Analytics Engineer Jobs at Intuit with Visa Sponsorship
Intuit hires Analytics Engineers to build and maintain the data infrastructure that powers products used by millions. The company has a consistent track record of sponsoring work visas across multiple categories for this function, making it a realistic target for international candidates with strong data engineering skills.
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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 38+ Analytics Engineer at Intuit jobs
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Get Access To All JobsTips for Finding Analytics Engineer Jobs at Intuit Jobs
Tailor your portfolio to Intuit's data stack
Intuit's Analytics Engineering roles emphasize dbt, Snowflake, and Looker. Before applying, make sure your portfolio or GitHub demonstrates hands-on work with these tools, not just familiarity. Generic SQL projects won't differentiate you in their screening process.
Target roles flagged for multiple visa types
Intuit files across H-1B, E-3, TN, and F-1 OPT categories for Analytics Engineers. When browsing listings, prioritize roles where the job description references relocation support or global candidates, which signals active sponsorship intent rather than case-by-case consideration.
Use Migrate Mate to surface open Analytics Engineer roles
Intuit posts Analytics Engineer openings across multiple teams and product lines, and listings move quickly. Use Migrate Mate to filter for Intuit roles that match your visa type so you're applying to positions where sponsorship is already confirmed.
Align your degree field to the specialty occupation standard
USCIS requires that your degree field directly relate to the Analytics Engineer role for H-1B eligibility. A degree in Computer Science, Statistics, or Information Systems maps cleanly. A business degree with no technical coursework can trigger a Request for Evidence, so document your relevant coursework upfront.
Start OPT applications before your program ends
If you're on F-1, file your OPT EAD application with USCIS up to 90 days before graduation. Intuit's hiring timelines for Analytics Engineers often run six to ten weeks from offer to start date, so gaps in work authorization can delay or complicate onboarding.
Clarify sponsorship scope during the offer stage
Before signing, confirm whether Intuit's offer covers just the initial H-1B petition or also includes Green Card sponsorship through EB-2 or EB-3 PERM. Many candidates assume Green Card support is automatic. Getting this in writing prevents surprises two or three years into the role.
Analytics Engineer at Intuit jobs are hiring across the US. Find yours.
Find Analytics Engineer at Intuit JobsFrequently Asked Questions
Does Intuit sponsor H-1B visas for Analytics Engineers?
Yes, Intuit sponsors H-1B visas for Analytics Engineers. The company has an established immigration program that handles petitions across multiple visa categories for technical roles. Because Analytics Engineering qualifies as a specialty occupation under USCIS standards, H-1B is one of the primary pathways Intuit uses to bring on international candidates for this function.
How do I apply for Analytics Engineer jobs at Intuit?
Apply directly through Intuit's careers site or use Migrate Mate to find open Analytics Engineer roles at Intuit filtered by your visa type. Intuit's process typically involves a recruiter screen, a technical assessment focused on SQL and data modeling, and panel interviews covering both technical skills and cross-functional collaboration. Tailoring your resume to reflect experience with tools like dbt and Snowflake improves your chances of clearing the initial screen.
Which visa types does Intuit commonly use for Analytics Engineer roles?
Intuit sponsors across several categories for Analytics Engineers, including H-1B, E-3 for Australian citizens, TN for Canadian and Mexican nationals, and F-1 OPT and CPT for students currently enrolled in U.S. degree programs. For longer-term pathways, Intuit also supports EB-2 and EB-3 Green Card sponsorship for employees in this function, though that typically begins after a candidate is already on staff.
What qualifications does Intuit expect for Analytics Engineer roles?
Intuit typically looks for a bachelor's degree or higher in Computer Science, Statistics, Engineering, or a related technical field. Beyond the degree, strong SQL skills, experience with data modeling, and familiarity with modern data stack tools like dbt, Snowflake, or BigQuery are expected. Senior-level roles often require experience collaborating with data scientists and product managers to translate business requirements into scalable data pipelines.
How do I plan my timeline around H-1B sponsorship at Intuit?
The H-1B cap lottery opens each March for an October 1 start date, which means timing your offer with Intuit matters significantly. If you're on OPT, confirm whether you qualify for the 24-month STEM extension, which gives you more runway before needing a cap-subject H-1B. USCIS premium processing can reduce petition adjudication to about 15 business days, which Intuit commonly uses for new hires who need confirmed status before their start date.
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