Staff Data Engineer: Scalable AI Data Platform

Intuit

Des Moines (IA)

On-site

USD 203,000 - 274,000

Full time

20 hours ago
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Benefits offered by this job

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Job summary

Intuit's Consumer Group is hiring a Staff Software Engineer - Data to shape the core data platform for AI-native experiences. You will design, build, and operate high-throughput data pipelines and JVM-based services that process hundreds of terabytes daily with low latency, across Kafka, Pub/Sub, and Dataflow.

You will own framework and infrastructure building blocks used by many engineering teams, focus on developer experience, security, and governance, and participate in architectural

Qualifications

  • 7+ years of backend software engineering in Scala/Java or JVM language
  • 3+ years designing high-throughput, low-latency distributed systems
  • 3+ years building data pipelines on cloud platforms (GCP/AWS/Azure)
  • Experience with Kafka, Google Pub/Sub, or similar messaging systems
  • Proficiency with RPC frameworks like Finagle, gRPC, or Akka
  • Strong CI/CD, version control, code review and testing practices
  • Experience building reusable frameworks, SDKs, or library code
  • Experience with Apache Beam/Dataflow and CDC patterns
  • Knowledge of data encryption, governance, and security best practices
  • Familiarity with Kubernetes (GKE) and container deployment

Responsibilities

  • Design, build, and maintain high-throughput, low-latency data frameworks and pipelines
  • Develop Scala-based microservices and frameworks using Finagle, Akka, and gRPC
  • Build cloud-native data pipelines on Google Cloud Platform (Dataflow, BigQuery, Spanner)
  • Own and evolve Kafka-based streaming infrastructure with low latency guarantees
  • Create unified, type-safe persistence APIs across Spanner, MySQL, and BigQuery
  • Develop agentic systems and knowledge graphs to enhance AI-powered experiences
  • Implement encryption, access control, and data governance capabilities
  • Create self-service developer tooling (CLI, templates, onboarding) for speed and adoption
  • Lead architecture reviews and design docs to align across Data org
  • Contribute to on-call rotations and build observability into all systems

Skills

Backend engineering
Distributed systems
Scala/Java
Kafka / Pub/Sub
gRPC / Finagle
CI/CD
Cloud Dataflow/Beam

Tools

Finagle
gRPC
Akka
Dataflow
BigQuery
Spanner
Kafka
Kubernetes
GKE

Job description

Intuit's Consumer Group is hiring a Staff Software Engineer - Data to shape the core data platform for AI-native experiences. You will design, build, and operate high-throughput data pipelines and JVM-based services that process hundreds of terabytes daily with low latency, across Kafka, Pub/Sub, and Dataflow.

You will own framework and infrastructure building blocks used by many engineering teams, focus on developer experience, security, and governance, and participate in architectural

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