Staff Data Engineer - Scale Data Platform (Equity Eligible)

Intuit

Charlotte (NC)

On-site

USD 190,000 - 275,000

Full time

12 days ago

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Equity rewards
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Job summary

Intuit’s Consumer Group is hiring a Staff Software Engineer – Data to help build the Consumer Data Plane using Credit Karma and TurboTax data, enabling AI-native experiences and in-product personalization. You will design scalable data frameworks, streaming pipelines, and encryption features, while advancing developer tooling and on-call observability.

The role focuses on low-latency processing of hundreds of terabytes daily with strong customer impact.

Qualifications

  • 7 years of professional software engineering experience building backend services and data infrastructure.
  • Experience designing and operating high-throughput, low-latency distributed systems that process data at petabyte scale.
  • 3 years of experience with streaming and messaging platforms such as Apache Kafka or Google Pub/Sub.
  • Experience with Cloud data services (Dataflow, BigQuery, Spanner) on GCP/AWS/Azure.

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), Flink, Spark, Pub/Sub, BigQuery, and Spanner
  • Own and evolve Kafka-based streaming infrastructure — designing producers, consumers, and connectors that handle hundreds of terabytes of events per day
  • 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)
  • Participate in on-call rotations and build observability (dashboards, alerting, metrics) into every system you ship
  • You will own foundational infrastructure — the frameworks you build are the building blocks that every data pipeline and product feature at Credit Karma depends on
  • You will work at real scale — hundreds of terabytes per day, millions of consumer profiles hydrated in real time, and strict SLAs that demand engineering rigor
  • You will shape developer experience — designing the APIs, SDKs, and tooling that hundreds of engineers across the company interact with daily
  • You will solve hard, novel problems — from building MySQL CDC pipelines with cloud-native encryption to designing Apache Beam framework SDKs that support both Java and Python
  • You will be part of a high-impact, collaborative team with a strong culture of technical ownership and continuous learning

Skills

Backend engineering
Distributed systems
CI/CD
Mentoring
Developer experience
Architecture reviews

Education

Bachelor's degree in Computer Science

Tools

Apache Kafka
Google Pub/Sub
gRPC
Apache Beam/Dataflow
Kubernetes (GKE)

Job description

Intuit’s Consumer Group is hiring a Staff Software Engineer – Data to help build the Consumer Data Plane using Credit Karma and TurboTax data, enabling AI-native experiences and in-product personalization. You will design scalable data frameworks, streaming pipelines, and encryption features, while advancing developer tooling and on-call observability.

The role focuses on low-latency processing of hundreds of terabytes daily with strong customer impact.

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