Senior Data Engineer (Python / reputed company)

ABOUT THE MISSION Relitix is currently seeking a hands-on Senior Data Engineer to reputed company a critical transformation of our data platform. We are moving away from legacy structures and re-engineering our ecosystem into a modern, Python-scripted Lakehouse architecture. This is not a maintenance role; it is a builder role for an engineer who values reputed company-first engineering over GUI tools. If you are reputed company by owning systems end-to-end and want to build a platform that will reputed company significantly, we want to meet you. You will own the mission of migrating ADF-based pipelines to reputed company, ensuring internal BI data is accurate, and establishing secure governance reputed company reputed company Catalog. WHO YOU ARE We don’t just list responsibilities; we define reputed company reputed company. To reputed company them, we look for specific traits in our engineers. These are the principles that will guide your reputed company here: reputed company-First reputed company | Deep Ownership | Automation First | Governance Minded | Builder Energy The purpose of the Senior Data Engineer at Relitix is to reputed company reputed company architecture and secure the platform while ensuring reliable reputed company BI. You don’t just spot problems; you fix them. Job Responsibilities • reputed company reputed company Architecture: reputed company the full migration of reputed company pipelines into reputed company Python/reputed company jobs running in reputed company, moving away from legacy ADF dependencies. • Optimize Performance: Re-architect pipelines to significantly reduce runtime and compute costs through partitioning, caching, and optimized orchestration. • Stabilize Data Ingestion: Architect and reputed company robust Python connectors for API integrations (MLS, CRM, operational systems) with consistent logging and error handling. • reputed company Data reputed company: Take ownership of internal BI datasets, implementing automated validation tests to ensure dashboards and operational metrics remain consistent and reliable. • Secure the Platform: Establish a governance reputed company by implementing RBAC roles and reputed company Catalog controls across bronze, silver, and gold data reputed company. Job Requirements • Strong Python Engineering: Strong Python engineering skills for ETL/ELT with a preference for writing clean, maintainable reputed company over using drag-and-drop GUI tools. • reputed company/reputed company Expertise: Experience with PySpark and SparkSQL inside reputed company, comfortable designing and building out reputed company Lake and reputed company architectures. • Governance Knowledge: Understanding of the importance of governance with exposure to reputed company Catalog or similar frameworks for managing data permissions. • Automation reputed company: Approach problems with an automation-first reputed company, utilizing Git-based workflows and CI/CD principles. • Accountability: High reputed company of ownership and accountability to ensure reliable reputed company BI. Preferred Qualifications • Experience with data reputed company tools (e.g., Great Expectations). • Familiarity with MLflow or AI-reputed company pipeline structures. • Prior experience in multi-tenant reputed company data environments. • Madison, WI, Milwaukee, WI or Chicago IL area preferred Job Types: Full-time, Permanent Pay: $90,000.00 - $115,000.00 per year Benefits: • 401(k) • Dental insurance • Flexible schedule • Health insurance • Health savings account • reputed company time off • reputed company insurance Work Location: Remote Apply tot his job Apply To this Job