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# Senior Data Engineer, Integrated Services Data Warehouse (ISDW)

- **Company:** Ford Motor Company
- **Location:** Dearborn, MI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Big Data, BigQuery, Continuous Integration, Information Engineering, Data Governance, Data Warehousing, Distributed Data Store, Distributed Systems, Memory Management, Data Flow Control, Github, Cloudera, Software Engineering, Systems Integration, Google Cloud, Data Ingestion, Large Language Models, Pyspark, Gitlab-ci, Information Technology, Virtual Agents, Stream Processing, Jenkins
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-data-engineer-integrated-services-data-warehouse-isdw-dearborn-mi-usa-58894255

## About the Role

_ advance CI/CD practices for data engineering pipelines * Collaborate with product, data science, and software teams to support subscription metrics and analytics * Mentor and guide junior engineers in technical best practices * Champion data governance, security, and quality across platforms Tasks * Bachelor's degree in Computer Science, IT, Software Engineering, or closely related field * 7+ years building enterprise-grade big data platforms and distributed data systems * 6+ years production-grade PySpark expertise, with optimization and memory management skills * 3+ years on GCP with deep knowledge of BigQuery, Dataflow/DataProc, Spanner, and Airflow/Astronomer * Hands-on experience with Agentic AI solutions, LLM integration, and cognitive search pipelines * CI/CD experience with GitHub Actions, GitLab CI, Tekton, Jenkins, or similar * Domain familiarity with integrated services and subscriptions platforms (billing, entitlements, usage-based models) Key requirements * medical, dental,
vision coverage * flexible family care days * paid parental leave * tuition assistance * vehicle discount program * paid holidays

## Description

Experteer Overview In this Senior Data Engineer role, you will design, build, and scale Ford's next-gen big data infrastructure on Google Cloud Platform while integrating Agentic AI systems. You'll enable real-time data streaming, advanced analytics, and automated decision pipelines that support Ford's subscription and services products. You'll work with cross-functional teams to translate data into timely, evidence-based insights that shape business decisions. This opportunity offers a chance to tackle high-performance, distributed architectures at scale and to influence the future of mobility technology. You will join a mission-driven team focused on turning data into strategic action. Compensation / Benefits * Architect, construct, and optimize end-to-end data ingestion, processing, and distribution pipelines * Leverage PySpark and Google Cloud technologies for terabyte-to-petabyte datasets * Design, deploy, and maintain Agentic AI solutions on enterprise data assets * Establish and advance CI/CD practices for data engineering pipelines * Collaborate with product, data science, and software teams to support subscription metrics and analytics * Mentor and guide junior engineers in technical best practices * Champion data governance, security, and quality across platforms Tasks * Bachelor's degree in Computer Science, IT, Software Engineering, or closely related field * 7+ years building enterprise-grade big data platforms and distributed data systems * 6+ years production-grade PySpark expertise, with optimization and memory management skills * 3+ years on GCP with deep knowledge of BigQuery, Dataflow/DataProc, Spanner, and Airflow/Astronomer * Hands-on experience with Agentic AI solutions, LLM integration, and cognitive search pipelines * CI/CD experience with GitHub Actions, GitLab CI, Tekton, Jenkins, or similar * Domain familiarity with integrated services and subscriptions platforms (billing, entitlements, usage-based models) Key requirements * medical, dental, vision coverage * flexible family care days * paid parental leave * tuition assistance * vehicle discount program * paid holidays


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