Software Engineer, Data

Job Description

Architect and maintain the data stack, including warehouse models, pipelines, and integrations that provide reliable insights across product, engineering, finance, and go-to-market teams. Own reporting and core metrics while advancing data quality, observability, governance, documentation, and self-service analytics.

Requirements: Requires at least four years of data engineering or full-stack data experience, deep SQL expertise, and strong proficiency in JavaScript or Python. Candidates should have hands-on experience with data modeling, warehouse architecture, BI environments, tools such as dbt, Airflow, or Dagster, and experimentation frameworks.

Key Skills: Data Engineering, SQL, JavaScript, Python, Data Modeling, Data Warehouse Architecture, Data Pipelines, Data Integration, Business Intelligence, Data Quality, Data Observability, Data Governance, Statistical Analysis, Experimentation, Dbt, Airflow