Staff Data Platform Engineer — Scale & Dev Tools

Intuit; Grand Rapids (MI); On-site; USD 150,000 - 210,000; Full time

Job summary

Intuit's Credit Karma data platform team is seeking a senior data infrastructure engineer to design and evolve high-throughput data frameworks and streaming pipelines across GCP. You will implement encryption, governance features, and self-service tooling used by multiple product teams.

You'll own the end-to-end data path from ingestion to analytics, work on Kafka/Pub/Sub, Dataflow, Spanner, and BigQuery, and mentor engineers while maintaining reliability and low latency at scale in a fast-paced

Qualifications

• 7+ years of professional software engineering experience building backend services and data infrastructure in Scala, Java, or a similar JVM language.

Responsibilities

• 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

Skills

Distributed systems

Scala

Java

Data pipelines

GCP / Dataflow

Kafka / Pub/Sub

CI/CD

Tools

Finagle

Akka

gRPC

Dataflow

BigQuery

Spanner

Kubernetes

Job description

Intuit's Credit Karma data platform team is seeking a senior data infrastructure engineer to design and evolve high-throughput data frameworks and streaming pipelines across GCP. You will implement encryption, governance features, and self-service tooling used by multiple product teams.

You'll own the end-to-end data path from ingestion to analytics, work on Kafka/Pub/Sub, Dataflow, Spanner, and BigQuery, and mentor engineers while maintaining reliability and low latency at scale in a fast-paced