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Senior Software Engineer (Data Platform)

Chime

Skills

Required

  • data governance
  • data systems
  • freshness monitoring
  • row-level
  • schema
  • drift
  • SLA dashboards
  • modern data stack
  • Snowflake / BigQuery / Redshift
  • Airflow / Dagster / Prefect
  • Terraform
  • Kafka / Flink / Kinesis
  • Python / Java / Kotlin

Preferred

  • data platform
  • ETL/ELT
  • evaluating build-vs-buy decisions
  • defining integration patterns
  • Monitoring, alerting
  • debugging
  • metrics for

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 ensure data governance and compliance. You will also monitor and resolve incidents across the data platform and mentor junior and mid-level engineers. Benefits include medical, dental, and vision insurance, mental health support, savings plans, and company events.

Responsibilities

  • Conception, construction and operation of self-service ETL/ELT frameworks supporting both batch and streaming workloads.
  • Driving the technical roadmap for the data platform, evaluating build-vs-buy decisions, defining integration patterns, and setting standards.
  • Monitoring, alerting, debugging, and resolving incidents across the data platform with the urgency expected of infrastructure that powers financial products.
  • Solid understanding of key metrics for data pipelines and experience building solutions to provide visibility to partner teams

Requirements

  • 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

Pay

USD 187,000 - 259,000