Job Description
Data Engineering Manager
Location: 100% Remote – US
Level: Manager / Leader
Compensation: Up to $230,000 base
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.