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Senior Data Engineer

handoff United State
Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Design, implement, and maintain scalable data systems to support analytics and decision-making across Handoff. Develop data models and optimize SQL queries. Collaborate with cross-functional teams to define metrics and KPIs.

Key Highlights
Design and implement scalable ETL/ELT pipelines using Airflow
Develop data models across the Medallion Architecture layers
Optimize SQL queries for large datasets in AWS Athena and other relational systems
Build and maintain dashboards and BI workflows using Metabase
Collaborate with Product, Operations, and Analytics teams to define startup metrics and KPIs
Technical Skills Required
Python SQL Airflow AWS Athena AWS S3 AWS Glue AWS Redshift Metabase Medallion Architecture
Benefits & Perks
Competitive Salary + Equity
Unlimited Paid Time Off (PTO)
401(k)
Medical, Dental & Vision Insurance
Life & Disability Insurance
Flexible Spending Account (FSA)
Dependent Care FSA (DC FSA)
Relocation Allowance

Job Description


Why join us?
Handoff is the AI agent that runs a construction company. We help remodelers automate estimating, streamline operations, and win more work - backed by real-time cost data, intuitive design, and workflows that “speak contractor.” With over 10,000 monthly active users and $6B in annualized project volume already flowing through our platform, we’re becoming the trusted partner for the people who build our homes.

We are backed by $25M+ raised from Y Combinator, Sequoia, Initialized, and Greycroft. Our team is distributed across hubs in Austin, São Paulo, and Buenos Aires, and we are deeply focused on building intuitive, high-impact solutions that make a real difference for our users.

Senior Data Engineer at Handoff

You’ll play a central role in shaping Handoff’s data infrastructure, with a strong focus on building and optimizing our data warehouse. Beyond writing pipelines, you’ll be deeply invested in understanding how data drives our business and empowers our teams, ensuring that every solution you build delivers clarity and impact. You’ll work closely with engineering, product, and business stakeholders to design scalable, reliable, and high-quality data systems that become the foundation for insights and decision-making across Handoff.

What You'll Do

  • Design, implement, and maintain scalable ETL/ELT pipelines using Airflow
  • Develop data models across the Medallion Architecture layers to support analytics and reporting
  • Optimize SQL queries for large datasets in AWS Athena and other relational systems
  • Build and maintain dashboards and BI workflows using Metabase
  • Collaborate with Product, Operations, and Analytics teams to define startup metrics and KPIs
  • Ensure data quality, governance, and reproducibility across the data warehouse/lake
  • Establish best practices for data engineering and analytics

About You

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
  • 5+ years of experience in data engineering or related roles
  • Strong SQL expertise with experience tuning queries and designing efficient schemas
  • Hands-on experience with Airflow for workflow orchestration
  • Familiarity with AWS services, especially Athena, S3, Glue, and Redshift
  • Experience building analytics dashboards with Metabase or similar BI tools
  • Understanding of Medallion Architecture and layered data pipelines
  • Strong understanding of startup/product metrics and how to translate them into analytics workflows
  • Proficiency in Python for data engineering and ETL tasks
  • Collaborative and able to work cross-functionally with product and business teams

What We Offer

  • Competitive Salary + Equity
  • Unlimited Paid Time Off (PTO)
  • 401(k)
  • Medical, Dental & Vision Insurance
  • Life & Disability Insurance
  • Flexible Spending Account (FSA)
  • Dependent Care FSA (DC FSA)
  • Relocation Allowance
  • Top-Notch Equipment
  • Team Offsites Around the World!

If you are passionate about pushing the boundaries of data to deliver value to users and enjoy working in a dynamic, fast-paced environment, we’d love to hear from you!

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