Senior DataOps Engineer

Role overview Build and operate enterprise data platforms and pipelines that support analytics, integration, and machine-learning work. The role spans architecture, implementation, automation, performance, governance, and operational reliability, with close collaboration across software, systems, security, product, and business teams.

Responsibilities - Develop and support cloud data platforms using Databricks, AWS, and infrastructure-as-code practices. - Lead ETL and ELT pipeline design and operations; build batch and streaming workflows with PySpark, Spark SQL, Delta Lake, and Databricks Workflows. - Tune Databricks clusters and data infrastructure for performance, scale, cost, availability, and reliability. - Build data integration solutions, Python transformation infrastructure, and enterprise data models that capture relationships and dependencies. - Review application data systems for alignment with data governance policies and work with security teams on compliance requirements. - Implement BI dashboards, monitoring, and infrastructure components; the source also includes designing, training, and deploying ML models.

Requirements - Bachelor’s degree in computer science, information technology, or a related area, or equivalent work experience. - At least eight years of hands-on DataOps engineering experience in manufacturing or automotive environments. - Experience with streaming and event-based architectures and implementing data lakehouse solutions. - Practical experience with cloud data platforms, ETL/ELT, and data infrastructure operations. - The source emphasizes collaboration, adaptability, curiosity, resourcefulness, integrity, and comfort in a fast-changing environment.

Benefits and work setup The position is remote within the United States, with occasional travel to meet colleagues or attend events. The source lists a base salary range of $140,000–$170,000, or $154,000–$187,000 in California, plus eligibility for an annual performance bonus. Benefits include medical, dental, vision, income protection, a 401(k) with employer match and immediate vesting, paid time off and holidays, and up to 16 weeks of paid parental leave.