Senior Full Stack Software Engineer

We are hiring a

Senior Full Stack Software Engineer

. This is a high-visibility engineering role at a major OEM, turning data governance, data management, and data quality frameworks into production-grade software across a connected vehicle data ecosystem — from front-end interfaces to backend services, data pipelines, and cloud architecture.

Engagement details:

• Location: Auburn Hills, US
• Working model: On-site
• Start date: ASAP
• Employment type: Long term assignment through Hashlist or Freelance

Responsibilities:

• Design, develop, and maintain full-stack applications supporting Data Governance, Data Management, and Data Quality use cases (data privacy portal, data catalogue interfaces, DSAR/SAR extraction tooling, data quality dashboards)
• Build and maintain backend services and APIs (Python, Scala/Spark, Flask) integrated with Databricks (Unity Catalog, Lakebase/Postgres, Delta Lake) and AWS (Lambda, S3, SES, SQS)
• Develop front-end interfaces and internal tools (React, Streamlit) that make governance, cataloguing, and data quality processes accessible to business and technical users
• Contribute to the technical architecture of these products, ensuring scalability, security, and maintainability across environments
• Translate functional requirements from governance, data management, and data quality teams into technical specifications and working software
• Implement data pipelines for DSAR/Data Act extraction, PII masking, VIN-based filtering, and automated multilingual notification workflows
• Ensure engineering best practices — code quality, testing, CI/CD, documentation, and secure handling of sensitive and personal data
• Provide technical support and troubleshooting for deployed applications, including performance, connectivity, and authentication issues

Qualifications:

• 7+ years of professional software engineering experience, including full-stack development
• Strong backend development skills (Python required; Scala/Spark a plus) and front-end frameworks (React or equivalent)
• Hands-on experience with Databricks (Unity Catalog, Delta Lake, notebooks) or equivalent cloud data platforms
• Experience with cloud services (AWS preferred: Lambda, S3, SES, SQS, IAM; Azure/GCP equivalent acceptable)
• Solid understanding of data architecture, REST APIs, and system integration patterns
• Familiarity with

Generative AI and agentic technologies

— LLM-based applications and prompt engineering, initial exposure to building AI agents with frameworks such as LangChain or CrewAI, and a basic understanding of RAG (Retrieval-Augmented Generation) principles and vector databases

• Experience building internal tools and products (dashboards, portals, workflow apps) for business and technical stakeholders
• Ability to work autonomously across multiple concurrent initiatives and shifting priorities
• Strong collaboration and communication skills across technical and non-technical stakeholders, in agile cross-functional environments

Nice to have:

• Automotive/connected vehicle/IoT data experience; data governance tools (Collibra, Immuta, Unity Catalog permissions); GDPR, EU Data Act, EU AI Act knowledge; Terraform

Next steps:

• Press "Apply"
• We will review your application
• If qualified, you will be accepted into the network and can be considered for this and similar positions & projects