Senior Data Engineer (Geospatial)

Job Description

At GM, we’re on a mission to transform the way the world moves. Our Data Engineering team sits at the heart of this mission, building the pipelines and platforms that power next-generation mobility and geospatial services. We have an exciting opportunity for a seasoned Senior Data Engineer who thrives on solving complex challenges, designing scalable solutions, and pushing the boundaries of what’s possible with geospatial and automotive datasets.

In this role, you’ll have the opportunity to design and deliver data pipelines at scale, partner with data engineers and software engineers to bring AI/ML models into production, and lead innovation in big data workflows.

What Will You Do:

• Design, build, and scale robust data pipelines for large-scale geospatial and automotive datasets.
• Partner with cross-functional teams to prototype and productionize statistical models and AI/ML solutions.
• Optimize workflows for speed, reliability, and scalability across modern big data platforms.
• Evaluate and adopt emerging technologies to push the boundaries of geospatial data processing.
• Translate research prototypes into production-ready systems deployed on leading cloud platforms.
• Champion data quality, validation, and governance at every stage of the pipeline.
• Build resilient infrastructure for data ingestion, transformation, and storage.
• Mentor junior engineers and foster a culture of collaboration, learning, and innovation

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related discipline.
• 7+ years’ experience in software engineering with a strong focus on data engineering.
• Proven expertise in Java and Python for data pipeline development.
• Deep knowledge of geospatial data formats (e.g. GeoJSON, Shapefiles) and tools (e.g. ArcGIS, PostGIS).
• Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also considered).
• Strong understanding of relational & non-relational databases, schema design, and data modeling.
• Familiarity with statistical models, feature engineering, and predictive analytics.
• Experience with CI/CD pipelines and DevOps practices.
• Strong analytical, problem-solving, and teamwork skills.

Desirable

• Experience with mapping platforms (HERE, Mapbox, ArcGIS, OpenStreetMap, Google Maps).
• Understanding of vehicle telemetry, mobility data, or location-based services.
• Background in real-time data processing (Kafka, Spark Streaming, Pulsar, Flink).
• Contributions to open-source geospatial or data engineering projects.

Hybrid
This role is categorized as Hybrid. This means the successful candidate is expected to report to the Limerick office 3 times per week, at minimum.

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.

Non-Discrimination and Equal Employment Opportunities

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.

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

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.