Data Engineering Manager

Here at Lower we believe homeownership is the key to building wealth and were making it easier and more accessible than ever. As a mission-driven fintech we simplify the home-buying process through cutting-edge technology and a seamless customer experience.

With tens of billions in funded home loans and top ratings on Trustpilot (4.8) Google (4.9) and Zillow (4.9) were a leader in the industry. But what truly sets us apart Our people. Join us and be part of something bigger.

Job Description:

The Engineering Managerwill lead and grow a high-impact team of data engineers whileremaininghands-on in the codebase. This role blendspeopleleadership technical execution and architectural stewardship. The Engineering Manageris responsible forguiding a team of three data engineers setting technical directionplanningand 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.

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: $125000$169000

• Austin TX: $135000$185000

What youll do:

Team Leadership & Management

• Manage mentor and support a team of data engineers fostering growth accountability and strong engineering practices.

• Plan prioritize and groomteam workthrough 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 andmaintainscalable data pipelines using tools such as SnowflakeFivetran SQL Python and custom API integrations.

• Reviewpullrequests 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.

• Identifyand reduce technical debt improve repository structure and introduce best practices across the codebase.

• Partner closely withthe analyst side of the teamto ensure datasets are well-modeled performant andanalysis-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.

• Proactivelyidentifyopportunities where data engineering can unlock new insights or efficiencies.

Who you are:

• Bachelors 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 communicationskills and ability to balance technical depth with business context.

Preferred Experience

• Prior experience leading or mentoring engineers (formal management experience preferred but notrequired).

• Mortgage real estate or financial services industry experience is a strong plus.

Technical Environment & Stack

• Programming: Python SQL Bash scripting.

• Cloud: AWS (Lambda S3 API Gateway CloudWatch IAM).

• Data Warehouse: Snowflake dimensional modeling query optimization.

• ETL/ELT: dbt pandas custom Python workflows.

• DevOps: GitHub Actions Docker automated testing.

• APIs: REST integration authentication error handling.

• Data Formats: JSON CSV Parquet Avro.

• Version Control: Git GitHub workflows.

What youll get:

• Extended benefit offerings including medical/dental/vision parental leave life insurance short- and long-term disability

• Paid holidays and paid time off

• 401K with company match

• Discount on home mortgage refinances or purchase

Lower provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.