Analytics Engineer Jobs in USA with Visa Sponsorship
Analytics engineers have solid visa sponsorship prospects since the role sits at the intersection of data engineering and analytics, which employers can easily justify as a specialty occupation. H-1B is the standard path, and you'll find sponsorship at tech companies, large enterprises with data teams, and consulting firms. TN visas work for Canadians and Mexicans under the engineer or computer systems analyst category. Having experience with tools like dbt, SQL, and Python strengthens both your job prospects and your visa case. For detailed occupation requirements, see the O*NET profile.
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About Upstart
At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.
As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.
We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you.
If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you.
The Team
As a Senior Analytics Engineer at Upstart, you will design and develop robust and scalable data models for analytical stakeholders to empower them to retrieve meaningful insights. Our analytics engineering team is centralized within the company and partners closely with data engineering, data platform, software engineers, ML engineers and cross functional analytics squads to stitch together datasets to create data models that are ready for consumption.
In addition to architecting data models, we implement Analytics Engineering best practices around Data Governance, Data Quality, Data Orchestration and pipeline optimization. We enable analysts to think like software engineers by defining, documenting and ensuring adoption of best practices when making contributions to the analytical code-base.
Position Location - This role is available in the following locations: Remote, San Mateo, Columbus
Time Zone Requirements - The team operates in all US time zones.
Travel Requirements - This team has regular on-site collaboration sessions. These occur 3 days per quarter at an Upstart office. If you need to travel to make these meetups, Upstart will cover all travel related expenses.
How you’ll make an impact:
- Understand how data is produced and consumed at a deep level - you will need to be extremely collaborative with the teams that produce and consume the data to create an end-to-end solution that maximizes the value of our data
- Lead efforts to design data models and build curated data sets that are the foundation of reporting and analytics at Upstart
- Collaborate with data engineers and data platform teams to create analytics pipelines
- Meet consumers of data where they are by wearing an educator’s hat and training them on how to use BI tools and dashboards
- Be a close strategic partner to analytics squads to participate in decision making on the analytics road map for Upstart
What we’re looking for:
Minimum requirements:
- Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 4 years of experience
- Strong understanding of data modeling concepts in both transactional and analytical databases
- Proven ability to lead cross-team projects to create data models for analytics/reporting purposes
- Excellent communication and collaboration skills, particularly when explaining technical or complex matters to less technical co-workers
- Expertise in SQL, Python, and ETL optimization techniques
Preferred qualifications:
- Familiarity with business intelligence visualization tools such as Mode, Looker, Tableau, Power BI, etc.
- Experience creating curated data models using a data mesh architecture
- Experience with cloud computing platforms such as Amazon Web Services (AWS), Azure and/or Google Cloud
- Experience with building Looker data models (LookML), analytics engineering frameworks like dbt, orchestration tools like Airflow, schema design, and dimensional data modeling
- Thorough understanding of data lake/warehouse architectures (BigQuery, Databricks, Redshift)
At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).
United States | Remote - Anticipated Base Salary Range
$163,600—$226,400 USD
What you'll love
At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect:
- Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
- Generous 401(k) plan with Upstart matching $2 for every $1 contributed, up to $15,000 per year
- Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees
- Affordable medical, dental, and vision coverage, with multiple plan options - Upstart covers 90% to 100% of the cost depending on the plans you choose
- Health Savings Account contributions from Upstart for eligible plans
- Income protection benefits, including company-paid Basic Life, AD&D, and Short- and Long-Term Disability coverage, with options to purchase supplemental coverage
- Paid time off, sick and safe time, and company holidays
- Paid family and parental leave to support caregiving and major life moments
- Family-centered benefits through Carrot and Cleo, supporting fertility, parenthood, and caregiving
- Employee Assistance Program (EAP) offering mental health support and life-centered resources
- Financial wellness resources, including access to financial planning tools and a financial concierge service
- Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you
- Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from
- Connection and community through team events and onsites, all-company updates, and employee resource groups (ERGs)
- Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our four offices, located in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!).
Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com

How to Get Visa Sponsorship as an Analytics Engineer
Become proficient in dbt and the modern data stack
dbt is the core tool that defines the analytics engineer role. Learn dbt Cloud or dbt Core, including testing, documentation, and package management. Pairing dbt skills with Snowflake or BigQuery experience positions you for roles at companies that have adopted the modern data stack.
Target companies that have established analytics engineering teams
Companies like Spotify, GitLab, dbt Labs, HashiCorp, and JetBlue have publicly invested in analytics engineering functions. Tech companies, fintech firms, and data-mature startups are the most likely employers for this role and tend to have sponsorship-friendly hiring practices.
Master dimensional data modeling
Kimball dimensional modeling and activity schema design are foundational to the analytics engineer role. Employers expect you to design star and snowflake schemas that balance query performance with maintainability. Strong modeling skills are a key differentiator in technical interviews for this position.
Contribute to the dbt open-source community
The dbt community is unusually active and visible through dbt Community Slack, open-source packages, and blog posts. Publishing dbt packages, writing about data modeling patterns, or contributing to dbt documentation builds your professional reputation and can connect you with hiring managers at sponsoring companies.
Learn data quality and testing frameworks
Analytics engineers are responsible for data reliability. Experience with dbt tests, Great Expectations, or elementary-data makes you more attractive to employers who need someone to build trusted data pipelines. This testing expertise is harder to find domestically, which can strengthen the employer's case for sponsorship.
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Get Access To All JobsFrequently Asked Questions
What is an analytics engineer and do these roles get visa sponsorship?
Analytics engineers bridge the gap between data engineering and analytics by building the data models and transformation pipelines that analysts and data scientists rely on. This is a rapidly growing role at tech companies and data-driven organizations. Because it requires specialized skills in SQL, dbt, and data modeling, analytics engineer positions can qualify for H-1B sponsorship under computer occupation SOC codes.
What tools should I know for analytics engineer roles?
dbt (data build tool) is the defining tool of this role. Beyond dbt, you should be proficient in SQL, familiar with cloud data warehouses like Snowflake, BigQuery, or Databricks, and comfortable with version control using Git. Knowledge of data modeling techniques like Kimball dimensional modeling and data quality testing frameworks rounds out the expected skill set.
How does the analytics engineer role differ from data engineer for visa classification?
Both roles can qualify for H-1B under similar SOC codes, but their focus areas differ. Data engineers build infrastructure and pipelines to move and store data, while analytics engineers transform and model data specifically for analytical consumption. Analytics engineers work more closely with business stakeholders and typically require stronger SQL and business logic skills than traditional data engineers.
Can analytics engineers qualify for STEM OPT?
Yes, analytics engineer roles can qualify for STEM OPT if your degree is in a STEM-designated field such as computer science, data science, or information systems. The 24-month STEM extension provides up to 36 months of total work authorization, which is particularly valuable given that many companies prefer to evaluate analytics engineers on their data modeling work before initiating H-1B sponsorship.
What is the prevailing wage requirement for sponsored Analytics Engineer jobs?
When a U.S. employer sponsors a foreign worker for a work visa, they are legally required to pay at least the "prevailing wage" — the average wage paid to workers in the same occupation, in the same geographic area, with similar experience. This is set by the Department of Labor to prevent employers from hiring foreign workers at below-market rates. The prevailing wage varies significantly by role, location, and experience level — for example, a analytics engineer in California will have a different prevailing wage than the same role in a smaller state. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search.
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