Data Science Engineer Jobs at Intuit with Visa Sponsorship
Intuit hires Data Science Engineers to build the models and pipelines powering products used by millions of small businesses and consumers. The company has a consistent track record of sponsoring work visas for technical roles in this function, supporting candidates across multiple visa categories from initial offer through long-term status.
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Get Access To All JobsCategory Software Engineering
Location Mountain View, California
Job ID 19918
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Intuit's mission is to empower global prosperity through innovative products that deliver exceptional customer value. Our iconic brands, including TurboTax, Credit Karma, QuickBooks, and Mailchimp, collectively serve 100 million customers worldwide. We are seeking a Staff Software Engineer to join the Virtual Expert Platform (VEP) Team. The Virtual Expert Platform provides a suite of capabilities enabling Sales to connect with prospective and existing customers. We are searching for a talented individual with a passion for working with data as a platform, eager to contribute to our industry-revolutionizing journey. As Intuit's customer base and data volume expand annually, robust data engineering within Data Insights is crucial for managing this growth and facilitating machine learning and data-driven product innovations. We maintain close collaboration with Product, Design, Marketing, and Operations to cultivate seamless experiences for both users and experts. We invite you to join us and contribute to a truly groundbreaking endeavor.
Responsibilities
- Design and develop web applications, data platforms and capabilities, prototypes, or proofs of concept (POCs).
- Engage in hands-on coding, contributing 60-80% to development across all phases of the software life cycle.
- Leverage coding expertise to guide the design and implementation of robust software solutions, addressing critical customer problems with scalability, security, ease of maintenance, and interoperability with numerous other systems.
- Collaborate effectively with peer engineers and architects to contribute to and resolve complex problems spanning respective areas, ensuring end-to-end quality in technology and customer experience.
- Influence and communicate effectively with non-technical audiences, including senior product and business management.
- Serve in a technical leadership capacity: Coach and mentor junior engineers on software engineering best practices, the application of AI to enhance applications, and the development of their technical expertise to ensure efficient and effective outcomes.
- Initiate AI integrations in production and assess their impact on software performance and user satisfaction, utilizing appropriate metrics.
- Actively remain current on industry best practices, disseminate learnings, and experiment with and apply cutting-edge technologies while proactively identifying opportunities to enhance software applications with AI technology.
Qualifications
- 8+ years of relevant experience developing web, software, or mobile applications.
- Experience in architecting E2E ecosystem for analytical and customer centric platforms.
- Expert level experience with any of the following Object-Oriented Languages (OOD): Java/J2EE, C#.
- Working Knowledge of XML, JavaScript, JSON, YML and Linux.
- Experience with Big-Data and Cloud technologies (AWS, GCP, Hive, Spark, Kafka, SQL, SparkSQL), Cassandra, Redshift, GraphDB, Apache Iceberg), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop.
- Good knowledge of machine learning and AI.
- BS/MS in computer science or equivalent work experience.
Bonus Points:
- Experience with Salesforce or other CRM solutions.
- Knowledge of SQL in a large scale data warehouse or data lakehouse environment such as Spark, Databricks, Presto/Athena/Trino.
- Some knowledge of Data Science/Machine Learning.
- Knowledge of data visualization tools like Tableau or Qlik Sense.
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. The expected base pay range for this position is:
Category Software Engineering
Location Mountain View, California
Job ID 19918
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Intuit's mission is to empower global prosperity through innovative products that deliver exceptional customer value. Our iconic brands, including TurboTax, Credit Karma, QuickBooks, and Mailchimp, collectively serve 100 million customers worldwide. We are seeking a Staff Software Engineer to join the Virtual Expert Platform (VEP) Team. The Virtual Expert Platform provides a suite of capabilities enabling Sales to connect with prospective and existing customers. We are searching for a talented individual with a passion for working with data as a platform, eager to contribute to our industry-revolutionizing journey. As Intuit's customer base and data volume expand annually, robust data engineering within Data Insights is crucial for managing this growth and facilitating machine learning and data-driven product innovations. We maintain close collaboration with Product, Design, Marketing, and Operations to cultivate seamless experiences for both users and experts. We invite you to join us and contribute to a truly groundbreaking endeavor.
Responsibilities
- Design and develop web applications, data platforms and capabilities, prototypes, or proofs of concept (POCs).
- Engage in hands-on coding, contributing 60-80% to development across all phases of the software life cycle.
- Leverage coding expertise to guide the design and implementation of robust software solutions, addressing critical customer problems with scalability, security, ease of maintenance, and interoperability with numerous other systems.
- Collaborate effectively with peer engineers and architects to contribute to and resolve complex problems spanning respective areas, ensuring end-to-end quality in technology and customer experience.
- Influence and communicate effectively with non-technical audiences, including senior product and business management.
- Serve in a technical leadership capacity: Coach and mentor junior engineers on software engineering best practices, the application of AI to enhance applications, and the development of their technical expertise to ensure efficient and effective outcomes.
- Initiate AI integrations in production and assess their impact on software performance and user satisfaction, utilizing appropriate metrics.
- Actively remain current on industry best practices, disseminate learnings, and experiment with and apply cutting-edge technologies while proactively identifying opportunities to enhance software applications with AI technology.
Qualifications
- 8+ years of relevant experience developing web, software, or mobile applications.
- Experience in architecting E2E ecosystem for analytical and customer centric platforms.
- Expert level experience with any of the following Object-Oriented Languages (OOD): Java/J2EE, C#.
- Working Knowledge of XML, JavaScript, JSON, YML and Linux.
- Experience with Big-Data and Cloud technologies (AWS, GCP, Hive, Spark, Kafka, SQL, SparkSQL), Cassandra, Redshift, GraphDB, Apache Iceberg), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop.
- Good knowledge of machine learning and AI.
- BS/MS in computer science or equivalent work experience.
Bonus Points:
- Experience with Salesforce or other CRM solutions.
- Knowledge of SQL in a large scale data warehouse or data lakehouse environment such as Spark, Databricks, Presto/Athena/Trino.
- Some knowledge of Data Science/Machine Learning.
- Knowledge of data visualization tools like Tableau or Qlik Sense.
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. The expected base pay range for this position is:
See all 40+ Data Science Engineer at Intuit jobs
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Get Access To All JobsTips for Finding Data Science Engineer Jobs at Intuit Jobs
Align your portfolio to Intuit's product stack
Intuit's Data Science Engineer roles sit at the intersection of ML engineering and product analytics. Projects demonstrating experience with recommendation systems, fraud detection, or large-scale personalization map directly to what their hiring teams evaluate.
Verify your degree field matches specialty occupation criteria
USCIS requires your degree to directly relate to the role for H-1B approval. For Data Science Engineer positions, a degree in computer science, statistics, or applied mathematics is the safest foundation. A business degree alone rarely satisfies the specialty occupation standard.
Target Intuit's TurboTax and QuickBooks engineering teams
Intuit's two flagship product lines generate the highest volume of Data Science Engineer openings. Filtering your search by these business units surfaces roles with the clearest sponsorship pathways, since those teams have established headcount planning and visa filing workflows.
Use Migrate Mate to filter Intuit's open roles by visa type
Intuit sponsors multiple visa categories for Data Science Engineers. Migrate Mate lets you filter current openings by the visa types you hold or need, so you can prioritize applications to roles where your status is already supported.
Start the H-1B process before your OPT STEM extension expires
F-1 OPT STEM extensions give you 24 months of additional work authorization. If your lottery registration falls in the final year of that extension, a gap between OPT expiry and H-1B start date is possible. Discuss cap-gap coverage with your employer's immigration counsel early.
Confirm PERM sponsorship scope during the offer stage
Intuit sponsors EB-2 and EB-3 Green Cards, but PERM timelines at DOL currently run 12 to 18 months before USCIS review begins. Ask your recruiter explicitly whether the role includes an employer-sponsored Green Card as part of the compensation package before you sign.
Data Science Engineer at Intuit jobs are hiring across the US. Find yours.
Find Data Science Engineer at Intuit JobsFrequently Asked Questions
Does Intuit sponsor H-1B visas for Data Science Engineers?
Yes, Intuit sponsors H-1B visas for Data Science Engineer roles. The company participates in the annual H-1B lottery each April and covers associated filing fees as part of its standard immigration support. If you're on F-1 OPT, Intuit typically begins the H-1B registration process while you're still in your authorized period, and cap-gap rules protect your status if your OPT expires before October 1.
How do I apply for Data Science Engineer jobs at Intuit?
Applications go through Intuit's careers portal at intuit.com/careers. Search for Data Science Engineer roles and filter by location, since most positions are based in Mountain View, San Diego, or Atlanta. Tailor your resume to reflect ML engineering experience relevant to Intuit's product domains. You can also browse current openings filtered by visa type on Migrate Mate before applying directly through Intuit's site.
Which visa types does Intuit commonly use for Data Science Engineer roles?
Intuit sponsors H-1B, E-3, TN, and F-1 OPT and CPT for Data Science Engineer positions, and supports EB-2 and EB-3 Green Card sponsorship for longer-term employment. Australian citizens benefit from the E-3 category, which has no lottery and allows two-year renewable periods. Canadian and Mexican nationals may qualify under the TN category, which permits relatively fast processing at the port of entry.
What qualifications does Intuit look for in Data Science Engineer candidates?
Most Data Science Engineer roles at Intuit require a bachelor's degree or higher in computer science, statistics, or a closely related quantitative field. Practical experience with Python, Spark, and cloud-based ML infrastructure is consistently listed across job descriptions. Roles on product teams like TurboTax or QuickBooks often emphasize experimentation frameworks and A/B testing in addition to model deployment experience.
How long does the visa sponsorship process typically take for a Data Science Engineer at Intuit?
Timeline depends on visa type. H-1B sponsorship follows the April lottery cycle with an October 1 start date, so plan for a six-month gap between offer and start if you need a new cap-subject petition. E-3 and TN visas can often be processed within two to four weeks through consular appointments. PERM-based Green Card sponsorship through DOL takes 12 to 18 months before reaching USCIS, so the full EB-2 or EB-3 process spans several years for most applicants.
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