Data Engineer

Ford; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Ford Pro is seeking a Full Stack Data Engineer to design, build, and maintain end-to-end data solutions across ingestion, transformation, and analytics layers. You will develop RESTful/GraphQL APIs and a semantic data layer to deliver reliable, business-friendly metrics.

This role emphasizes data governance, security, and collaboration with analytics and product teams. The ideal candidate has extensive experience with Python, SQL, and cloud data platforms, preferably Google Cloud, and will

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience in data engineering, software engineering, or a full-stack data role.
• 3+ years in Python, Kotlin, and Java.
• 3+ years with Google BigQuery (modeling, optimization, cost management).
• 3+ years building REST and/or GraphQL APIs using FastAPI, Flask, Node.js/Express, or similar.
• 3 years building a semantic layer (dbt, LookML/Looker, Cube.js, AtScale).
• 2+ years with SQL and structured data.

Responsibilities

• Design, build, and maintain end-to-end data solutions from ingestion to analytics-ready layers.
• Create scalable ETL/ELT pipelines ingesting data into BigQuery and cloud platforms.
• Develop RESTful and GraphQL APIs for internal apps, dashboards, and external consumers.
• Design a semantic data layer to standardize business metrics and definitions.
• Maintain a data catalog to improve discovery, lineage, and metadata management.
• Optimize BigQuery performance with partitioning, clustering, and cost management.
• Implement data quality checks, monitoring, and alerting for reliability.
• Collaborate with analytics, product, and engineering to translate requirements into models and API contracts.
• Enforce data governance and security controls (PII, RBAC, encryption).

Skills

Python

Kotlin

Java

Google BigQuery

API design

Data governance

SQL

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field

Tools

FastAPI

Flask

Node.js/Express

dbt

LookML/Looker

Cube.js

Job description

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., Ford Pro is a new global business within Ford committed to commercial customer productivity. Ford Pro delivers a work-ready suite of vehicles, accessories and services for virtually every vocation, backed by technology and engineered for uptime. A true one-stop shop, we offer a full portfolio of electrified and internal combustion vehicles designed to integrate seamlessly with the Ford Pro ecosystem, helping customers' businesses thrive today and into the new era of electrification., Ford Pro Intelligence provides telematics and fleet management services to our commercial and fleet customers. Ford Pro products and services serve as a foundational building block to Ford's continued leadership and innovation in fleet/commercial vehicle market segments. Fleets are our future, representing a significant portion of vehicle sales and continual expected growth.

In this position... This role sits at the intersection of data engineering, backend API development, and data governance, and is ideal for someone who enjoys owning a problem from database to endpoint to business-ready metric. You'll work closely with data analysts, application developers, and business stakeholders to ensure data is accessible, reliable, well-documented, and easy to consume across the organization.

What you’ll do...

• We are looking for a Full Stack Data Engineer to design, build, and maintain end-to-end data solutions - from raw data ingestion and API development through to curated semantic layers that power analytics and business decision‑making.
• 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 RESTful/GraphQL APIs to expose data and services to internal applications, dashboards, and third‑party consumers.
• Design and manage a semantic data layer (e.g., LookML, dbt semantic models, Cube.js, or similar) that translates raw data into consistent, business‑friendly metrics and definitions.
• Implement and maintain a data catalog / knowledge catalog (e.g., Google Data Catalog, Collibra, Alation, Atlan) 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, engineering) to gather requirements and translate them into scalable data models and API contracts.
• 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 APIs).
• Participate in code reviews, architecture discussions, and CI/CD pipeline development for data and application deployments.

You’ll have...

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field 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, Kotlin, and Java
• 3 years of Strong hands‑on experience with Google BigQuery (data modeling, query optimization, cost management, scheduled queries).
• 3+ years of Proven experience designing and building APIs (REST and/or GraphQL) using frameworks such as FastAPI, Flask, Node.js/Express, or similar.
• 3 years of practical experience building and maintaining a semantic layer (e.g., dbt, LookML/Looker, Cube.js, AtScale) to standardize business metrics.
• 2+ years of experience in roles requiring a Strong understanding of testing, monitoring, reliability, and maintainable software design
• 2+ years comfortable working years of experience with SQL and structured data

Even better, you may have...

• Master's degree in Computer Science, Engineering, Information Systems, or a related field
• Document data flows, API specifications, semantic definitions, and system architecture for internal and cross‑team use.
• Experience working with a data catalog / metadata management tool (e.g., Google Data Catalog, Collibra, Alation, Atlan, Amundsen) 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 unde