Jobs / Gen***
Data Engineer
Gen*** · Warren, MI, United States
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Warren, MI, United States138,700-206,950 USD/yearlyHybrid
Remuneration
138,700-206,950 USD/yearly
Location
Warren, MI, 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 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].
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 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
- 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.
- 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
- 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.
Skills
Communication
Degrees
AssociateDegree
Industry
InsurancePublic-sector
Company size
EnterpriseSmb
Relocation
Yes