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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Specialist, Yield Management - GTM Data Engineer - **Company:** Ford Motor Company - **Location:** Dearborn, MI, United States - **Experience:** Expert - **Salary:** $115,000.0 - $192,900.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Adaptable Database Systems, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, BigQuery, Cloud Storage, Cluster Analysis, Code Review, Information Systems, Computer Programming, Continuous Integration, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mart, Data Systems, Data Visualization, Database Queries, Dimensional Modeling, Document-Oriented Databases, Data Flow Control, Python (Programming Language), Machine Learning, Meta-Data Management, Software Maintenance, Query Optimization, Raw Data, Power BI, Cloud Services, Software Deployment, Software Engineering, SQL Databases, Systems Architecture, Tableau (Software), Workflow Management Systems, Openapi, Google Cloud, Backend, Git, Data Layers, Information Technology, Data Lineage, Google Cloud Functions, Star Schema, Google Bigquery, Looker Analytics, Software Version Control, Data Pipelines - **Published:** October 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0f50e110d31ed36a ## About the Role Bachelor's degree in computer science, Engineering, Information Systems, or a related field or Foreign equivalency degree or equivalent combination of relevant education and experience. * 5+ years of experience in data engineering, software engineering, or a full-stack data role. * 3+ years in roles demonstrating Strong programming skills in Python, SQL, Bigquery, Dataflow * 3 years of Strong hands-on experience with Google BigQuery, Dataform (data modeling, query optimization, cost management, scheduled queries). * 3 years of practical experience building and maintaining a data mart to standardize business metrics. * 2+ years of experience in utilizing business intelligence tools like Looker, Power BI, Tableau or custom apps built using Dash * 2+ years of proven experience designing and building ingestion routines based on APIs (REST). * 2+ years of experience in roles requiring a Strong understanding of testing, monitoring, reliability, and maintainable software design Even better, you may have... * Master's degree in Computer Science, Engineering, Information Systems, or a related field * Experience using AI to build/maintain code/pipelines * Document data flows, API specifications, metric definitions, and system architecture for internal and cross-team use. * Experience working with a data catalog / metadata management tool (e.g., Google Data Catalog) including lineage, tagging, and governance workflows. * Strong SQL skills and experience with Python for data pipeline development and automation. * Experience with cloud platforms, preferably Google Cloud Platform (GCP) (Cloud Storage, Cloud Functions, Dataflow, Pub/Sub, Composer/Airflow). * Solid understanding of data modeling concepts (dimensional modeling, star/snowflake schemas, normalization). * Familiarity with version control (Git) and CI/CD practices for data and application deployments. * Strong understanding of data governance, security, and privacy best practices. * Experience with orchestration tools such as Apache Airflow / Cloud Composer. * Experience in the automotive, manufacturing, or connected vehicle data domain (a plus, given Ford's business context). * Knowledge of BI/visualization tools (Looker, Tableau, Power BI). ## Description This role sits at the intersection of data engineering, business intelligence, data science, and data governance, and is ideal for someone who enjoys solving a business problem from raw datasets to endpoint to business-ready metric. You'll work closely with data analysts, data scientists, and business stakeholders to ensure data and metrics are well-defined, accessible, reliable, well-documented, and easy to consume across the organization. We are looking for a Data Engineer to design, build, and maintain end-to-end data solutions - from raw data ingestion through to curated metrics that power advanced analytics, business intelligence dashboards and business decision-making. What you'll do... * Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources into Google BigQuery and other cloud data platforms. * Develop, document, and maintain curated business-ready metrics to expose data and metrics to internal advanced analytics AI/ML models, dashboards, and variety of consumers. * Design and manage a curated data layer that translates raw data into consistent, business-friendly metrics and definitions. * Design, build and manage business friendly dashboards that provide valuable business insights to the executive leadership Implement and maintain a data catalog / knowledge catalog (e.g., Google Data * Catalog) to improve data discoverability, lineage tracking, and metadata management. * Optimize BigQuery performance through partitioning, clustering, query tuning, and cost-management best practices. * Build data quality checks, monitoring, and alerting to ensure pipeline reliability and data trustworthiness. * Collaborate with cross-functional teams (analytics, product, business) to gather requirements and translate them into scalable data models, metrics * Enforce data governance, security, and access control standards (PII handling, role-based access, encryption). * Write clean, well-tested, and maintainable code (Python/SQL, and backend frameworks for API based ingestion routines). * Create and maintain CI/CD pipelines for seamless deployments and change reviews across the code base. Participate in code reviews, architecture discussions, and CI/CD pipeline development for data and application deployments. *