Sr. Python Developer ( w​/Lead Experience : Auburn Hills, MI w2

Sr. Python Developer/Lead

Auburn Hills, MI, 48321

The Senior Data Engineer & Technical Lead (SDET Lead) will play a pivotal role in delivering major data engineering initiatives within the Data & Advanced Analytics space. This position requires hands‑on expertise in building, deploying, and maintaining robust data pipelines using Python, PySpark, and Airflow, as well as designing and implementing CI/CD processes for data engineering projects.

• Data Engineering
  :
  Design, develop, and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads.
• Workflow Orchestration
  :
  Build, schedule, and monitor complex workflows using Airflow, ensuring reliability and maintainability.
• CI/CD Pipeline Development
  :
  Architect and implement CI/CD pipelines for data engineering projects using Git Hub, Docker, and cloud‑native solutions.
• Testing & Quality
  :
  Apply test‑driven development (TDD) practices and automate unit/integration tests for data pipelines.
• Secure Development
  :
  Implement secure coding best practices and design patterns throughout the development lifecycle.
• Collaboration
  :
  Work closely with Data Architects, QA teams, and business stakeholders to translate requirements into technical solutions.
• Documentation
  :
  Create and maintain technical documentation, including process/data flow diagrams and system design artifacts.
• Mentorship
  :
  Lead and mentor junior engineers, providing guidance on coding, testing, and deployment best practices.
• Troubleshooting
  :
  Analyze and resolve technical issues across the data stack, including pipeline failures and performance bottlenecks.
• Cross‑Team Knowledge Sharing
  :
  Cross‑train team members outside the project team (e.g., operations support) for full knowledge coverage.

• Minimum of 7 years overall IT experience;
  Hands‑on Data Engineering.
• Minimum 5 years of practical experience building production‑grade data pipelines using Python and PySpark.
• Graduate degree in a related field, such as Computer Science or Data Analytics.
• Familiarity with Test‑Driven Development (TDD).
• A high tolerance for Open Shift, Cloudera, Tableau, Confluence, Jira, and other enterprise tools.