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Data Science H1B Jobs (NOW HIRING)

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Duration: FULL TIME (Accepting H1B Transfer ) Location: Atlanta, GA - On-Site ... Advanced Analytics/Data Scientists tools: * Must Have: Google Analytics, FireBase, RStudio Server ...

Senior data scientist. * Research various analytical approaches * Recommend and develop ... H1B Transfer can also apply for this Full-Time & Permanent job position * No OPT-EAD candidates ...

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

On-Site Accepting H1B Transfer cases This role is a hands-on technical SME opportunity who will be ... Masters or Bachelor's degree in Computer Science or Information technology with specialization in ...

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

On-Site ( Atlanta, GA) Accepting H1B transfer cases This role is a hands-on technical SME ... Masters or Bachelor's degree in Computer Science or Information technology with specialization in ...

Data Analyst (Austin)

Austin, TX · On-site

$5.1K - $5.4K/mo

  • Medical

  • Retirement

  • PTO

YOU QUALIFY WITH: -One year of full-time experience in data science, business analytics, computer ... H1B visas or those currently on student or postgraduate visas In compliance with federal law, all ...

Data Analyst (Austin)

Austin, TX · On-site

$5.1K - $5.4K/mo

  • Medical

  • Retirement

  • PTO

YOU QUALIFY WITH: -One year of full-time experience in data science, business analytics, computer ... H1B visas or those currently on student or postgraduate visas In compliance with federal law, all ...

... Data Scientists, AI/ML Developers, DevOps Specialists, Automation Engineers, Infrastructure Engineers, Cloud Engineers, Database Engineers, Information Security Engineers, ERP Functional & Technical ...

Lead Data Scientist (5421)

Fort Washington, MD · On-site

$103K - $171K/yr

  • Medical

  • Retirement

  • PTO

SMX is seeking a Lead Data Scientist. How would you like to be part of a leadership team made up of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Collaborate with business analysts and data scientists in eliciting and articulating solution ... Salary Range: $ 115,000 - $ 145,000 H1B candidates, please apply Type of Employment: Exempt No ...

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Greetings from ACI ! Full Time: Accepting H1B Transfers Technical Skills * Expertise in SQL coding ... Master's or Bachelor's Degree with coursework focused on Data & Analytics, Data Science, Data ...

Showing results 21-40

Data Science H1B information

See salary details

$24K

$116.3K

$205.5K

How much do data science h1b jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data science h1b in the United States is $116,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data science H1B position, and why are they important?

To thrive as a Data Science H1B, you need a solid foundation in statistics, programming languages such as Python or R, and experience with machine learning algorithms, generally supported by a relevant degree in computer science, statistics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), cloud platforms (such as AWS or Azure), and certifications in data science or analytics are highly valued. Strong communication, problem-solving abilities, and the ability to work effectively in cross-functional teams are key soft skills. These attributes enable data scientists to extract actionable insights from data, communicate findings clearly, and contribute to impactful business decisions.

What are some typical challenges faced by data science professionals working on an H1B visa?

Data Science professionals on an H1B visa may encounter challenges such as adapting to new workplace cultures, managing high expectations for immediate impact, and staying current with rapidly evolving technologies. Collaboration across global teams and clear communication are essential, as projects often require input from various departments and stakeholders. Additionally, navigating the complexities of visa regulations while balancing career development can be demanding. However, many organizations provide robust support structures, mentorship, and training to help H1B employees thrive in their roles and advance their careers.

What is a data science H1B?

A Data Science H1B job refers to a data science position in the U.S. that is sponsored by an employer under the H1B visa program. This visa allows skilled foreign workers to temporarily work in specialized fields such as data science. Data scientists on H1B visas typically analyze large datasets, build machine learning models, and develop data-driven solutions for businesses. Employers must demonstrate that the role requires specialized knowledge and that the candidate meets the necessary qualifications.

More about Data Science H1B jobs
What cities are hiring for Data Science H1B jobs? Cities with the most Data Science H1B job openings:
What are the most commonly searched types of Data Science H1B jobs? The most popular types of Data Science H1B jobs are:
What states have the most Data Science H1B jobs? States with the most job openings for Data Science H1B jobs include:
Infographic showing various Data Science H1B job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,305 per year, or $55.9 per hour.

Azure Data Engineer

ACI Infotech

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Re-posted 11 days ago


Job description

Role: Data Engineer
Duration: FULL TIME (Accepting H1B Transfer )
Location: Atlanta, GA - On-Site ( Hybrid)
Job Description
Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and produce detailed data design documents, help translate business requirements to Technical requirements, be a SME for Azure Cloud and Databricks, bring Industry best practices to RT
Technical Skills, tools:
  • Azure Cloud technologies:
    • Must Have: ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,Azure DevOps:-Boards, Repos, Pipelines, Test Plans
  • Databases:
    • Must Have: SQL servers/SQL databases, MongoDB,
  • BI Platforms:
    • Must Have: Power BI, Power BI Premium,
  • Other MS tools:
    • Must Have: SSMS, SSIS, Visual Studio
  • Advanced Analytics/Data Scientists tools:
    • Must Have: Google Analytics, FireBase, RStudio Server, PyCharm
  • Programming Languages:
    • Must Have: SQL, JavaScript,
  • Agile tools:
    • Must Have: Azure DevOps,

Work Experience:
    • More than 10+ years of relevant experience in data engineering tools like Spark, Hadoop, Azure Data pipelines , Azure Data factory, Azure Data Lake Storage, Databricks, Delta Lake, Python, SQL Server, and experience with other cloud providers
    • Minimum 8 years of experience working in IT department with Data & Analytics responsibilities
    • 4+ years of hands-on programming experience (SQL, Python, Scala, Java, etc.,)
    • Expertise in creating streaming and batch workflows in Databricks Lakehouse using Pyspark and Spark SQL
    • Working experience with development and maintenance of data pipelines on the DataBricks platform in Azure
    • xpertise in creating parameterized streaming and batch data processing using Azure Synapse and Azure Data Factory
    • Experienced in delivering reporting solutions to stakeholders using tools like Power BI, Databricks SQL, Tableau and SSRS
    • Recent 4+ years of experience working as Sr. Data Engineer on Azure Cloud Platforms

Work Experience: (continued)
    • 4+ years of experience working on Data and Analytics projects in support of Marketing/Loyalty/Digital Customer Experience Use Cases
    • 2+ years of experience working with Google Analytics
    • 1+ years of experience working or at least exposure on any Customer Data Platform (e.g. Microsoft CI, Segment, Tealium, Treasure Data, Informatica, Exponea, SalesForce CDP, etc.,)
    • Experience working on Data & Analytics projects using Agile methodologies
    • Previous Retail, Convenience Store/Petroleum industry experience a plus
    • Previous experience working with Punchh Loyalty platform data is a huge plus

Education:
    • Masters or Bachelor's degree in Computer Science or Information technology with specialization in Data & Analytics, Data Science, Data Engineering or related fields.
    • Any one of the generic Cloud Platform certifications (AWS, Azure, GCP, etc.,)
    • Any one of the Data & Analytics certifications (Azure Fundamentals AZ-900, DP-200: Implementing an Azure Data Solution, DP-201: Designing an Azure Data Solution, DP-203: Data Engineering on Microsoft Azure, etc.,)