Senior Data Engineer - Scalable Data Infrastructure

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, 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

We are seeking a Senior Data Engineer to own and scale our data infrastructure. You will design and maintain data pipelines, data models, and analytics workflows to ensure reliable, high-quality data across our platform.

This is a hands-on role where you’ll work with tools like Airflow, AWS Athena, Metabase, and SQL to ensure our team - from Product to Operations - has clean, reliable data to make smarter decisions.

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 in USD
• 💰 Attractive stock options
• 🌴 Unlimited PTO
• 🚛 Relocation allowance
• 👨‍💻 Top-notch equipment
• 🧳 Get ready for regular team offsites around the world. Next stop: Austin!
  
  
  

If you’re excited to take ownership of the data stack at a fast-scaling startup and turn raw data into actionable insights, we’d love to hear from you!