Data Manager Jobs at Intuit with Visa Sponsorship
Data Manager jobs at Intuit involve governing the pipelines, taxonomies, and quality frameworks that power products like TurboTax and QuickBooks. The company has a consistent track record of sponsoring international talent across multiple visa categories for data-focused roles, making it a realistic target for skilled candidates who need work authorization.
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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.
- 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
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 testing
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
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
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.
- 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
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 testing
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
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
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Get Access To All JobsTips for Finding Data Manager Jobs at Intuit
Align your credentials to Intuit's data stack
Intuit's Data Manager roles emphasize metadata governance, data quality frameworks, and platforms like dbt or Databricks. Before applying, document hands-on experience with these tools in your resume so your background maps directly to their posted requirements.
Target Intuit's platform and product teams
Data Manager openings at Intuit cluster around product lines like TurboTax, QuickBooks, and Credit Karma. Filtering your search by business unit helps you identify teams with active data governance needs rather than applying to every open role.
Clarify your visa category before the offer stage
Intuit sponsors several visa types for data roles. Knowing whether you need H-1B cap registration, an E-3 application, or OPT extension lets you flag your timeline accurately during recruiter screens, before it becomes a late-stage complication.
Confirm LCA timing with your hiring team
For H-1B and E-3 transfers or new petitions, Intuit's immigration team must file a certified Labor Condition Application with the DOL before your I-129 can be submitted. Ask your recruiter early who coordinates this internally so nothing stalls after your offer.
Use Migrate Mate to surface Intuit's open Data Manager roles
Intuit posts data roles across multiple channels and they fill quickly. Use Migrate Mate to browse current Data Manager openings at Intuit filtered by visa sponsorship type, so you're applying to verified roles that match your specific work authorization situation.
Prepare for PERM documentation if pursuing a Green Card
Intuit has a track record of supporting employees through permanent residency. If that's your goal, organize your degree transcripts, foreign credential evaluations, and prior employment records early. PERM requires precise documentation that can take months to compile under employer deadlines.
Frequently Asked Questions
Does Intuit sponsor H-1B visas for Data Managers?
Yes, Intuit sponsors H-1B visas for Data Manager roles. Data management is a specialty occupation requiring at least a bachelor's degree in a relevant field such as computer science, information systems, or engineering, which satisfies USCIS's core eligibility criteria. Intuit has established immigration processes, so sponsorship for qualified candidates in this function is standard rather than exceptional.
Which visa types does Intuit commonly use for Data Manager roles?
Intuit sponsors H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and employment-based Green Card pathways including EB-2 and EB-3 for data-focused positions. Australian citizens targeting Data Manager roles should note the E-3 visa as a practical option with no lottery. Canadian and Mexican professionals with qualifying degrees may also be eligible for TN visa status under the USMCA.
What qualifications and experience does Intuit expect for Data Manager positions?
Intuit's Data Manager roles typically require a bachelor's degree or higher in computer science, data engineering, or a related discipline, combined with practical experience in data governance, metadata management, and pipeline quality. Familiarity with tools like dbt, Databricks, or Collibra is frequently referenced in postings. Roles tied to financial products like TurboTax or QuickBooks may also expect knowledge of regulatory data handling.
How do I apply for Data Manager jobs at Intuit?
You can apply directly through Intuit's careers site, but roles fill quickly and not all postings specify visa sponsorship availability upfront. To save time, browse Data Manager openings at Intuit on Migrate Mate, where listings are filtered by visa sponsorship type so you can confirm your work authorization category matches before investing in the application process.
How do I time my application around H-1B cap registration at Intuit?
USCIS opens H-1B cap registration each March for employment starting October 1. If you're not currently on an employer-sponsored visa or OPT, you'll need Intuit to register your petition during that window. Starting conversations with Intuit recruiters by January gives their immigration team enough runway to prepare your registration and supporting documentation before the annual deadline closes.