[Remote] Data Engineering Lead
Note: The job is a remote job and is open to candidates in USA. Harnham is seeking a senior-level Data Engineering Lead to own complex data engineering initiatives and help shape a scalable, reliable data platform. The role provides hands-on technical leadership across architecture, ELT pipelines, data modeling, platform reliability, and engineering standards while mentoring data engineers.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- 100% Remote – US
Company Overview
Company H1B Sponsorship