Data Engineer
Ford Motor1 month ago
Naucalpan de Juárez, MexicoSenior
Responsibilities
- Design, build, test, and operate ingestion and processing pipelines from plant OT sources into Google Cloud Platform.
- Build batch and streaming pipelines using Pub/Sub, Dataflow, Cloud Run, Cloud Functions, Cloud Composer, BigQuery, and Cloud SQL/PostgreSQL.
- Handle high-volume image and video data through object-storage design, lifecycle and cost management, frame sampling, and metadata indexing.
- Own production pipeline monitoring, alerting, backfills, recovery, cost management, and incident response.
- Design common data models, semantic layers, plant and asset hierarchies, data quality controls, lineage, retention, archiving, and purging approaches.
- Prepare reproducible training and inference datasets, support labeling and annotation workflows, and partner with data scientists on MLOps and model monitoring.
- Apply data governance, privacy, cybersecurity, identity, and access requirements across OT and IT boundaries.
- Define reusable ingestion and plant-onboarding patterns, data engineering standards, documentation, testing, naming, lineage, and runbook expectations.
- Lead technical design for significant data platform changes and mentor engineers through pairing, reviews, coaching, and knowledge transfer.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related technical field, or equivalent demonstrable experience.
- Typically 5+ years of hands-on data engineering experience designing, building, and operating production data pipelines and platforms at scale.
- Advanced SQL and strong Python skills.
- Practical experience with GCP, including BigQuery, Pub/Sub, Dataflow, Cloud SQL, Cloud Storage, and Composer.
- Experience with batch and streaming data processing, orchestration, data modeling, data quality, and validation.
- Software engineering fundamentals including version control, automated testing, CI/CD with GitHub Actions, and infrastructure as code.
- Experience mentoring and developing other engineers and leading complex technical work end to end.
- Ability to work with industrial data, communicate data trade-offs, and collaborate with technical, product, plant, and non-technical stakeholders.
- Fluent professional English.
- Preferred experience includes time-series, sensor, waveform, image, video, industrial OT, PLC, OPC-UA, MQTT, Modbus, historian, SCADA, energy-metering, MLOps, data governance, privacy, manufacturing, and automotive systems.
- Preferred familiarity with Vertex AI, Keras/TensorFlow, feature stores, model monitoring, dbt, Dataform, Terraform, Maximo, MES, and GDPS 2.0.
- Spanish or German language skills are preferred.
Benefits
- The role is based 4 days per week onsite at GTBC Ford México in Naucalpan, México.
- Periodic international travel to Europe and the United States is required, with occasional travel to understand plant data sources.
- The role offers senior individual-contributor scope with indirect leadership, technical ownership, and mentorship responsibilities.
- Ford states that it is an equal opportunity employer committed to a diverse and inclusive workplace.
Tech Stack
Categories
Data Engineering
About Ford Motor
Ford Motor Company designs, manufactures, and sells cars, trucks, SUVs, and commercial vehicles for consumers and businesses, and provides financing through Ford Credit. A public company headquartered in Dearborn, Michigan and listed on the NYSE, it operates globally under the Ford and Lincoln brands, including electric and connected vehicles such as the F‑150 Lightning and Mustang Mach‑E. Founded in 1903, it also offers software-driven fleet, mobility, and aftersales services.