Senior Data Engineer

4 semanas atrás

Goiás, Brasil Handoffai Tempo inteiro

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 will be pivotal in shaping our data landscape. Your expertise will drive the development of scalable data pipelines, robust ETL processes, and efficient data models, ensuring our teams have access to high-quality data for informed decision-making.

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 experience with Python , PostgreSQL , AWS , Airflow , Airbyte , and Metabase .
  • Experience developing and deploying data transformations using AWS Athena and Apache Iceberg tables.
  • Experience using AWS Glue Data Catalog to manage Apache Iceberg tables.
  • Proven ability in SQL query tuning , data modeling , and database design .
  • Experience designing and building dashboards .
  • Demonstrated capability to troubleshoot complex data issues and implement effective solutions.
  • Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
What we offer
  • Attractive stock options
  • Unlimited PTO
  • All the equipment you need
  • Regular team offsites around the world. We've already met in Poland, Mexico, and Argentina—next stop: Austin
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 #J-18808-Ljbffr

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