Chime Senior Software Engineer on Chime’s Data Platform team building and operating core data infrastructure for batch and streaming workloads. Leads design and technical standards for data movement and governance.
Responsibilities
Chime’s Data Platform team builds the infrastructure every engineering and analytics team depends on - ingestion, transformation, quality, governance, and self-serve tooling across batch and streaming workloads.
You’ll own core platform systems at scale, design the frameworks other teams build on, and set the technical standards for how data moves through Chime. High autonomy, real architectural trade-offs, production impact from day one. We’re hiring multiple engineers into this role at the senior level.
Design, build, and operate self-serve ETL/ELT frameworks supporting both batch and streaming workloads, with direct ownership of pipeline reliability, data quality SLAs, and schema evolution
Drive the technical roadmap for our data platform - evaluate build-vs-buy decisions, define integration patterns, and set standards that engineering teams across the company adopt
Partner with Product Engineering, Data Science, Analytics, and Marketing as a technical lead to design data contracts, onboard new data domains, and scale ingestion without sacrificing governance
Architect and enforce data lineage, schema registry, and access controls across all domains - ensuring compliance with fintech regulatory requirements (SOX, PII handling)
Own the platform - monitor, alert, debug, and resolve incidents across the data platform with the urgency expected of infrastructure that powers financial products
Raise the technical bar of the team through code review, design reviews, and hands-on mentorship of junior and mid-level engineers
Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.
To thrive in this role, you have
5+ years building, shipping, and operating data infrastructure in production - not just writing pipelines, but owning their reliability, performance, and cost at scale
Strong system design skills - you’ve written design docs, made trade-offs, and delivered the result
Qualification
5+ years building
Required
5+ years building, shipping, and operating data infrastructure in production
Strong system design skills with experience writing design docs and making trade-offs
Solid understanding of data pipeline metrics and observability solutions
Deep proficiency in Python or Java/Kotlin
Production experience with cloud data warehouses (Snowflake, BigQuery, or Redshift)
Experience with workflow orchestration (Airflow, Dagster, or Prefect) and IaC (Terraform)
Experience with streaming technologies (Kafka, Flink, or Kinesis)
Experience operating in regulated environments (fintech, healthtech, or similar)
