Senior Software Engineer (Data Platform)
- Company
- Chime
- Location
- San Francisco, United States
- Salary
- 15 583–21 583 $/mo
- Posted
- 2026-10-07
Skills: Snowflake, BigQuery, Redshift, dbt, Airflow, Dagster, Terraform, Kafka, Flink, Python, Java, Kotlin, ETL
- Solid understanding of key metrics for data pipelines and experience building solutions to provide visibility to partner teams - Built or improved observability for data systems - freshness monitoring, row-level quality checks, schema drift detection, and SLA dashboards that engineering and business teams actually trust - Production experience with the modern data stack, specifically: - A cloud data warehouse (Snowflake, BigQuery, or Redshift) - Strong system design skills - you’ve written design docs, made trade-offs, and delivered the result - Data modeling and transformation frameworks (dbt) - Experience operating in a regulated environment (fintech, healthtech, or similar) where data governance, access control, and audit trails are non-negotiable - Workflow orchestration (Airflow, Dagster, or Prefect) and IaC (Terraform) - 5+ years building, shipping, and operating data infrastructure in production - not just writing pipelines, but owning their reliability, performance, and cost at scale - At least one streaming technology (Kafka, Flink, or Kinesis) - you understand when batch isn’t enough - Deep proficiency in Python or Java/Kotlin, with strong opinions on testing, code quality, and maintainability in data-heavy codebases
Join Chime, a leading fintech company, as a Senior Software Engineer on the Data Platform team. You will design, build, and operate self-serve ETL/ELT frameworks, drive the technical roadmap for the data platform, and partner with various teams to…
Full text and application on the employer's site.