About this role
About the Role Credit Karma's data teams own the end-to-end data path — from service emission to datalake landing to consumer hydration. We build the frameworks, pipelines, and persistence layers that every product team depends on to move data reliably at scale. This is a foundational engineering role — you will build the frameworks and infrastructure that other engineers across Credit Karma use to ship data-intensive features. If you care about developer experience, system reliability, and solving hard distributed systems problems at scale, this team is for you. What You'll Do
- Design, build, and maintain high-throughput, low-latency data frameworks used across Credit Karma's engineering organization, including ETL templates, persistence libraries, and streaming data pipelines
- Develop and extend Scala-based microservices and frameworks built on Finagle, Akka Streams, and gRPC that process petabytes of data daily
- Build and optimize cloud-native data pipelines on Google Cloud Platform using Dataflow (Apache Beam), Pub/Sub, BigQuery, and Spanner
- Own and evolve our Kafka-based streaming infrastructure — designing producers, consumers, and connectors that handle hundreds of terabytes of events per day with strict latency and durability guarantees
- Build persistence frameworks that provide a unified, type-safe API for reading and writing across Spanner, MySQL, and BigQuery
- Design and implement encryption, decryption, and fine-grained access control capabilities as reusable framework features, ensuring compliance with data governance requirements
- Create self-service developer tooling — CLI tools, templates, and onboarding automation — that reduces the time for other teams to adopt the data platform from weeks to hours
- Drive technical design through architecture reviews and Technical Design Documents (TDDs), influencing decisions across the broader Data & AI organization
- Participate in on-call rotations and build observability (dashboards, alerting, metrics) into every system you ship