Staff Data Platform Engineer - Scalable Pipelines

Intuit; Monroe (MI); On-site; USD 180,000 - 280,000; Full time

Job summary

Intuit's Consumer Group is seeking a Staff Software Engineer - Data to help build the Consumer Data Plane using Credit Karma and TurboTax data to enable AI-native experiences, personalization, and growth. You will design scalable data pipelines, schemas, and tooling that power product features across millions of profiles and terabytes per day.

You will own foundational infrastructure, mentor engineers, drive architecture reviews, and ship low-latency data services on GCP.

Qualifications

• 7+ years of professional software engineering experience.
• 7+ years of experience designing and operating high-throughput, low-latency distributed systems.
• 3+ years of experience with streaming and messaging platforms such as Apache Kafka, Google Pub/Sub, or equivalent.
• 3+ years of experience building data pipelines on a major cloud platform (GCP, AWS, or Azure).
• Professional experience with RPC frameworks such as Finagle, gRPC, or Akka.
• Strong CI/CD, Git, code review, and automated testing practices.
• Experience building reusable frameworks, SDKs, or platform libraries.
• Experience with Apache Beam (Dataflow) including transforms and windowing.
• Experience with Change Data Capture (CDC) patterns (e.g., MySQL binlog).
• Knowledge of data encryption at rest/in transit and key management (KMS).
• Knowledge of data governance, data catalog, quality, and lineage in large-scale environments.
• Familiarity with Kubernetes (GKE) and IaC.
• Mentoring engineers and driving technical alignment.

Responsibilities

• Design, build, and maintain high-throughput, low-latency data frameworks used across Credit Karma's engineering organization.
• Develop and extend Scala-based microservices and frameworks built on Finagle, Akka, and gRPC.
• Build and optimize cloud-native data pipelines on Google Cloud Platform using Dataflow, Pub/Sub, BigQuery, and Spanner.
• Own and evolve Kafka-based streaming infrastructure with strict latency and durability guarantees.
• Build persistence frameworks for reading/writing across Spanner, MySQL, and BigQuery.
• Create self-service tooling and onboarding automation to speed platform adoption.
• Drive architecture decisions through design docs and architecture reviews.
• Participate in on-call rotations and build observability into every system shipped.
• Own foundational infrastructure – frameworks used by data pipelines and features across Credit Karma.

Skills

Backend engineering

Distributed systems

Mentoring engineers

Developer experience

CI/CD

Tools

Kafka

Pub/Sub

Dataflow / Apache Beam

Flink

Spark

Google Cloud Platform (GCP)

Finagle

gRPC

Akka

Job description

Intuit's Consumer Group is seeking a Staff Software Engineer - Data to help build the Consumer Data Plane using Credit Karma and TurboTax data to enable AI-native experiences, personalization, and growth. You will design scalable data pipelines, schemas, and tooling that power product features across millions of profiles and terabytes per day.

You will own foundational infrastructure, mentor engineers, drive architecture reviews, and ship low-latency data services on GCP.