Data Engineering Manager

With
** tens of billions in funded home loans
** and top ratings on
** Trustpilot (4.8), Google (4.9), and Zillow (4.9)
**** Our people.
** Join us and be part of something bigger.
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* Job Description:

** The Engineering Manager will lead and grow a high-impact team of data engineers while remaining hands-on in the codebase. This role blends people leadership, technical execution, and architectural stewardship. The Engineering Manager is responsible for guiding a team of three data engineers, setting technical direction, planning and prioritizing work, and contributing directly through individual contributor efforts.

This is an ideal opportunity for a senior engineer or manager who enjoys mentoring others, improving systems, and still spending meaningful time building pipelines, reviewing code, and solving complex data problems. The role plays a critical part in shaping the future of our data platform as we scale, modernize, and deepen our impact across the business.###
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* Location:

** Columbus, OH or Austin, TX required with weekly in-office expectations.### ###
** Compensation:
** Compensation for this role varies based on location and experience level. The anticipated base salary ranges are:* ###
** Columbus, OH:** $125,000–$169,000* ###
** Austin, TX:** $135,000–$185,000###
** What you'll do:**###
* Team Leadership & Management** ### Manage, mentor, and support a team of data engineers, fostering growth, accountability, and strong engineering practices.* ### Plan, prioritize, and groom team work through sprint planning, backlog refinement, and capacity management.* ### Conduct regular 1:1s, provide feedback and coaching, and support career development for team members.* ### Partner with cross-functional leaders to align engineering priorities with business needs.###

* Hands-On Technical Contribution** ### Act as a player-coach by owning and delivering individual contributor work alongside the team.* ### Design, build, and maintain scalable data pipelines using tools such as Snowflake, Fivetran, SQL, Python, and custom API integrations.* ### Review pull requests, enforce coding standards, and ensure high-quality, maintainable, and well-documented code.* ### Troubleshoot and resolve data pipeline issues, performance bottlenecks, and reliability concerns.###

* Architecture & Platform Ownership** ### Own and evolve the data engineering architecture with a focus on scalability, reliability, and simplicity.* ### Identify and reduce technical debt, improve repository structure, and introduce best practices across the codebase.* ### Partner closely with the analyst side of the team to ensure datasets are well-modeled, performant, and analysis-ready.* ### Contribute to tooling, process improvements, and documentation that increase team velocity and data quality.###

* Stakeholder Collaboration** ### Work directly with analyst teammates, product, marketing, and business stakeholders to understand data needs and translate them into technical solutions.* ### Provide technical guidance and context to non-technical partners.* ### Proactively identify opportunities where data engineering can unlock new insights or efficiencies.### ###
** Who you are:*** ### Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).* ### 6+ years of experience in data engineering, analytics engineering, or related roles.* ### Strong hands-on experience with cloud data warehouses (Snowflake or equivalent).* ### Expert-level SQL skills, including query optimization and analytical data modeling.* ### Strong Python experience for data pipeline development, automation, and orchestration.
* ### Experience implementing ELT/ETL workflows using managed tools (e.g., Fivetran) and custom API-based ingestion solutions.* ### Solid understanding of data modeling, pipeline orchestration, and analytics enablement.* ### Experience reviewing code, improving architecture, and managing technical debt.* ### Strong communication skills and ability to balance technical depth with business context.### ###
** Preferred Experience*** ### Prior experience leading or mentoring engineers (formal…