Python Engineer Jobs in USA with Visa Sponsorship
Python Engineers are among the most consistently sponsored roles in the U.S. tech industry. Employers regularly file H-1B visa and O-1 visa petitions for qualified candidates, and the role qualifies as a specialty occupation given its bachelor's degree requirement in computer science or a related field. For detailed occupation requirements, see the O*NET profile.
Find Python Engineer JobsOverview
Showing 5 of 19,254+ Python Engineer jobs
See all 19,254+ Python Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Python Engineer roles.
Get Access To All JobsINTRODUCTION
As a Senior Data Engineer, you will be responsible for breaking down data silos. This role focuses on building a unified, high-performance data layer using Data Federation techniques. You won't just move data; you will architect a Data Lakehouse environment where disparate sources feel like a single, cohesive database for our analytics and AI teams.
ROLE AND RESPONSIBILITIES
- Data Federation Architecture: Design and implement federated query layers (e.g., Starburst/Trino) to allow high-speed analytics across distributed data sources without unnecessary data movement.
- ETL/ELT Pipeline Development: Build scalable, distributed data processing pipelines using Python and Apache Spark (PySpark).
- Lakehouse Implementation: Manage and optimize modern table formats like Delta Lake, Apache Iceberg, or Hudi to bring ACID transactions to our data lake.
- Performance Tuning: Optimize Spark jobs and SQL queries across the federation layer to minimize latency and manage compute costs.
- Governance & Security: Implement fine-grained access control and data masking within the federation engine to ensure data privacy across all connected platforms.
BASIC QUALIFICATIONS
- Python & Spark: 5+ years of experience with Python and deep expertise in Apache Spark tuning (partitioning, shuffling, caching).
- Data Federation Tools: Hands-on experience with Starburst Enterprise, Trino (Presto), or Dremio.
- Lakehouse Ecosystem: Proven track record working with Delta Lake or Iceberg architectures.
- Cloud Platforms: Extensive experience with AWS (EMR, S3, Glue), Azure (Databricks, ADLS), or GCP.
- SQL Mastery: Expert-level SQL skills for complex analytical queries and query plan analysis.
- Data Modeling: Proficiency in designing Star/Snowflake schemas and understanding "Medallion Architecture" (Bronze, Silver, Gold layers).
PREFERRED QUALIFICATIONS
- Experience with Infrastructure as Code (IaC) like Terraform or Pulumi.
- Familiarity with dbt (data build tool) for modeling within the federation layer.
- Knowledge of Kubernetes (K8s) for deploying and scaling Spark/Trino clusters.
- Background in Data Mesh or Data Fabric methodologies.
COMPENSATION, BENEFITS AND DURATION
Minimum Compensation: USD 38,000
Maximum Compensation: USD 133,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors.
No applications will be considered if received more than 120 days after the date of this post.
INTRODUCTION
As a Senior Data Engineer, you will be responsible for breaking down data silos. This role focuses on building a unified, high-performance data layer using Data Federation techniques. You won't just move data; you will architect a Data Lakehouse environment where disparate sources feel like a single, cohesive database for our analytics and AI teams.
ROLE AND RESPONSIBILITIES
- Data Federation Architecture: Design and implement federated query layers (e.g., Starburst/Trino) to allow high-speed analytics across distributed data sources without unnecessary data movement.
- ETL/ELT Pipeline Development: Build scalable, distributed data processing pipelines using Python and Apache Spark (PySpark).
- Lakehouse Implementation: Manage and optimize modern table formats like Delta Lake, Apache Iceberg, or Hudi to bring ACID transactions to our data lake.
- Performance Tuning: Optimize Spark jobs and SQL queries across the federation layer to minimize latency and manage compute costs.
- Governance & Security: Implement fine-grained access control and data masking within the federation engine to ensure data privacy across all connected platforms.
BASIC QUALIFICATIONS
- Python & Spark: 5+ years of experience with Python and deep expertise in Apache Spark tuning (partitioning, shuffling, caching).
- Data Federation Tools: Hands-on experience with Starburst Enterprise, Trino (Presto), or Dremio.
- Lakehouse Ecosystem: Proven track record working with Delta Lake or Iceberg architectures.
- Cloud Platforms: Extensive experience with AWS (EMR, S3, Glue), Azure (Databricks, ADLS), or GCP.
- SQL Mastery: Expert-level SQL skills for complex analytical queries and query plan analysis.
- Data Modeling: Proficiency in designing Star/Snowflake schemas and understanding "Medallion Architecture" (Bronze, Silver, Gold layers).
PREFERRED QUALIFICATIONS
- Experience with Infrastructure as Code (IaC) like Terraform or Pulumi.
- Familiarity with dbt (data build tool) for modeling within the federation layer.
- Knowledge of Kubernetes (K8s) for deploying and scaling Spark/Trino clusters.
- Background in Data Mesh or Data Fabric methodologies.
COMPENSATION, BENEFITS AND DURATION
Minimum Compensation: USD 38,000
Maximum Compensation: USD 133,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors.
No applications will be considered if received more than 120 days after the date of this post.
See all 19,254+ Python Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Python Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Python Engineer
Target companies with H-1B filing history
Companies that have sponsored Python Engineers before are far more likely to do it again. Look for employers with consistent H-1B disclosure data in software engineering roles rather than cold-applying to firms with no sponsorship track record.
Frame your degree field carefully
H-1B specialty occupation requires a degree directly related to the role. Computer science, software engineering, and mathematics are clean fits. If your degree is in a different field, be prepared to explain the connection through coursework or a credential evaluation.
Highlight production-scale Python experience
Sponsors want engineers who have shipped real systems, not just scripted automation. Emphasize experience with frameworks like Django, FastAPI, or Flask, and production deployments on AWS, GCP, or Azure. This distinction matters during H-1B specialty occupation assessment.
Know your visa timeline before accepting offers
If you need an H-1B cap-subject petition, the October 1 start date is fixed. You cannot begin work before it activates. Cap-exempt employers like universities and nonprofits can file and start employment year-round, which is worth factoring into your job search.
Ask about premium processing upfront
Standard H-1B adjudication can take three to six months. Premium processing reduces this to roughly two to three weeks. Confirming whether your employer will use premium processing helps you plan your start date and avoid gaps in work authorization.
Use Migrate Mate to filter for verified sponsors
Not every job listing that mentions visa sponsorship will actually follow through. Migrate Mate surfaces Python Engineer roles from employers with documented sponsorship history, so you spend time applying to companies that have committed to the process before.
Frequently Asked Questions
Does a Python Engineer role qualify for H-1B sponsorship?
Yes. Python Engineer roles qualify as H-1B visa specialty occupations because the position normally requires at least a bachelor's degree in computer science, software engineering, or a closely related field. USCIS scrutinizes job descriptions closely, so employers typically document the technical complexity of the role, including system design responsibilities and language-specific requirements, to support the petition.
What degree do I need for a Python Engineer to get H-1B sponsorship?
A bachelor's degree in computer science, software engineering, information technology, or mathematics is the cleanest fit. Degrees in other STEM fields can work if you can demonstrate their direct relevance to the Python Engineer role through coursework or a credential evaluation. A three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for H-1B purposes.
How competitive is H-1B sponsorship for Python Engineers compared to other tech roles?
Python Engineers appear frequently in H-1B disclosure data because demand for the skill set is high across industries including fintech, healthcare technology, and cloud infrastructure. The H-1B lottery applies equally regardless of role, with a roughly 25% selection rate in recent years. However, Python Engineers working for cap-exempt employers such as universities or research institutions are not subject to the lottery.
Can I get sponsored as a Python Engineer without a traditional CS degree?
It is possible but harder. USCIS allows work experience to substitute for formal education in some cases, using a three-for-one rule where three years of relevant experience replaces one year of a bachelor's degree. However, this path invites more scrutiny and is employer-dependent. Some employers will not file H-1B petitions without a formal four-year degree, so it is worth confirming their requirements early.
Where can I find Python Engineer jobs that offer visa sponsorship?
Migrate Mate lists Python Engineer roles specifically from employers with verified sponsorship history. Searching general job boards often surfaces listings that mention sponsorship without the employer having ever filed a petition. Migrate Mate filters for companies that have documented H-1B or other work visa filings, which significantly improves your chances of reaching an offer that actually leads to a sponsored petition.
What is the prevailing wage requirement for sponsored Python 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.