lunch and Learns
- Internship Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Woman founded/led
- Employee Resource Groups (ERG)
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