Senior Data Engineer at Lower | Austin, TX, US | Rezi

Senior Data Engineer at Lower

Senior Data Engineer

Lower · Austin, TX, US

1 weeks ago

Senior Data Engineer

Lower · Austin, TX, US

14 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Senior Data Engineer role.

Rezi rewrites your resume against Lower's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Senior Data Engineer posting at Lower — free, in seconds.

About the Role

Lower.com is seeking a Senior Data Engineer to join the Data & Analytics team. This role involves designing and building data infrastructure for reporting, analytics, and decision-making, utilizing technologies like Snowflake, dbt, Looker, and Domo. The position requires taking ownership of complex initiatives, proactively identifying issues, and mentoring other engineers. Experience with modern AI development tools is also valued.

Responsibilities

  • Design and build major components of the data warehouse in Snowflake, including the ingestion and transformation layers, and core schema domains, with work in legacy Redshift environments.
  • Lead the ingestion of complex datasets from various source systems into the core schema.
  • Define modeling standards within the domain using dbt and build curated models, marts, and reusable data assets.
  • Own complex initiatives end-to-end, defining scope, creating technical plans, and delivering scalable solutions with minimal oversight.
  • Solve ambiguous, multi-system technical problems and make design decisions that support business growth.
  • Anticipate scalability constraints and downstream impacts, proactively identifying re-architecture needs and proposing solutions.
  • Set a high bar for code quality through code review, driving improvements in testing, validation, and documentation practices.
  • Support and troubleshoot business-critical pipelines and jobs in production, including incident response.
  • Collaborate with stakeholders across various departments to translate their needs into trusted data models and metrics.
  • Mentor junior and mid-level engineers through code review, pairing, and technical guidance.
  • Influence modeling and architecture decisions within the team.

Requirements

  • 5-8+ years in data engineering, analytics engineering, BI engineering, or a similar data-focused role, with demonstrated technical ownership and impact.
  • Deep SQL expertise and extensive experience with large, complex, and messy datasets.
  • A track record of designing and owning production pipelines and data models that others build upon.
  • Strong experience with a cloud data warehouse such as Snowflake, Redshift, BigQuery, or Databricks, including performance tuning and cost optimization.
  • Substantial experience with dbt or a similar transformation framework, including designing reusable patterns and standards.
  • Strong Python (or similar) for data processing, automation, and pipeline orchestration.
  • Deep familiarity with data integration patterns: APIs, SFTP transfers, file-based ingestion, third-party connectors, data shares, and native platform integrations.
  • Fluency with BI and analytics tools such as Looker, Domo, Tableau, or Power BI, including semantic layer design.
  • Hands-on experience using AI-assisted development tools in real engineering work.
  • Comfort operating with limited direction: scoping work, sequencing it, and knowing when to involve others.
  • Experience mentoring or informally leading other engineers.
  • Ability to communicate clearly with both technical and non-technical stakeholders, including leadership.
  • High give a sh*t factor - caring about the quality of delivered work.
  • Collaborative approach, treating teammates and stakeholders as partners.
  • Motivated by building solutions that have a tangible business impact.
  • Ability to present a point of view and adapt based on evidence.

Skills

  • Snowflake
  • dbt
  • Looker
  • Domo
  • Redshift
  • SQL
  • Python
  • APIs
  • SFTP transfers
  • File-based ingestion
  • Third-party connectors
  • Data shares
  • Native platform integrations
  • Tableau
  • Power BI
  • AI-assisted development tools
  • Claude Code
  • Cursor
  • GitHub Copilot
  • AI agents
  • Workflow automation
  • LLM-powered internal tools
  • Orchestration tools
  • CI/CD
  • Modern data stack tooling
  • Data governance
  • Data quality testing
  • Observability frameworks

Location

  • Hybrid in Columbus, OH
  • Hybrid in Austin, TX

Work Type

  • Full-time
  • W2 employment

Experience Level

  • Senior
  • 5-8+ years in data engineering, analytics engineering, BI engineering, or similar

Benefits

  • Extended benefit offerings including medical/dental/vision
  • Parental leave
  • Life insurance
  • Short- and long-term disability
  • Paid holidays
  • Paid time off
  • 401K with company match
  • Discount on home mortgage refinances or purchase

About the Company

  • Lower believes homeownership is key to building wealth and aims to make it easier and more accessible.
  • Lower is a mission-driven fintech simplifying the home-buying process through technology and customer experience.
  • The company has funded tens of billions in home loans and holds top ratings on Trustpilot, Google, and Zillow.
  • Lower is a leader in the industry, driven by its people.

Equal Opportunity

  • 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.