Staff Software Data Engineer - Credit Karma

Intuit

Quick summary

Work type
On-site
Location
Charlotte, NC
Posted
57 days ago

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How this pay compares to similar roles

Similar $192k
$152k most similar roles pay here $233k

This listing doesn't post a salary. Most similar roles pay $160,075–$223,712.

Based on 240 similar postings.

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About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 122 open roles on FindRole.

Listed pay typically runs $199,000–$269,250 across 112 roles with salary data.

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At a glance

TL;DR · Staff Software Data Engineer - Credit Karma

As a Staff Software Data Engineer at Credit Karma in Charlotte, North Carolina, you will join the foundational engineering team responsible for building and maintaining high-throughput data frameworks used by all product teams. Your day-to-day responsibilities include designing and extending Scala-based microservices using Finagle and Akka Streams to process petabytes of daily data, optimizing cloud-native pipelines on Google Cloud Platform with Dataflow and BigQuery, and ensuring strict latency and durability guarantees for Kafka-based streaming infrastructure. You will also create self-service developer tooling and drive technical design through architecture reviews, shaping the developer experience for hundreds of engineers across the company while working at real scale with petabyte-level data processing requirements. Ideal candidates have 7+ years of professional software engineering experience in Scala or Java, expertise in distributed systems, streaming platforms like Kafka and Pub/Sub, and a strong background in cloud-based data pipelines and RPC frameworks.

What you'll do

  • Design and maintain high-throughput data frameworks for ETL templates and streaming pipelines.
  • Develop cloud-native data pipelines on Google Cloud Platform using Dataflow, Pub/Sub, BigQuery, and Spanner.
  • Own and evolve Kafka-based streaming infrastructure to handle terabytes of events daily with strict SLAs.
  • Build persistence frameworks providing unified, type-safe APIs for reading and writing across multiple databases.
  • Create self-service developer tooling that reduces the time for other teams to adopt data platform features from weeks to hours.
  • Drive technical design through architecture reviews and Technical Design Documents (TDDs) to influence decisions across the organization.

What we're looking for

  • 7+ years experience in backend services and data infrastructure using Scala or Java.
  • 7+ years designing and operating high-throughput, low-latency distributed systems at petabyte scale.
  • 3+ years of experience with streaming platforms like Apache Kafka or Google Pub/Sub.
  • 3+ years building data pipelines on major cloud platforms such as GCP, AWS, or Azure.
  • Professional experience with RPC frameworks for production-grade service-to-service communication.
  • Strong understanding of software engineering best practices including CI/CD and automated testing.

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