Full Stack Software Engineer at Ford Motor Company in Dearborn, MI

Summary: Ford Motor Company is transforming the future of mobility and is seeking a Full Stack Software Engineer to join their Connected Vehicle Data Team. In this role, you will build and maintain data pipelines, develop backend services and APIs, and ensure data quality and reliability to support the company's data-driven initiatives.

Responsibilities:
- 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)
- Build RESTful APIs and microservices to expose vehicle data securely and efficiently to internal applications and downstream enterprise systems
- Build and maintain lightweight, intuitive frontend interfaces (e.g., React) and dashboards to help stakeholders visualize and interact with complex telemetry data
- 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
- Implement data validation, automated testing, and monitoring (using Cloud Logging/Monitoring) to ensure high availability and accuracy of our data products
- Partner closely with Senior Data Engineers, Data Scientists, and Product Managers to understand data models and translate business needs into technical solutions

Required Qualifications:
- 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

Preferred Qualifications:
- 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)

Required Skills: Python, Java, SQL, ETL/ELT data pipelines, RESTful APIs, Microservices, React, Google Cloud Platform, BigQuery, Cloud Storage (GCS), Dataflow, Cloud Composer (Airflow), Cloud Run, Google Kubernetes Engine (GKE), Docker, Git, Spring Boot, Pub/Sub, Cloud SQL, Cloud Functions, CI/CD pipelines, GitHub Actions, Data modeling, Data warehousing, Drive to deliver results

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, Family building benefits including adoption and surrogacy expense reimbursement, Fertility treatments, 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., This position is hybrid., Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.