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Full Stack Software Engineer – Teradata, ETL, DataStage
Ford Motor CompanyFull Stack Software Engineer developing data solutions leveraging GCP and ETL processes at Ford Motor Company. Collaborating with teams to enhance data pipelines and improve performance.
Posted 5/27/2026full-timeDearborn • Missouri • 🇺🇸 United StatesSeniorLead💰 $140,629 - $178,448 per yearWebsite
Tech Stack
Tools & technologiesAirflowApacheBigQueryETLGoogle Cloud PlatformLinuxShell ScriptingSQLTerraformUnix
About the role
Key responsibilities & impact- 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 GitHub.
- Work extensively with GCP services such as Big Query, Dataflow, IBM CloudPak, 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.
Requirements
What you’ll need- Bachelor’s degree or foreign equivalent in Computer Science or Information Technology and 7 years of progressive, post-baccalaureate experience in the job offered or a related occupation.
- 5 years of experience with each of the following skills is required: 1. Using Teradata ecosystem, including BTEQ, FastLoad, MultiLoad, and Tpump. 2. Designing and building ETL pipelines and data warehouses using PL/SQL. 3. Understanding of data warehousing concepts, including dimensional modelling (star/snowflake schemas) and data integrity. 4. Using SQL with performance tuning complex queries. 5. UNIX/Linux environments and shell scripting. 6. Data modelling and designing logical and physical database schemas.
- 3 years of experience with each of the following skills is required: 1. Developing complex ETL workflows with IBM DataStage. 2. Systems analysis, production support, and root cause analysis for data-related issues. 3. Creating and executing test plans for data quality and reconciliation.
- 1 year of experience with each of the following skills is required: 1. Understanding of data governance principles, including coding standards, code review processes, and metadata management. 2. Working with sensitive data (PPI) and understanding the associated security and handling requirements.
Benefits
Comp & perks- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year's Day
- Paid time off and the option to purchase additional vacation time.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data pipelinesGCPCI/CDTektonTerraformGitHubBig QueryDataflowApache AirflowPL/SQL
Soft Skills
collaborationmentoringproblem-solvinganalysiscommunicationleadershipperformance tuningroot cause analysisbest practicestechnical solutions
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Information Technology