Staff Software Data Engineer - Credit Karma

Intuit; Charlotte (NC); On-site; USD 120,000 - 150,000; Full time

Job summary

Intuit is looking for a foundational engineer to design and maintain high-throughput data frameworks crucial for processing vast amounts of data. This role requires extensive experience in Scala and Java, working with distributed systems and cloud technologies.

You will focus on building resilient cloud-native data pipelines and contribute to product features that rely on rigorous engineering. Join a team where you can spearhead developer experience and solve complex data challenges.

Qualifications

• 7+ years of professional software engineering experience building backend services.
• 7+ years of designing high-throughput, low-latency distributed systems.
• 3+ years of experience with streaming platforms like Apache Kafka.

Responsibilities

• Design, build, and maintain high-throughput data frameworks.
• Develop and extend Scala-based microservices on Google Cloud.
• Own and evolve Kafka-based streaming infrastructure.

Skills

Scala

Java

Apache Kafka

Dataflow

gRPC

Akka

Tools

Google Cloud Platform

BigQuery

Spanner

Job description

Overview

About the Team The teams own the end-to-end data path at Credit Karma — 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. Our systems ingest hundreds of terabytes per day across Kafka, Pub/Sub, and Dataflow, persist to Spanner and BigQuery, and serve low-latency reads to real-time product experiences through our Unified Consumer Profile (UCP) platform.

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

What's Great About The Role

• 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

Responsibilities

Minimum Basic Requirements

• 7+ years of professional software engineering experience building backend services and data infrastructure in Scala, Java, or a similar JVM language
• 7+ years of 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, Google Pub/Sub, or equivalent
• 3+ years of experience building data pipelines on a major cloud platform (GCP, AWS, or Azure), including services like Dataflow, BigQuery, Spanner, or their equivalents
• Professional experience with RPC frameworks such as Finagle, gRPC, or Akka for building production-grade service-to-service communication
• Strong understanding of software engineering best practices including CI/CD, version control (Git), code review, and automated testings

Qualifications

Preferred Qualifications

• Experience building reusable frameworks, SDKs, or platform libraries consumed by other engineering teams — you think about developer experience as a product
• Experience with Apache Beam (Dataflow) including custom transforms, side inputs, windowing strategies, and pipeline optimization
• Experience with Change Data Capture (CDC) patterns, particularly MySQL binlog-based replication to analytical stores
• Experience with data encryption at rest and in transit, including key management (KMS/GSM), SPIFFE/mTLS, and certificate authority integration
• Experience with schema management, data governance, and data quality frameworks in a large-scale production environment
• Familiarity with infrastructure-as-code, Kubernetes (GKE), and container-based deployment models
• Track record of mentoring engineers and driving technical alignment across teams through design documents and architecture reviews