Jobs / Gen***
Senior Data Engineer
Gen*** · Austin, TX, United States
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Austin, TX, United States133,000-188,600 USD/yearlyHybrid
Remuneration
133,000-188,600 USD/yearly
Location
Austin, TX, United States
Visa sponsorship
Sponsors visa
Job summary
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].
Benefits
Compensation:The expected base compensation for this role is: $133,000 - $188,600.Actual base compensation within the identified range will vary based on factorsBonus Potential: An incentive pay program offers payouts based on company perforGM offers a variety of health and wellbeing benefit programs.Life insurance, paid vacation & holidays, tuition assistance programs, employeeGM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR INLI-CC1About GMWhy Join UsEvery day, we want every employee to feel they belong to one General Motors team
Qualifications
- 5+ years of relevant full-time experience; or equivalent knowledge
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent practical experience.
- Strong proficiency in Scala, Python, SQL, Spark, and Databricks, with production-quality software engineering practices.
- Strong experience building and supporting cloud-based ETL/ELT pipelines, data platforms, and pipeline orchestration patterns for both batch and streaming operations.
- Experience deploying machine learning models into production environments and supporting model development through operational release.
- Strong experience with Databricks jobs, workflows, repos, Unity Catalog, and MLflow-based experimentation and model lifecycle management.
- Experience building CI/CD pipelines with Git-based workflows, automated testing, and deployment of data or ML products.
- Strong troubleshooting, communication, and cross-functional collaboration
- Experience with DLT, structured streaming, Event Hub, Kafka, Scala, or Java in enterprise data pipeline environments.
- Experience with model governance, lineage, reproducibility, monitoring, validation checks, and operational observability.
- Experience designing resilient pipelines that can handle changing upstream data conditions, retraining needs, and production operations.
- Experience with manufacturing, industrial IoT, plant-floor data, quality, or manufacturing analytics use cases.
Skills
Communication
Degrees
AssociateDegree
Industry
AutomotiveInsuranceManufacturingMediaPublic-sector
Company size
EnterpriseSmb
Relocation
Yes