REMOTE - Data Engineering Manager

Harnham; United States; Remote; USD 207,000 - 253,000; Full time

Job summary

Harnham is seeking a senior Data Engineering Manager to own complex data initiatives and shape a scalable, reliable data platform. This is a hands-on leadership role for someone who enjoys solving difficult data problems while mentoring engineers and setting engineering standards.

You will design ELT pipelines, own data modeling and ingestion, collaborate with product and analytics teams, lead from design through deployment, and raise platform reliability and observability.

Qualifications

• Expert SQL skills with proven performance on large datasets.
• Strong Python experience in data engineering or ELT.
• Experience with data modeling and large-scale transformations.
• Hands-on experience building and managing data ingestion pipelines.
• Experience with Airflow or similar orchestration framework.
• Linux/Unix experience and data quality handling.
• Previous leadership of a 3–5 engineer team.

Responsibilities

• Provide technical leadership across data engineering including architecture and standards.
• Design and build scalable ELT pipelines for data products and analytics.
• Own data modeling, transformations, integration of new data sources.
• Collaborate with engineering, product, analytics, and customer teams to resolve issues.
• Lead from design to deployment and optimization.
• Improve platform reliability, scalability, observability, and efficiency.
• Promote data engineering best practices.
• Contribute to data platform strategy.
• Mentor a team of data engineers.

Skills

SQL

Python

Data modeling

ELT pipelines

Airflow

Linux/Unix

Data quality

Team leadership

Architectural hands-on

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.