Data Analytics Engineer Jobs in USA with Visa Sponsorship
Data analytics engineer roles are among the most consistently sponsored positions in the U.S. tech industry. Employers regularly file H-1B visa and O-1 petitions for this title, and a bachelor's degree in computer science, statistics, or a related field typically satisfies the specialty occupation requirement. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Envoy protects the places the world relies on most by unifying people, spaces, and communications in one secure, integrated workplace management platform and ecosystem. More than 16,000 workplaces around the world trust Envoy to run secure, compliant, and connected operations across every location. From manufacturing sites and data centers to life sciences labs, healthcare facilities, and corporate headquarters, Envoy unifies visitor management, risk assessment, mailroom management, digital signage software, resource booking, and emergency management into one integrated platform. With deep integrations across access control, identity, compliance screening, and collaboration tools—including LenelS2, Brivo, Genetec, Honeywell, Cisco Meraki, Okta, Microsoft Azure, Microsoft Teams, Slack, ServiceNow, DocuSign, Avigilon Alta, and Descartes Visual Compliance—Envoy helps organizations reduce risk, stay audit-ready, and operate with clarity at scale.
ABOUT THE ROLE
We are a top-notch data organization with a high bar for our code, systems, practices, and people. At Envoy, we don’t just "report" on data; we build the engine of the company. As a Senior Analytics Engineer, you are a "Full-stack" Data IC. You will treat our data assets as products—shipping reliable, high-quality data software. You will help build our Intelligence Platform, leveraging the power of our Semantic Layer, RAG, and MCP, to enable agentic self-service insights and autonomous intelligence. You'll also be a key partner to Product Teams, helping guide prioritization and feature development efforts by turning data into a strategic advantage. We have a modern data stack that includes Redshift, Databricks, dbt, Airflow, Omni, Segment, and Estuary.
This is an on-site position that requires 4 days a week (Monday - Thursday) in our San Francisco HQ.
YOUR ROLE AND RESPONSIBILITIES
- Develop the Intelligence Platform: Help build and scale our semantic layer and RAG infrastructure, ensuring our data is modeled for both human consumption and autonomous agentic workflows.
- Guide Product Strategy: Partner closely with Product teams to drive prioritization and feature development through deep-dive analysis, KPI definition, and robust data modeling.
- Support ML & Data Science Workflows: Build and maintain the data pipelines and feature sets required for machine learning models and advanced data science projects.
- Champion Engineering Rigor: Lead the team in applying software engineering best practices, including version control, CI/CD pipelines, and rigorous peer reviews.
- Mentor and Multiply: Act as a technical resource for the team, providing guidance on solution design and raising the bar for code quality and architectural intuition.
BASIC QUALIFICATIONS
- 5+ years of experience in Analytics Engineering, Data Science, or Data Engineering, with a strong track record in high-growth startups.
- Mastery of dbt & SQL: You write "software-grade" SQL and have managed complex, large-scale dbt projects.
- Python & AI Literacy: Proficient in Python for building ML workflows and interacting with LLM APIs and Vector Databases.
- Engineering Discipline: Hands-on experience with modern engineering workflows, including Git, CI/CD, and automated data testing.
PREFERRED QUALIFICATIONS
- Product Analytics Partnership: Proven experience working with Product teams to influence roadmap priorities and measure the success of feature releases.
- Agentic Workflows: Experience developing with or managing agentic workflows—understanding both the power and the limitations of autonomous loops.
- Modern Tooling & Streaming: Experience with MCP servers, real-time data movement via Estuary, or Streaming Analytics (e.g., Kafka, Flink).
- Vector DB Experience: Familiarity with OpenSearch or other vector stores for retrieval-augmented generation (RAG).
By applying for this position, you acknowledge that you have fully read and understand the job requirements and received the Envoy Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Envoy to process your application.
Envoy is an EEO Employer and does not discriminate on the basis of any characteristic protected by local, state or federal law.
INTRODUCTION
Envoy protects the places the world relies on most by unifying people, spaces, and communications in one secure, integrated workplace management platform and ecosystem. More than 16,000 workplaces around the world trust Envoy to run secure, compliant, and connected operations across every location. From manufacturing sites and data centers to life sciences labs, healthcare facilities, and corporate headquarters, Envoy unifies visitor management, risk assessment, mailroom management, digital signage software, resource booking, and emergency management into one integrated platform. With deep integrations across access control, identity, compliance screening, and collaboration tools—including LenelS2, Brivo, Genetec, Honeywell, Cisco Meraki, Okta, Microsoft Azure, Microsoft Teams, Slack, ServiceNow, DocuSign, Avigilon Alta, and Descartes Visual Compliance—Envoy helps organizations reduce risk, stay audit-ready, and operate with clarity at scale.
ABOUT THE ROLE
We are a top-notch data organization with a high bar for our code, systems, practices, and people. At Envoy, we don’t just "report" on data; we build the engine of the company. As a Senior Analytics Engineer, you are a "Full-stack" Data IC. You will treat our data assets as products—shipping reliable, high-quality data software. You will help build our Intelligence Platform, leveraging the power of our Semantic Layer, RAG, and MCP, to enable agentic self-service insights and autonomous intelligence. You'll also be a key partner to Product Teams, helping guide prioritization and feature development efforts by turning data into a strategic advantage. We have a modern data stack that includes Redshift, Databricks, dbt, Airflow, Omni, Segment, and Estuary.
This is an on-site position that requires 4 days a week (Monday - Thursday) in our San Francisco HQ.
YOUR ROLE AND RESPONSIBILITIES
- Develop the Intelligence Platform: Help build and scale our semantic layer and RAG infrastructure, ensuring our data is modeled for both human consumption and autonomous agentic workflows.
- Guide Product Strategy: Partner closely with Product teams to drive prioritization and feature development through deep-dive analysis, KPI definition, and robust data modeling.
- Support ML & Data Science Workflows: Build and maintain the data pipelines and feature sets required for machine learning models and advanced data science projects.
- Champion Engineering Rigor: Lead the team in applying software engineering best practices, including version control, CI/CD pipelines, and rigorous peer reviews.
- Mentor and Multiply: Act as a technical resource for the team, providing guidance on solution design and raising the bar for code quality and architectural intuition.
BASIC QUALIFICATIONS
- 5+ years of experience in Analytics Engineering, Data Science, or Data Engineering, with a strong track record in high-growth startups.
- Mastery of dbt & SQL: You write "software-grade" SQL and have managed complex, large-scale dbt projects.
- Python & AI Literacy: Proficient in Python for building ML workflows and interacting with LLM APIs and Vector Databases.
- Engineering Discipline: Hands-on experience with modern engineering workflows, including Git, CI/CD, and automated data testing.
PREFERRED QUALIFICATIONS
- Product Analytics Partnership: Proven experience working with Product teams to influence roadmap priorities and measure the success of feature releases.
- Agentic Workflows: Experience developing with or managing agentic workflows—understanding both the power and the limitations of autonomous loops.
- Modern Tooling & Streaming: Experience with MCP servers, real-time data movement via Estuary, or Streaming Analytics (e.g., Kafka, Flink).
- Vector DB Experience: Familiarity with OpenSearch or other vector stores for retrieval-augmented generation (RAG).
By applying for this position, you acknowledge that you have fully read and understand the job requirements and received the Envoy Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Envoy to process your application.
Envoy is an EEO Employer and does not discriminate on the basis of any characteristic protected by local, state or federal law.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Data Analytics Engineer
Target companies with a history of H-1B filings
Large tech companies, financial institutions, and healthcare analytics firms file H-1B petitions for data analytics engineers at high rates. Focusing your search on employers with consistent filing histories significantly improves your odds of securing sponsorship.
Emphasize your full data stack in applications
Employers sponsoring this role want candidates who can handle ingestion, transformation, and visualization end to end. Highlighting proficiency in tools like dbt, Spark, and Airflow signals the depth that justifies the time and cost of sponsorship.
Frame your degree in terms of specialty occupation
USCIS requires a specific degree nexus for H-1B approval. Explicitly connecting your degree in computer science, engineering, or statistics to the analytics engineering role strengthens the specialty occupation argument in your employer's petition.
Pursue roles at companies with cap-exempt status
Universities, nonprofit research organizations, and affiliated entities are exempt from the H-1B lottery cap. Data analytics engineers in academic medical centers or research institutions can receive H-1B approval at any point in the year without lottery risk.
Consider the O-1A if you have standout achievements
If you've published research, spoken at industry conferences, or led high-impact analytics projects, the O-1A visa may be a viable alternative. It bypasses the lottery entirely and is increasingly used by experienced data professionals with documented achievements.
Use Migrate Mate to filter for verified sponsoring employers
Not every job posting that sounds relevant will lead to sponsorship. Migrate Mate surfaces data analytics engineer roles from employers with confirmed sponsorship track records, saving you the time of applying to companies that won't support a visa petition.
Data Analytics Engineer jobs are hiring across the US. Find yours.
Find Data Analytics Engineer JobsFrequently Asked Questions
Does a data analytics engineer role qualify for H-1B sponsorship?
Yes, data analytics engineer is a well-established specialty occupation under H-1B criteria. USCIS expects a bachelor's degree or higher in computer science, statistics, information systems, or a closely related field. Roles requiring knowledge of data modeling, pipeline architecture, or statistical analysis typically satisfy the theoretical and practical application standard. Generic titles paired with vague job duties are more likely to face a request for evidence, so detailed job descriptions matter.
What degree do I need for an employer to sponsor me as a data analytics engineer?
A bachelor's degree in computer science, data science, statistics, mathematics, or information systems is the most defensible combination. Degrees in adjacent fields like economics or engineering can work if your coursework included quantitative methods and programming. USCIS evaluates whether the degree is in a specialty directly related to the role, so a business administration degree with no technical coursework is unlikely to qualify without additional credentials or a formal equivalency evaluation.
How competitive is H-1B sponsorship for data analytics engineers compared to other roles?
Data analytics engineer sits in a strong position. It's technical enough to have a clear degree requirement, which helps avoid RFEs, and demand from employers is high enough that many companies view sponsorship as a standard part of hiring for this title. The H-1B lottery still applies, so selection isn't guaranteed, but cap-exempt alternatives, OPT extension periods, and O-1A pathways mean there are multiple ways to stay authorized while pursuing a long-term visa.
Can I get sponsored as a data analytics engineer if my degree is in a non-technical field?
It's harder but not impossible. If your undergraduate degree is in a non-technical field, a master's in data science, computer science, or applied statistics can satisfy the specialty occupation requirement. Alternatively, USCIS allows three years of specialized work experience to substitute for one year of formal education, so significant hands-on experience building analytics infrastructure may compensate for a less technical degree when combined with relevant certifications.
Where can I find data analytics engineer jobs that offer visa sponsorship?
Migrate Mate is built specifically for this. It filters data analytics engineer roles by employers who have a documented history of filing H-1B or other work visa petitions, so you're not wasting applications on companies that won't sponsor. The platform is designed for international job seekers on OPT, H-1B, or other work authorization, and it focuses on roles where sponsorship is a realistic outcome rather than an afterthought.
What is the prevailing wage requirement for sponsored Data Analytics Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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