Data Engineering Lead

Data Engineering Lead

Location: 100% Remote – US

Level: Senior / Lead

The Opportunity

We’re looking for a senior-level Data Engineering leader to take ownership of complex data engineering initiatives and help shape a scalable, reliable data platform.

This is a hands-on technical leadership role for someone who enjoys solving difficult data problems, improving engineering standards, and mentoring other engineers while remaining close to the technology.

What You’ll Do

• Provide technical leadership across data engineering, including architecture, engineering standards, code quality, and technical problem-solving.
• Design and build scalable ELT pipelines supporting data products and analytics.
• Own data modeling, transformations, and integration of new data sources.
• Partner closely with engineering, product, analytics, and customer-facing teams to resolve complex data and platform issues.
• Lead initiatives from technical design and planning through development, testing, deployment, and ongoing optimization.
• Improve platform reliability, scalability, automation, observability, and overall engineering efficiency.
• Establish and promote best practices around data engineering productivity, quality, and maintainability.
• Contribute to technical strategy and the ongoing evolution of the data platform.
• Mentor and support a team of data engineers, helping raise technical capability and engineering standards.

What You Bring

• Expert-level SQL skills.
• Strong Python experience within data engineering or ELT environments.
• Strong understanding of data modeling and large-scale data transformation.
• Experience designing and managing data ingestion pipelines across multiple data sources.
• Hands-on experience with Airflow or a comparable orchestration framework .
• Strong Linux/Unix experience.
• Experience working with large datasets and inconsistent or complex data quality.
• Previous experience leading or managing a technical team of approximately 3–5 engineers .
• Strong ability to operate at both architectural and hands-on implementation levels.

Nice to Have

• Experience with dbt .
• Exposure to Astronomer, Dagster , or similar workflow orchestration technologies.
• PostgreSQL experience.
• Experience with MPP / distributed database architectures .
• Healthcare or similarly complex data environments.
• Experience working across multiple database technologies.

Why This Role?

This is an opportunity to have meaningful technical ownership over a growing data platform, influence engineering standards, and make an impact across both architecture and day-to-day delivery—all while working remotely within the US.