Senior Data Engineer BR

Há 2 dias

São Paulo, São Paulo, Brasil Handoff Tempo inteiro US$30.000 - US$351.000 por ano
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

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