Lower

Data Engineering Manager

Lower

full-time

Posted on:

Location Type: Hybrid

Location: Columbus • Ohio, Texas • 🇺🇸 United States

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Salary

💰 $125,000 - $185,000 per year

Job Level

Mid-LevelSenior

Tech Stack

CloudETLPythonSQL

About the role

  • 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.
  • 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.
  • 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.
  • 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.

Requirements

  • 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 management experience preferred but not required). Mortgage, real estate, or financial services industry experience is a strong plus.
Benefits
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringanalytics engineeringSQLPythondata modelingpipeline orchestrationELTETLquery optimizationanalytical data modeling
Soft skills
mentoringcoachingcommunicationteam managementfeedbackcollaborationproblem-solvingaccountabilitycareer developmenttechnical guidance
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Engineeringrelated technical field degree