Intuit
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Overview
Join Intuit’s Business Intelligence (BI) Platform team as we reimagine the next generation of scalable, intelligent data infrastructure. We serve over 240TB of data, 2 billion records daily, and deliver 200+ million report requests through 20+ complex pipelines—supporting enterprise and mid-market customers on their most critical decisions. Overview
Join Intuit’s Business Intelligence (BI) Platform team as we reimagine the next generation of scalable, intelligent data infrastructure. We serve over 240TB of data, 2 billion records daily, and deliver 200+ million report requests through 20+ complex pipelines—supporting enterprise and mid-market customers on their most critical decisions.
What you'll bring
12–15 years of experience in data engineering with deep expertise in distributed, cloud-native systems. Proven experience designing and operating systems leveraging polyglot storage models (OLAP, NoSQL, key-value, etc.). Strong knowledge of OLTP and OLAP workloads, including best practices in bridging real-time and batch processing paradigms. Demonstrated success scaling platforms for high concurrency, large data volumes, and tight latency requirements. Expert in data modeling, schema evolution, and designing for resilience and extensibility. Strong working knowledge of AWS data services (Redshift, S3, Glue, Athena, EMR) and performance optimization. Experienced in planning and executing migration strategies and system deprecation in enterprise environments. Effective collaborator and communicator with a track record of influencing across product, data science, and engineering teams. Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.Why
How you will lead
Design and implement robust, scalable data pipelines optimized for low-latency and high-throughput use cases. Drive architecture decisions and evolve our platform toward polyglot persistence patterns, including RDBMS, NoSQL, key-value, time-series, and OLAP systems (e.g., Druid). Lead real-time data processing initiatives, including stream-based ingestion and transformation (e.g., with Kafka/Flink/Spark Streaming). Own data modeling strategies—normalized vs. denormalized schema design, schema evolution, and storage optimization. Scale our data layer to support large-scale multi-entity reporting and cloud-native architectures on AWS (e.g., Redshift, S3, Glue). Collaborate with engineering and product stakeholders to align platform capabilities with business needs and SLAs. Plan and execute migration strategies for legacy systems, ensuring a smooth path toward modernization and system deprecation. Enforce best practices across data governance, testing, CI/CD, and observability to maintain operational excellence. Contribute to internal tooling that boosts engineering productivity, visibility, and reliability of the data platform.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Intuit by 2x Sign in to set job alerts for “Senior Staff Software Engineer” roles.
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Join Intuit’s Business Intelligence (BI) Platform team as we reimagine the next generation of scalable, intelligent data infrastructure. We serve over 240TB of data, 2 billion records daily, and deliver 200+ million report requests through 20+ complex pipelines—supporting enterprise and mid-market customers on their most critical decisions. Overview
Join Intuit’s Business Intelligence (BI) Platform team as we reimagine the next generation of scalable, intelligent data infrastructure. We serve over 240TB of data, 2 billion records daily, and deliver 200+ million report requests through 20+ complex pipelines—supporting enterprise and mid-market customers on their most critical decisions.
What you'll bring
12–15 years of experience in data engineering with deep expertise in distributed, cloud-native systems. Proven experience designing and operating systems leveraging polyglot storage models (OLAP, NoSQL, key-value, etc.). Strong knowledge of OLTP and OLAP workloads, including best practices in bridging real-time and batch processing paradigms. Demonstrated success scaling platforms for high concurrency, large data volumes, and tight latency requirements. Expert in data modeling, schema evolution, and designing for resilience and extensibility. Strong working knowledge of AWS data services (Redshift, S3, Glue, Athena, EMR) and performance optimization. Experienced in planning and executing migration strategies and system deprecation in enterprise environments. Effective collaborator and communicator with a track record of influencing across product, data science, and engineering teams. Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.Why
How you will lead
Design and implement robust, scalable data pipelines optimized for low-latency and high-throughput use cases. Drive architecture decisions and evolve our platform toward polyglot persistence patterns, including RDBMS, NoSQL, key-value, time-series, and OLAP systems (e.g., Druid). Lead real-time data processing initiatives, including stream-based ingestion and transformation (e.g., with Kafka/Flink/Spark Streaming). Own data modeling strategies—normalized vs. denormalized schema design, schema evolution, and storage optimization. Scale our data layer to support large-scale multi-entity reporting and cloud-native architectures on AWS (e.g., Redshift, S3, Glue). Collaborate with engineering and product stakeholders to align platform capabilities with business needs and SLAs. Plan and execute migration strategies for legacy systems, ensuring a smooth path toward modernization and system deprecation. Enforce best practices across data governance, testing, CI/CD, and observability to maintain operational excellence. Contribute to internal tooling that boosts engineering productivity, visibility, and reliability of the data platform.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Intuit by 2x Sign in to set job alerts for “Senior Staff Software Engineer” roles.
Folsom, CA $100,150.00-$750,003.00 1 month ago Folsom, CA $100,150.00-$750,003.00 1 month ago Folsom, CA $100,150.00-$750,003.00 1 month ago Senior Software Engineer, Backend (Java/MySQL/AWS)
Senior Software Engineer, Backend (Java/MySQL/AWS)
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Folsom, CA $108,225.00-$180,375.00 2 days ago Folsom, CA $90,000.00-$100,000.00 3 days ago Senior Software Engineer, Web Vault (Frontend)
Senior Software Engineer, Web Vault (Frontend)
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Folsom, CA $128,000.00-$165,000.00 1 week ago Software Engineer III - Full Stack and Java
Folsom, CA $110,000.00-$153,000.00 3 months ago Folsom, CA $100,150.00-$750,003.00 1 week ago Senior Software Engineer (Data Platform)
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Folsom, CA $140,000.00-$180,000.00 2 weeks ago Folsom, CA $128,000.00-$165,000.00 2 months ago Senior Software Engineer, KSM (SDKs & Integrations)
Folsom, CA $78,209.00-$120,502.00 2 days ago Senior Software Engineer - DevOps Integrations (Ansible, Vault, Terraform)
Folsom, CA $140,000.00-$155,000.00 3 days ago Folsom, CA $135,000.00-$145,000.00 2 months ago Folsom, CA $140,000.00-$160,000.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr