Senior Data Engineer

2 semanas atrás

São Paulo, São Paulo, Brasil Handoff Tempo inteiro US$150.000 - US$200.000 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

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


• 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 and Glue.


• 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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