Remote Data Engineering Manager: Lead ELT & Platform

Harnham; United States; Remote; USD 170,000 - 230,000; Full time

Job summary

Harnham is seeking a senior-level Data Engineering leader to own complex data initiatives and shape a scalable data platform. This hands-on technical leadership role focuses on solving tough data problems, improving engineering standards, and mentoring engineers while staying close to the technology.

You will provide technical leadership across data engineering, design ELT pipelines, own data modeling, and collaborate with cross-functional teams to resolve complex data issues, all while working

Qualifications

• Strong Python experience in data engineering or ELT environments.
• Deep knowledge of data modeling and large-scale transformations.
• Experience designing data ingestion pipelines across multiple sources.
• Hands-on with Airflow or equivalent orchestration framework.
• Experience leading a technical team of ~3–5 engineers.

Responsibilities

• Provide technical leadership across data engineering, including architecture and code quality.
• Design and build scalable ELT pipelines for data products and analytics.
• Own data modeling, transformations, and integration of new data sources.
• Partner with engineering, product, analytics, and customer teams to resolve complex data issues.
• Lead initiatives from design through deployment and ongoing optimization.
• Improve platform reliability, scalability, automation, and observability.
• Promote best practices around data engineering productivity and maintainability.
• Contribute to technical strategy and evolution of the data platform.
• Mentor and support a team of data engineers.

Skills

Python

Data modeling

ELT pipelines

Team leadership

Architectural thinking

Tools

Airflow

dbt

Astronomer

Dagster

Job description

Harnham is seeking a senior-level Data Engineering leader to own complex data initiatives and shape a scalable data platform. This hands-on technical leadership role focuses on solving tough data problems, improving engineering standards, and mentoring engineers while staying close to the technology.

You will provide technical leadership across data engineering, design ELT pipelines, own data modeling, and collaborate with cross-functional teams to resolve complex data issues, all while working