Sr. Specialist, Yield Management - GTM Data Engineer

Job-:
Global Data Insight & Analytics

Location:

Dearborn, MI, United States Workplace:
Hybrid

Schedule:

Full time Posted:
Preferred Degree:
Master of Science Sr. Specialist, Yield Management - GTM  Data Engineer We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Our Marketing, Sales & Service organization advances the Ford reputation as a visionary vehicle and mobility services company and helps deliver a trusted customer experience. Use your marketing, sales and service expertise to turn data-driven insights into innovative solutions that enhance sales and customer loyalty. Join us and be the eyes, ears and voice of  this position...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.

Qualifications You'll have...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, Dataflow3 years of Strong hands-on experience with Google Big Query, 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 Dash2+ 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).You may…