Cientista De Dados ofertas em Indonésia

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.

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.

• 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.

• 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.

• 💸 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!