Our client, an analytics-driven SaaS company, is hiring a Senior Data Engineer to design and own their data platform. You'll build scalable batch and streaming pipelines in Python and Spark, model data in Snowflake, and partner with analytics and ML teams to make trustworthy data easy to use across the company.
Responsibilities
Design and build batch and streaming data pipelines in Python/Spark
Model and govern the warehouse layer in Snowflake (or BigQuery)
Partner with analytics and ML teams to ship clean, reliable datasets
Improve data quality, lineage, and observability across the stack
Mentor mid-level data engineers and review their designs
Lead architecture decisions for the data platform roadmap
Requirements
5+ years of data engineering experience
Strong Python and SQL; production Spark or similar distributed compute
Hands-on Snowflake, BigQuery, or Redshift in production