Manager – Data Engineering

This is a fully remote position, open to applicants in California.

📋 Description

• Lead and mentor a team of data engineers, nurturing a culture of continuous learning, innovation, and operational excellence.

• Collaborate with cross-functional teams to design and implement scalable data pipelines and models that meet business requirements and adhere to industry best practices.

• Manage the development, deployment, and maintenance of enterprise-grade ELT processes, data marts, and business intelligence assets.

• Take ownership of and enhance data quality frameworks, ensuring proactive monitoring, troubleshooting, and resolution of data issues.

• Advocate for the implementation of automation and contemporary data engineering practices, promoting efficiencies in pipeline management and data delivery.

• Assist your team in developing domain expertise in healthcare operations, ensuring that data solutions are compliant with regulatory and security standards.

• Contribute to the strategic planning of the data engineering function, including resource allocation, technology selection, and process enhancement initiatives.

• Promote and uphold software development best practices, including code reviews, source control, CI/CD, and testing.

⛳️ Requirements

• A Bachelor’s degree is required in computer science, engineering, healthcare, analytics, or a related field; a Master’s degree is preferred.

• Over 5 years of experience in data engineering or software development roles, with a minimum of 2 years in a leadership or management position.

• At least 2 years of experience with medical claims in healthcare and/or managed care.

• Strong proficiency in building scalable ELT/ETL pipelines utilizing modern data platforms and cloud-based services (e.g., AWS, Azure).

• Advanced skills in SQL and scripting/programming languages such as Python or Spark.

• A solid understanding of database structures, data modeling (normalized, star schema, snowflake), and data warehousing concepts.

• Preferred experience with Databricks or similar distributed computing platforms.

• Familiarity with BI tools such as Power BI.

• Extensive knowledge of professional software engineering practices including SDLC, version control, CI/CD, and automated testing.

• Excellent communication and stakeholder management abilities, capable of translating technical concepts for non-technical audiences.

🏝️ Benefits

• This position is remotely based in the U.S.

• The total compensation target pay range for this role is: $140,000 - $160,000.