Analytics Data Engineer Lead

Há 5 dias

Curitiba, Paraná, Brasil beBeeDataEngineer Tempo inteiro US$120.000 - US$150.000
About the Role

We are a construction company leveraging AI to automate estimating, streamline operations and win more work. Our platform provides real-time cost data, intuitive design, and workflows that speak directly to contractors.

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 people who build homes.

Data Infrastructure Position
  • You'll play a central role in shaping our data infrastructure with a focus on building and optimizing our data warehouse.
  • You'll collaborate closely with engineering, product and business stakeholders to create scalable, reliable and high-quality data systems that support insights and decision-making across our organization.
Your Responsibilities
  • 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 key 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.
  • Familiarity with AWS services, especially Athena, S3 and Glue.
  • Hands-on experience with Airflow for workflow orchestration.
  • Experience building analytics dashboards with Metabase or similar BI tools.
  • Understanding of Medallion Architecture and layered data pipelines.
  • Strong understanding of 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.
  • Attractive stock options.
  • Unlimited PTO.
  • Relocation allowance.
  • Top-notch equipment.
  • Opportunities for regular team offsites around the world.

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