Senior Yield Data Engineer for Analytics & BI

Lincoln Motor Company; Dearborn (MI); Hybrid; USD 115,000 - 193,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Parental leave and family care days

Tuition assistance

Vehicle discount program

Job summary

Ford Motor Company is seeking a Sr. Specialist focused on Yield Management GTM Data Engineering. You will design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data for BigQuery and other cloud platforms, and develop business-ready metrics for analytics and dashboards.

The role covers data engineering, BI, data science, and governance, with emphasis on data quality, security, and cross-functional collaboration. Hybrid work in Dearborn, MI.

Qualifications

• Requires 5+ years in data engineering/software engineering/full-stack data roles.
• Proficient in Python and SQL with hands-on Google BigQuery/Dataflow experience.
• Experience building standardized data marts and BI dashboards.
• Strong understanding of data governance, security, and privacy practices.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines for data ingestion and delivery.
• Develop curated business-ready metrics to support analytics, dashboards, and AI/ML models.
• Design and manage a curated data layer with consistent metrics and definitions.
• Create and maintain executive dashboards for insights.
• Implement a data catalog to improve data discoverability and lineage.

Skills

Python programming

SQL

Data modeling

Cross-functional collaboration

Data governance

Education

Bachelor's degree in computer science, engineering, information systems, or related field

Master’s degree (preferred)

Tools

Google BigQuery

Dataflow

Dataform

Looker

Power BI

Tableau

Dash

REST APIs

CI/CD pipelines

Airflow/Composer

Job description

Ford Motor Company is seeking a Sr. Specialist focused on Yield Management GTM Data Engineering. You will design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data for BigQuery and other cloud platforms, and develop business-ready metrics for analytics and dashboards.

The role covers data engineering, BI, data science, and governance, with emphasis on data quality, security, and cross-functional collaboration. Hybrid work in Dearborn, MI.