Senior Software Engineer (Data Engineering)

Professional experience developing in Go and/or Python. Strong experience with the modern data stack, including tools and concepts like: Batch and Stream processing (Spark, Flink), Data Transformation (dbt), Data Warehousing, Data Lakes, and Open Table formats (Iceberg, Delta Lake), Data Cataloging and Governance (AWS Glue, LakeFormation). Hands-on experience with cloud and data technologies like Google Cloud (BigQuery, Pub/Sub) or AWS equivalents. Typically 5+ years of professional software engineering experience.

Design, build, and own critical parts of our data infrastructure, including the ELT pipelines that serve as the source of truth for the company. Implement and uphold the standards for data quality and governance that enable self-service analytics. Make important design and technology choices for the components you own, ensuring they are scalable and reliable. Mentor other engineers on the team, helping to level up our collective data expertise through code reviews and knowledge sharing. Partner with stakeholders to understand their needs and deliver data models and pipelines that unlock new insights.