Data Engineer Jobs at Intuit with Visa Sponsorship
Data Engineer jobs at Intuit involve building pipelines and infrastructure across financial technology platforms that power products used by millions. The company has a consistent track record of sponsoring work visas for this function, supporting candidates from application through long-term status and permanent residence pathways.
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Come join the Virtual Expert Platform Data Engineering Team as a Staff Data Engineer. Intuit is the global leader in financial management software where we have pioneered the shift to Virtual Platforms, cloud computing for consumers, small businesses and those that serve them. Intuit moves as fast as a startup, and we are constantly disrupting ourselves as we identify major new technology and design trends that are needed to deliver our mission to power prosperity around the world. Our groups are fast-paced teams focused on delivering innovative capabilities and having fun while doing it.
Responsibilities
- Drive projects in the VEP Data Engineering by working cross-functionally with Product Management, Project Management, Data Architects, Data Scientists, Data Analysts, Software Engineers, and other Data Engineers etc.
- Customer empathy and delight will be the main drivers for success
- 70-85% hands-on development in all phases of the software life cycle.
- Designing end to end data pipeline given business and ops requirements (ingestion, processing and storage). Conduct design and code reviews.
- Own the tech vision and strategy for multiple domains or capabilities
- Identify dependencies, estimate work, sequence tasks as inputs to building project plans
- Build GenAI based solutions to solve for customers/Experts benefit or internal productivity gains.
- Collaborates effectively with peer engineers and architects to solve complex engineering problems
- Influences and communicates effectively with non-technical audiences including senior product managers and business stakeholders
- Focus on operational excellence through root cause analysis and continuous improvement.
- Ability to proactively follow issues through to resolution.
- Contribute to innovations that fuel the growth of Intuit as a whole
Qualifications
- 10+ years software development experience with work experience in developing DB schemas, creating ETLs, and familiarity with MPP/Hadoop systems.
- Advanced experience with scripting language – Python, Shell etc.
- Experience with Amazon web services: EC2, S3, and EMR (Elastic Map Reduce), Redshift or equivalent cloud computing approaches
- Hands on experience with Hadoop stack of technologies – mainly Hive, Hive on Spark
- Big Data: Designing, Building and maintaining highly scalable, robust & fault-tolerant complex data processing pipelines from the ground up
- Strong experience in AI and AI tools.
- Experience working with large data volumes
- Experience creating and consuming JSON/REST web services and communicating with systems
- Strong knowledge of software development methodologies and practices
- Experience working in Agile development teams; working knowledge of Agile (Scrum) development methodologies
- Operational mindset with ability to do Problem, SLA and Incident Management
- Strong expertise in writing analytical SQLs, Data Marts, Data Warehousing and analytic architecture
- BS/MS in Computer Science or equivalent work experience
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. 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. The expected base pay range for this position is: Bay Area California $202,500-274,000 Southern California $188,500-255,000.
Overview
Come join the Virtual Expert Platform Data Engineering Team as a Staff Data Engineer. Intuit is the global leader in financial management software where we have pioneered the shift to Virtual Platforms, cloud computing for consumers, small businesses and those that serve them. Intuit moves as fast as a startup, and we are constantly disrupting ourselves as we identify major new technology and design trends that are needed to deliver our mission to power prosperity around the world. Our groups are fast-paced teams focused on delivering innovative capabilities and having fun while doing it.
Responsibilities
- Drive projects in the VEP Data Engineering by working cross-functionally with Product Management, Project Management, Data Architects, Data Scientists, Data Analysts, Software Engineers, and other Data Engineers etc.
- Customer empathy and delight will be the main drivers for success
- 70-85% hands-on development in all phases of the software life cycle.
- Designing end to end data pipeline given business and ops requirements (ingestion, processing and storage). Conduct design and code reviews.
- Own the tech vision and strategy for multiple domains or capabilities
- Identify dependencies, estimate work, sequence tasks as inputs to building project plans
- Build GenAI based solutions to solve for customers/Experts benefit or internal productivity gains.
- Collaborates effectively with peer engineers and architects to solve complex engineering problems
- Influences and communicates effectively with non-technical audiences including senior product managers and business stakeholders
- Focus on operational excellence through root cause analysis and continuous improvement.
- Ability to proactively follow issues through to resolution.
- Contribute to innovations that fuel the growth of Intuit as a whole
Qualifications
- 10+ years software development experience with work experience in developing DB schemas, creating ETLs, and familiarity with MPP/Hadoop systems.
- Advanced experience with scripting language – Python, Shell etc.
- Experience with Amazon web services: EC2, S3, and EMR (Elastic Map Reduce), Redshift or equivalent cloud computing approaches
- Hands on experience with Hadoop stack of technologies – mainly Hive, Hive on Spark
- Big Data: Designing, Building and maintaining highly scalable, robust & fault-tolerant complex data processing pipelines from the ground up
- Strong experience in AI and AI tools.
- Experience working with large data volumes
- Experience creating and consuming JSON/REST web services and communicating with systems
- Strong knowledge of software development methodologies and practices
- Experience working in Agile development teams; working knowledge of Agile (Scrum) development methodologies
- Operational mindset with ability to do Problem, SLA and Incident Management
- Strong expertise in writing analytical SQLs, Data Marts, Data Warehousing and analytic architecture
- BS/MS in Computer Science or equivalent work experience
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. 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. The expected base pay range for this position is: Bay Area California $202,500-274,000 Southern California $188,500-255,000.
See all Data Engineer Jobs at Intuit
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Get Access To All JobsTips for Finding Data Engineer Jobs at Intuit
Align your portfolio to Intuit's data stack
Intuit's Data Engineer roles consistently emphasize cloud-native pipelines, Spark, and SQL at scale across its QuickBooks and TurboTax platforms. Showcasing hands-on experience with those specific tools in your resume and GitHub portfolio signals immediate fit before the first screen.
Target teams with active LCA filings
Search DOL's public LCA disclosure data to identify which Intuit business units file most frequently for Data Engineer roles. Prioritizing those teams in your applications means you're targeting hiring managers who already understand the sponsorship process firsthand.
Confirm specialty occupation framing early
H-1B approval for Data Engineer roles depends on USCIS classifying the position as a specialty occupation requiring a specific degree field. Before your offer stage, confirm with Intuit's recruiting team that the job description explicitly ties to a qualifying degree, such as computer science or information systems.
Use Migrate Mate to surface open roles
Data Engineer openings at large technology employers like Intuit fill quickly and aren't always flagged as visa-friendly on general job boards. Use Migrate Mate to filter specifically for Intuit Data Engineer roles where sponsorship has been confirmed, so you're applying to verified opportunities.
Understand your OPT and grace period timing
If you're on F-1 OPT, your 60-day grace period after employment ends is firm. Coordinate your Intuit start date carefully so there's no gap between your current authorization expiring and your new employment beginning, especially if an H-1B cap filing is involved.
Prepare for PERM before your H-1B clock runs
Intuit sponsors EB-2 and EB-3 Green Cards for Data Engineers, but PERM labor certification can take 18 months or more. Start that conversation with your manager and HR well before you hit your fifth year on H-1B status so your I-140 is filed before priority date pressure builds.
Frequently Asked Questions
Does Intuit sponsor H-1B visas for Data Engineers?
Yes, Intuit sponsors H-1B visas for Data Engineer roles. The company participates in the annual H-1B cap lottery for new applicants and also files cap-exempt petitions for eligible candidates. Because Data Engineer is classified as a specialty occupation under USCIS guidelines, it qualifies well for H-1B sponsorship when the job description ties clearly to a relevant degree field like computer science or data engineering.
How do I apply for Data Engineer jobs at Intuit?
Applications go through Intuit's careers portal, where Data Engineer roles are listed by product team and location. Tailoring your resume to Intuit's known data stack, including cloud platforms and distributed processing frameworks, strengthens your application. You can also browse verified sponsorship-eligible Data Engineer openings at Intuit through Migrate Mate, which filters for roles where sponsorship is confirmed.
Which visa types does Intuit commonly use for Data Engineers?
Intuit sponsors H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, and J-1 visas for Data Engineer roles, along with EB-2 and EB-3 immigrant visa categories for permanent residence. Australian citizens on E-3 visas and Canadian or Mexican nationals on TN visa status often find these pathways faster to obtain than H-1B, since neither involves a lottery or annual cap pressure.
What qualifications does Intuit expect for Data Engineer roles?
Intuit's Data Engineer positions typically require a bachelor's degree or higher in computer science, information systems, or a closely related field. Beyond the degree, strong candidates demonstrate experience building and maintaining production-grade data pipelines, proficiency with SQL and distributed processing frameworks like Spark, and familiarity with cloud infrastructure. Roles supporting QuickBooks or TurboTax often also expect experience working with high-volume transactional data.
How do I time my application if I need H-1B sponsorship?
H-1B cap filings open in March for an October 1 start date, so your Intuit offer needs to be in place before late February to meet that window. If you're on F-1 OPT, your current work authorization can bridge the gap, but the 60-day grace period and USCIS cap-gap rules mean coordinating your start date precisely with HR matters significantly for maintaining continuous work authorization.