Drimva

Chime

Senior Software Engineer, Data Engineering

$164K–$227K

San Francisco, CA, USA +1 · Senior · Full-time · Posted Apr 23, 2026

Location
San Francisco, CA, USA
San Francisco, California, United States
Experience
5+ years in data transformation, production data pipelines, stakeholder insights, and listed tools; 3+ years with an MPP database system.

About the job

Build and operate scalable, governed data pipelines and architectures that support reliable data and self-serve insights.

What you'll do

  • Build, scale, and optimize ETL pipelines and workflows to meet data quality and availability requirements.
  • Design data schemas, standardized models, and architecture to support 10x data growth and self-serve insights using AI.
  • Own data quality, governance, and security; collaborate with Data Science, Analytics, and DevOps teams.

What they ask for

  • 5+ years transforming data into governed datasets and building and deploying production-quality data pipelines.
  • 5+ years working with stakeholders to provide business insights.
  • 5+ years writing SQL, Spark, AWS Glue, EMR, Airflow, and Python.
  • 3+ years hands-on experience with an MPP database system such as Snowflake, AWS Redshift, or Teradata.

Nice to have

Pay

$164,000 — $227,000 USD (base salary)

Tools

SQL, Spark, AWS Glue, EMR, Airflow, Python, Snowflake, AWS Redshift

AI focus

Develop data architecture and standardized models enabling self-serve data insights using AI.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)