Senior Data Engineer (BR)
Handoff
Full-time
On-site
São Paulo, Brazil
Senior Jobs
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
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!