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Senior Data Engineer

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
  • Develop and maintain ETL/ELT processes to ensure seamless data flow across systems.
  • Create and optimize data models and database schemas to support analytics and reporting needs.
  • Enhance SQL queries and database performance for efficient data retrieval and processing.
  • Oversee the architecture and management of our data warehouse, ensuring data integrity and accessibility.
  • Work closely with cross-functional teams, including product managers and data analysts, to understand data requirements and deliver solutions.
  • Provide guidance and mentorship to junior data engineers, fostering a culture of continuous learning and improvement.


About you
  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • 5+ years in data engineering or architecture roles, preferably within product-centric companies.
  • Strong background in building scalable data pipelines using Python, SQL, and cloud-based services (AWS preferred).
  • Proven experience designing and deploying efficient data transformations on large-scale datasets.
  • Skilled in workflow orchestrationdata integration, and analytics platforms (e.g., Airflow, Airbyte, Metabase).
  • Knowledge of modern data lake and cataloging approaches, including schema management and table formats such as Apache Iceberg.
  • Proven ability in SQL query tuning, data modeling, and database design.


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 - Choose your laptop!
  • Team Offsites Around the World – In 2024, we gathered in Poland, Mexico, and Florida - where to next?


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!

Average salary estimate

$165000 / YEARLY (est.)
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$140000K
$190000K

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Full-time, hybrid
DATE POSTED
August 18, 2025
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