Data Engineering Manager

• Strong Python experience within data engineering or ELT environments. \n

• Strong understanding of data modeling and large-scale data transformation. \n

• Experience designing and managing data ingestion pipelines across multiple data sources. \n

• Hands-on experience with Airflow or a comparable orchestration framework. \n

• Strong Linux/Unix experience. \n

• Experience working with large datasets and inconsistent or complex data quality. \n

• Previous experience leading or managing a technical team of approximately 3-5 engineers. \n

• Strong ability to operate at both architectural and hands-on implementation levels.

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.

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What You’ll Do

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• Provide technical leadership across data engineering, including architecture, engineering standards, code quality, and technical problem-solving. \n

• Design and build scalable ELT pipelines supporting data products and analytics. \n

• Own data modeling, transformations, and integration of new data sources. \n

• Partner closely with engineering, product, analytics, and customer-facing teams to resolve complex data and platform issues. \n

• Lead initiatives from technical design and planning through development, testing, deployment, and ongoing optimization. \n

• Improve platform reliability, scalability, automation, observability, and overall engineering efficiency. \n

• Establish and promote best practices around data engineering productivity, quality, and maintainability. \n

• Contribute to technical strategy and the ongoing evolution of the data platform. \n

• Mentor and support a team of data engineers, helping raise technical capability and engineering standards. \n

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What You Bring