Full Stack Software Engineer - Teradata​/ETL​/DataStage

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

Enterprise Technology plays a critical part in shaping the future of mobility. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people's lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

Enterprise Technology plays a critical part in shaping the future of mobility. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people's lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite. Lead the design, development, and deployment of robust, scalable, and high-performance data pipelines on GCP. Drive the migration of on-premise and legacy data processes to native GCP services. Implement and manage CI/CD pipelines using Tekton for automated data pipeline deployments and testing.

Utilize Terraform to provision and manage GCP infrastructure as code, ensuring consistency and repeatability. Manage source code, collaborate on development, and enforce best practices using Git Hub. Work extensively with GCP services such as Big Query, Dataflow, IBM Cloud Pak, and Apache Airflow. Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions. Conduct thorough analysis of existing data systems, identify areas for improvement, and integrate diverse data sources.

Perform rigorous performance tuning and optimization of data pipelines and queries. Provide proactive production support, diagnosing and resolving complex technical challenges efficiently. Actively participate in code reviews, mentor junior engineers, and contribute to the evolution of engineering best practices and coding standards. Contribute to data modeling efforts, potentially using tools like Power Designer.

What you'll be able to do:

Full Stack Software Engineer - Teradata/ETL/Data Stage - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite. Lead the design, development, and deployment of robust, scalable, and high-performance data pipelines on GCP.

Drive the migration of on-premise and legacy data processes to native GCP services. Implement and manage CI/CD pipelines using Tekton for automated data pipeline deployments and testing.

Utilize Terraform to provision and manage GCP infrastructure as code, ensuring consistency and repeatability. Manage source code, collaborate on development, and enforce best practices using Git Hub. Work extensively with GCP services such as Big Query, Dataflow, IBM Cloud Pak, and Apache Airflow. Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions. Conduct thorough analysis of existing data systems, identify areas for improvement, and integrate diverse data sources.

Perform rigorous performance tuning and optimization of data pipelines and queries. Provide proactive production support, diagnosing and resolving complex technical challenges efficiently. Actively participate in code reviews, mentor junior engineers, and contribute to the evolution of engineering best practices and coding standards. Contribute to data modeling efforts, potentially using tools like Power Designer.