Data Contributor Jobs at Intuit with Visa Sponsorship
Data Contributor jobs at Intuit sit at the intersection of financial data, product analytics, and platform integrity. Intuit has a consistent track record of sponsoring international talent across multiple visa categories for data-focused positions, making it a strong target for skilled professionals building a U.S. career in technology.
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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 Contributor Jobs at Intuit
Tailor your portfolio to financial data contexts
Intuit's Data Contributor roles often involve tax, payroll, and small business datasets. Showcase projects where you've structured, cleaned, or contributed to large-scale financial or transactional data pipelines rather than generic data work.
Confirm E-Verify enrollment before accepting offers
Intuit is an E-Verify employer, which is required for F-1 OPT and STEM OPT authorization. Verify this status through the E-Verify employer search before your offer stage so you're not caught off guard during onboarding.
Apply for STEM OPT extension early in your timeline
If you're on F-1 OPT targeting a Data Contributor role, file your STEM OPT extension with USCIS at least 90 days before your current OPT expires. A gap in work authorization can delay your start date with Intuit.
Search open Data Contributor roles through Migrate Mate
Filter by visa type and employer to identify active Data Contributor openings at Intuit that align with your sponsorship needs. Migrate Mate surfaces roles where sponsorship history is already documented, saving you from cold outreach to unconfirmed employers.
Align your credentials with Intuit's specialty occupation standard
H-1B approval for Data Contributor roles requires USCIS to classify the position as a specialty occupation. A degree in computer science, statistics, or data engineering maps most directly to this standard. A general business or unrelated degree increases the risk of a Request for Evidence.
Prepare for a longer timeline if Green Card sponsorship is expected
EB-2 and EB-3 sponsorship through Intuit typically involves PERM labor certification with DOL before the I-140 petition. That process alone takes 12 to 18 months in normal backlogs. Have this conversation during offer negotiation, not after you've already started.
Frequently Asked Questions
Does Intuit sponsor H-1B visas for Data Contributors?
Yes, Intuit sponsors H-1B visas for Data Contributor roles. The position needs to qualify as a specialty occupation under USCIS standards, which typically requires a bachelor's degree or higher in a directly related field such as data science, computer science, or statistics. Your degree field and how it maps to the specific role description matters significantly during the petition review.
How do I apply for Data Contributor jobs at Intuit?
You can browse current Data Contributor openings at Intuit directly through Intuit's careers site or through Migrate Mate, which filters roles by visa sponsorship type so you can confirm eligibility before applying. When applying, tailor your resume to Intuit's data and financial technology context. Roles often emphasize experience with structured data contribution, quality assurance of datasets, and familiarity with large-scale data platforms.
Which visa types does Intuit commonly use for Data Contributor roles?
Intuit sponsors across several visa categories for data-focused roles, including H-1B, E-3 visa (for Australian citizens), TN visa (for Canadian and Mexican nationals), F-1 OPT and STEM OPT, and immigrant pathways including EB-2 and EB-3. The right visa type depends on your nationality, degree level, and career stage. J-1 visa sponsorship is also available for eligible exchange visitors in certain program structures.
What qualifications does Intuit look for in Data Contributor candidates?
Intuit's Data Contributor roles typically require a bachelor's degree in a data-related field along with hands-on experience contributing to structured data pipelines, data quality processes, or annotation workflows. Familiarity with financial or transactional datasets is an advantage given Intuit's product suite. Experience with SQL, Python, or data validation tools tends to appear consistently across these job descriptions.
How do I plan my timeline if I need visa sponsorship for a Data Contributor role at Intuit?
Timeline depends on your visa type. H-1B cap-subject petitions are filed in April for an October 1 start, so any offer would need to be in place before the March registration window. E-3 and TN visas process faster, often within weeks of an offer. F-1 STEM OPT extensions must be filed at least 90 days before OPT expiration. Build backward from your target start date and discuss sponsorship timing explicitly during offer negotiations.