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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Overview

Open Jobs19,187+
Top Visa TypeH-1B
Work Type68% On-site
Salary Range$146K – $211K
Top LocationNew York, NY
Most JobsApple

Showing 5 of 19,187+ analytics engineer jobs

Upstart
Senior Analytics Engineer
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Upstart
New 9h ago
Senior Analytics Engineer
Upstart
Remote
Data Science & Analytics
Data Engineering
Business Analysis
Data Science
Data Analytics
$163,600/yr - $226,400/yr
Remote (US)
4+ yrs exp.
Bachelor's
1,001-5,000

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TRM Labs
Senior Analytics Engineer
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TRM Labs
New 9h ago
Senior Analytics Engineer
TRM Labs
Washington DC-Baltimore Area
Data Science & Analytics
Data Engineering
Data Science
On-Site
8+ yrs exp.
None

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Netflix
Analytics Engineer
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Netflix
New 16h ago
Analytics Engineer
Netflix
Remote
Data Science & Analytics
Business Analysis
Data Science
Data Analytics
$330,000/yr - $566,000/yr
Remote (US)
5+ yrs exp.
None
5,001-10,000

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Viasat
Analytics Engineer
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Viasat
New 16h ago
Analytics Engineer
Viasat
Carlsbad, California
Data Science & Analytics
Data Engineering
Business Analysis
Data Science
$85,500/yr - $135,000/yr
On-Site
3+ yrs exp.
Bachelor's

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Daniels Health
Analytics Engineer
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Daniels Health
New 18h ago
Analytics Engineer
Daniels Health
Chicago, Illinois
Data Science & Analytics
Data Engineering
Business Analysis
Data Science
$85,395/yr - $105,195/yr
On-Site
3+ yrs exp.
None
1,001-5,000

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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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Frequently 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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