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Remote Python H1B Jobs (NOW HIRING)

CEDENT

DataPower Engineer (GC or US Citizen)

$40 - $60/hr

Full Remote! Duration: 3-12 month contract to hire (GC/ US Citizen / H1B Transfers) Need candidates ... Creating scripts from scratch in Python, Ansible, and Shell (Terraform is a big plus) * Ability to ...

NTENT

Senior DevOps Engineer (Remote)

$133K - $170K/yr

AT THIS TIME WE ARE NOT SPONSORING H1B CANDIDATES. We are looking for a Senior DevOps Engineer on a ... Python, PowerShell, Bash etc.) * Systems configuration management experience with automation tools ...

NTENT

Senior DevOps Engineer (Remote)

$133K - $170K/yr

AT THIS TIME WE ARE NOT SPONSORING H1B CANDIDATES. We are looking for a Senior DevOps Engineer on a ... Python, PowerShell, Bash etc.) * Systems configuration management experience with automation tools ...

ACI Infotech

DevOps Engineer

$54 - $74/hr

Remote Accepts H1B Transfer cases Key Skills: AWS, Azure Exp : Min 6+ Years Responsibilities * Will ... Python, JavaScript, etc. * Ability to evaluate the impact of security issues with respect to the ...

Purplejack Technologies LLC

Snowflake Engineer

New Haven, CT · On-site +1

$115K - $138K/yr

New Haven, CT (Preferred) OR Remote/Hybrid (Occasional travel once per month) Employment Type ... Proficiency in SQL and scripting languages such as Python and Shell scripting. * Experience with ...

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How much do remote python h1b jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for remote python h1b in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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.
More about Remote Python H1B jobs
What cities are hiring for Remote Python H1B jobs? Cities with the most Remote Python H1B job openings:
What are the most commonly searched types of Python H1B jobs? The most popular types of Python H1B jobs are:
What states have the most Remote Python H1B jobs? States with the most job openings for Remote Python H1B jobs include:
What job categories do people searching Remote Python H1B jobs look for? The top searched job categories for Remote Python H1B jobs are:
Remote Python H1B jobs near you
Infographic showing various Remote Python H1B job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 68% Full Time, 26% Part Time, 1% Temporary, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

AI Data Infrastructure Engineer

Bright Vision Technologies

Plano, TX • Remote

$110K - $132K/yr

Other

Posted 18 days ago

Job description

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
As we continue to grow, we’re looking for a skilled AI Data Infrastructure Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
 AI Data Infrastructure Engineer Job Title: AI Data Infrastructure Engineer
Location: 100% Remote (Continental United States)
Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Experience: 6+ years
Salary: 100k - 150k
Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap
Compensation: Competitive base salary commensurate with experience, plus benefits.
Employment Terms & Visa Policy
This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.
This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.
We do not engage in C2C, 1099, or third-party arrangements for this role.
BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
No new H1B sponsorship is available for this role.
However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.
For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.
Job Summary
We are seeking an AI Data Infrastructure Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.
Key Responsibilities
  • Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
  • Build ingestion systems for diverse modalities including text, image, audio, video, and structured signals.
  • Implement data cleaning, deduplication, filtering, and quality assurance at petabyte scale.
  • Develop dataset versioning, lineage, and provenance tracking systems suitable for reproducible training.
  • Build high-throughput data loading systems that maximize GPU utilization during training.
  • Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systems.
  • Design storage architectures balancing cost, throughput, and latency across data tiers.
  • Build evaluation dataset construction pipelines with strict integrity and contamination controls.
  • Implement data privacy, redaction, and consent enforcement throughout the pipeline.
  • Collaborate with ML researchers and engineers to align data systems with model development needs.
  • Drive observability of data quality, drift, and pipeline health across the AI data estate.
  • Optimize cost and performance through compression, format selection, and caching strategies.
  • Document data systems, schemas, and operational procedures for broad internal use.
  • Stay current with AI data infrastructure research and emerging open-source tools.

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of data engineering experience, with significant work supporting ML or AI workloads.
  • Strong proficiency in Python and at least one JVM or systems language.
  • Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
  • Hands-on experience operating petabyte-scale storage and pipeline systems.
  • Strong understanding of distributed systems, data modeling, and storage formats.
  • Experience with dataset versioning, lineage, and reproducibility for ML workflows.
  • Familiarity with high-throughput data loading for accelerator-based training.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.

Preferred Qualifications
  • Experience with multimodal datasets at large scale.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.
  • Experience supporting frontier model training pipelines.

How to Apply
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to harry@bvteck.com or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.
Position offered by “No Fee Agency.”

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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