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Remote Python H1B Jobs in Texas (NOW HIRING)

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

... H1B, OPT, EAD, or CPT visas. Must-Have Experience * 7+ years of experience in data engineering or ... Strong programming skills in Python & SQL and at least one major data platform ( Snowflake ...

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Remote Python H1B information

What is the difference between Remote Python H1B vs Remote Data Analyst H1B?

AspectRemote Python H1BRemote Data Analyst H1B
Required CredentialsBachelor's in CS or related field, Python proficiency, H1B visaBachelor's in Statistics, Data Science, or related, data analysis skills, H1B visa
Work EnvironmentRemote software development teams, tech companiesRemote analytics teams, finance, healthcare, or tech sectors
Employer & Industry UsageTech firms, startups, companies needing automation & backendBusinesses analyzing data for insights, reporting, decision-making

Both roles often require a bachelor's degree and H1B visa sponsorship, but Remote Python H1B focuses on software development using Python, while Remote Data Analyst H1B emphasizes data analysis and visualization skills. The work environments are similar, typically remote teams within tech-driven industries.

What is a Remote Python H1B job?

A Remote Python H1B job refers to a position where a software developer, working primarily with the Python programming language, is employed by a U.S. company under the H1B visa program and is allowed to work remotely. The H1B visa enables U.S. employers to temporarily employ foreign workers in specialty occupations, such as software development. With the rise of remote work, some employers now allow H1B holders to work from locations outside the traditional office, as long as they comply with Department of Labor and USCIS regulations regarding worksite location reporting. However, any remote work arrangement must be carefully documented to maintain compliance with visa requirements.

What are the key skills and qualifications needed to thrive as a Remote Python Developer on an H1B visa, and why are they important?

To thrive as a Remote Python Developer on an H1B visa, you need strong proficiency in Python programming, experience with frameworks like Django or Flask, and a relevant degree in computer science or a related field. Familiarity with version control systems (such as Git), cloud platforms (like AWS or Azure), and knowledge of databases are typically expected, along with any relevant certifications. Excellent communication, problem-solving abilities, and self-motivation are key soft skills for effective remote work and collaboration across time zones. These skills and qualities are crucial for delivering high-quality code, meeting project deadlines, and succeeding in a distributed team environment.

What are the typical challenges of working as a Remote Python Developer on an H1B visa, and how can they be addressed?

As a Remote Python Developer on an H1B visa, you may face challenges such as coordinating across time zones, maintaining clear communication with your team, and ensuring compliance with visa and remote work regulations. It's important to establish a consistent work schedule that overlaps with your team's hours and to use collaboration tools effectively for regular check-ins and updates. Staying informed about legal requirements with your employer and consulting immigration specialists can help ensure your remote work stays compliant with H1B guidelines.
What are popular job titles related to Remote Python H1B jobs in Texas? For Remote Python H1B jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Python H1B jobs in Texas look for? The top searched job categories for Remote Python H1B jobs in Texas are:
What cities in Texas are hiring for Remote Python H1B jobs? Cities in Texas with the most Remote Python H1B job openings:
Remote Python H1B jobs near you
Senior Data Engineer, Data Platform

Senior Data Engineer, Data Platform

Virtasant

Austin, TX • On-site, Remote

$113K - $136K/yr

Full-time

Posted 2 days ago

Job description

About Virtasant
Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, infrastructure, migration, and optimization, helping enterprises scale efficiently while maintaining cost control.
Our clients range from Fortune 500 companies to fast-growing startups, relying on us to build high-performance infrastructure, optimize cloud environments, and enable continuous delivery at scale.
About the role
We're looking for a Senior Data Engineer to join us and work with our client's Data Platform team. Our client is a leading healthcare technology company, dedicated to transforming the patient and provider experience through innovative, data-driven solutions.
You will architect and build core services, automation tools, and integrations that power our client's data ecosystem. You'll own high-impact platform components, improve pipeline reliability and observability, and partner closely with data engineering, analytics, and DevOps to advance the scalability and developer experience of our client's data platform.
For this role, we can only consider candidates located in contiguous US states.
Also, we are only able to consider candidates who are either US citizens, or Green Card Holders, or sole proprietors of their own LLC company.
We are NOT able to consider candidates on any kind of visa that requires sponsorship, like STEM OPT, H4 EAD, F-1 OPT, L-2S, CPT, etc.
What You'll Do
  • Build Automation & Tooling: Develop scalable backend services, APIs, and internal tools to automate data platform workflows (e.g., data onboarding, validation, pipeline orchestration, schema tracking, quality monitoring).
  • Data Platform Integration: Integrate tools with core data infrastructure, building pipelines (Airflow, Spark, dbt, Kafka, Snowflake, or similar) to expose capabilities via APIs and UIs.
  • Observability & Governance: Build visualization and monitoring components for data lineage, job health, and quality metrics.
  • Collaboration: Work cross-functionally with data engineering, product, and DevOps teams to define requirements and deliver end-to-end solutions.

What We're Looking For
  • You have to live in the contiguous United States and have all the necessary documentation to work under an independent contractor agreement. We cannot offer sponsorships or sponsorship transfers, so unfortunately, we CANNOT consider candidates on H1B, OPT, EAD, or CPT visas.
Must-Have Experience
  • 7+ years of experience in data engineering or software development with at least 5 years building production-grade data or platform services
  • Strong programming skills in Python & SQL and at least one major data platform (Snowflake, BigQuery, Redshift, or similar)
  • Develop tooling for schema evolution, data contracts, and developer self-service
  • Deep experience with streaming, distributed compute, or S3-based table formats (Spark, Kafka, Iceberg/Delta/Hudi).
  • Experience with schema governance, metadata systems, and data quality frameworks.
  • Understanding of orchestration tools (Airflow, Dagster, Prefect, etc.)
  • Solid grasp of CI/CD and Docker
  • At least 2 years of experience in AWS
  • Experience with building data pipelines using dbt
Nice-to-haves
  • Experience with data observability, data catalog, or metadata management tools
  • Experience working with healthcare data (X12, FHIR)
  • Proven experience in data migration projects (legacy technologies to the latest technologies)
  • Experience building internal developer platforms or data portals
  • Understanding of authentication/authorization (OAuth2, JWT, SSO)

Our recruitment process
  • Recruiter interview (30 min)
  • Technical Interview (45 min)
  • Screening interview with the client's hiring manager (30 min)
  • Client technical interview (45 min)

We strive to move efficiently from step to step to make the recruitment process as fast as possible.
What we offer
  • Totally remote within the contiguous United States, full-time (40h/week)
  • Stable, long-term independent contract agreement
  • Work hours - US Eastern time office hours

Our team Software Engineering Locations USA Remote status Fully Remote

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