Sr. Python Developer & Lead -W2 Contract

Dice is the leading career destination for tech experts at every stage of their careers. Our client, JKV International, is seeking the following. Apply via Dice today! Job Title: Sr. Python Developer & Data Engineering Lead Location: Auburn Hills, MI Remote: Yes – 100% Remote Duration: Long-term Contract (12+ months) Experience: 10+ Years Overall IT Experience Job Overview We are seeking a Senior Data Engineer & Technical Lead (Sr. Python Developer & Lead) to drive large-scale data engineering initiatives within the Data & Advanced Analytics domain. This role is hands-on and leadership-focused, requiring strong expertise in Python, PySpark, Airflow, CI/CD, and workflow orchestration, along with experience mentoring engineering teams. Key Responsibilities • Design, develop, and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads • Build, schedule, and monitor complex workflows using Apache Airflow • Architect and implement CI/CD pipelines for data engineering projects using GitHub, Docker, and cloud-native tools • Apply TDD practices and automate unit and integration testing for data pipelines • Implement secure coding practices and reusable design patterns • Collaborate with Data Architects, QA teams, and business stakeholders to translate requirements into technical solutions • Create and maintain technical documentation, including data flows and system design artifacts • Lead and mentor junior engineers; provide technical guidance and best practices • Troubleshoot and resolve pipeline failures, performance issues, and production incidents • Cross-train team members (operations/support teams) to ensure knowledge continuity Required Skills & Qualifications • 10+ years of overall IT experience • 5+ years of hands-on Data Engineering experience using Python and PySpark • Strong expertise in Apache Airflow (enterprise-scale DAG development and management) • Proven experience building CI/CD pipelines for data engineering workflows • Strong Python (OOP) skills with dependency management and best practices • Experience with Docker and cloud platforms (Google Cloud Platform preferred) • Proficiency in Git (branching, merging, pull requests, GitHub/GitLab workflows) • Strong Unix/Linux command-line skills • Solid SQL skills for data ingestion and analysis • Experience working in Agile, Iterative, and Waterfall methodologies • Strong communication and leadership skills; experience in technical lead roles Nice to Have • Experience with streaming data pipelines • Familiarity with 12-factor app principles • Exposure to data security and governance standards Education • Bachelor’s or Master’s degree in Computer Science, Data Analytics, or related field • Equivalent professional experience will be considered