Full Stack Software Engineer

FordDearborn, MI
$85,400 - $192,900Hybrid

About The Position

Join the Connected Vehicle Data Team within Ford’s GDIA (Global Data Insight & Analytics) organization to build and transform how we leverage vehicle data across the enterprise. Our team sits at the intersection of massive-scale data engineering, cloud infrastructure, and internal data tools. We build robust data pipelines, scalable backend services, and intuitive data-driven applications that turn complex, high-volume connected vehicle datasets into actionable insights for our business and customers. In this role, you will not only build the data assets but also embody the Ford OS Behaviors—acting as a Builder who is curious and solves problems, Playing to Win by delivering high-quality data solutions, and Delivering the Promise to our business partners by ensuring data reliability and accessibility.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • 1 to 3 years of professional experience in Software Engineering or Data Engineering (or equivalent strong internship/co-op experience).
  • Strong programming skills in Python or Java for data processing and backend development.
  • Proficiency in SQL with a solid understanding of relational databases, data modeling, and data warehousing concepts.
  • Experience building and managing data pipelines (ETL/ELT) and integrating data from various sources.
  • Basic experience developing web applications or APIs (frontend frameworks like React are a plus, but backend/data focus is primary).
  • Understanding of containerization using Docker and version control using Git.
  • A strong alignment with Ford OS Behaviors, demonstrating curiosity, teamwork, and a drive to deliver results.

Nice To Haves

  • Strong proficiency in Java programming, with hands-on experience building scalable backend microservices and RESTful APIs using the Spring Boot framework.
  • AI Engineering experience or exposure to building intelligent applications, including prompt/context/harness engineering, various knowledge bases, and validation methods.
  • Hands-on experience with Google Cloud Platform (GCP), specifically with data tools like BigQuery, Cloud SQL, Pub/Sub, and workflow orchestration (e.g., Apache Airflow).
  • Experience deploying applications to Cloud Run, Cloud Functions, or GKE.
  • Basic understanding of continuous integration/continuous delivery (CI/CD) pipelines (e.g., GitHub Actions).

Responsibilities

  • Build robust data pipelines (Be a Builder): Design, develop, and maintain scalable ETL/ELT pipelines to ingest, process, and transform large volumes of connected vehicle data using Python, Java, and SQL strictly on Google Cloud Platform (GCP).
  • Develop backend services & APIs: Build RESTful APIs and microservices to expose vehicle data securely and efficiently to internal applications and downstream enterprise systems.
  • Develop internal data tools: Build and maintain lightweight, intuitive frontend interfaces (e.g., React) and dashboards to help stakeholders visualize and interact with complex telemetry data.
  • Leverage GCP Data Infrastructure: Work extensively with GCP data services such as BigQuery, Cloud Storage (GCS), Dataflow, or Cloud Composer (Airflow), deploying containerized workloads to Cloud Run or GKE.
  • Ensure data quality & reliability (Deliver the Promise): Implement data validation, automated testing, and monitoring (using Cloud Logging/Monitoring) to ensure high availability and accuracy of our data products.
  • Collaborate and innovate (Create Must-Have Products): Partner closely with Senior Data Engineers, Data Scientists, and Product Managers to understand data models and translate business needs into technical solutions.

Benefits

  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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.
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