Jobs / Gen***
Staff Data Engineer — AI & Cloud
Gen*** · Austin, TX, United States
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Austin, TX, United States160,000-211,950 USD/yearlyHybrid
Remuneration
160,000-211,950 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: $160,000 - $211,950.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
- into technical roadmaps
- Mentor engineers and raise technical capability across the organization in areas such as distributed data processing, cloud engineering, AI-enablement, and platform reliability.
- Identify and integrate emerging
- Bachelor’s degree in Computer Science, Information Systems, Data Science, Business Analytics, Engineering, or a related field; or equivalent experience.
- 8–10+ years in data engineering or related technical leadership roles
- Strong expertise in Python, SQL, Scala, or R with a focus on large-scale data processing, optimization, and performance tuning.
- Extensive experience with big data frameworks such as Azure Databricks, Apache Spark, Kafka, or Hadoop for large-scale data processing.
- Deep knowledge of cloud platforms and data services such as Azure, AWS, or GCP.
- Strong command of data modeling, relational and NoSQL databases, and scalable storage design.
- Strong understanding of data governance, privacy, and security controls for enterprise data systems.
- Demonstrated ability to lead large-scale technical initiatives and align engineering outcomes to broader business goals.
- Strategic thinking with the ability to align technical solutions to GM business priorities.
Skills
CommunicationLeadership
Degrees
AssociateDegree
Industry
AutomotiveInsuranceLogisticsManufacturingPublic-sector
Company size
Enterprise
Relocation
Yes