Data Contributor Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's data contributor job market is anchored by major employers in Philadelphia, Pittsburgh, and King of Prussia, including healthcare systems like UPMC and Jefferson Health, financial services firms, and technology companies. Organizations across life sciences, insurance, and higher education regularly sponsor visas for data contributor roles, making Pennsylvania a strong state for international candidates in this field.
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Data Engineer
Department: Product Development
Reports to: Senior Manager, Data Engineering
Suvoda is seeking a recent graduate with a passion for data and a strong technical foundation to join our Product Development team. This is an opportunity to launch a data engineering career at Suvoda — a global clinical trial technology company where your work directly helps advance human health.
As a Data Engineer, you’ll join a collaborative team building a modern, cloud-native data platform. You’ll help build domain-oriented data products using GraphQL APIs and contribute to near real-time reporting through AWS DMS replication to Aurora PostgreSQL.
Responsibilities:
- Assist in implementing a data mesh architecture using GraphQL APIs to expose domain-owned data products.
- Help build and maintain an AWS-based data lake using S3, Glue, Lake Formation, Athena, and Redshift.
- Develop and maintain ETL/ELT pipelines using AWS Glue and PySpark for batch and streaming data workloads.
- Support AWS DMS pipelines to replicate data into Aurora PostgreSQL for near real-time analytics.
- Follow best practices for data governance, quality, observability, and API design.
- Collaborate with product, engineering, and analytics teams to deliver reliable data solutions.
- Contribute to CI/CD and automation efforts for data infrastructure and pipelines.
- Stay curious — explore emerging tools and share ideas that could make our platform even better.
Requirements
- Bachelor’s degree in technical fields such as Computer Science or Mathematics.
- Strong foundational skills in Python and SQL — you’re comfortable writing queries and scripts from scratch.
- Academic or project experience with data engineering concepts: pipelines, data modeling, or ETL/ELT workflows.
- Exposure to cloud platforms, particularly AWS (coursework, personal projects, or internships all count).
- Familiarity with data structures, distributed systems, or database design — you understand the “why” behind the tools.
- A collaborative mindset and strong communication skills — you ask good questions and explain your thinking clearly.
- A genuine enthusiasm for data and a desire to keep learning in a fast-moving environment.
Nice to Have:
- Master’s degree or relevant certifications.
- Experience with event-driven architectures (e.g., Kafka, Kinesis).
- Familiarity with data cataloging and metadata management tools.
- Awareness of data privacy and compliance standards (e.g., GDPR, HIPAA).
- Exposure to agile development and DevOps practices.
We are aware that an individual(s) are fraudulently representing themselves as Suvoda recruiters and/or hiring managers. Suvoda will never request personal information such as your bank account number, credit card number, drivers license or social security number — or request payment from you — during the job application or interview process. Any emails from the Suvoda recruiting team will come from a @suvoda.com email address. You can learn more about these types of fraud by referring to this FTC consumer alert.
As set forth in Suvoda’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
If you are based in California, we encourage you to read this important information for California residents linked here.

Data Engineer
Department: Product Development
Reports to: Senior Manager, Data Engineering
Suvoda is seeking a recent graduate with a passion for data and a strong technical foundation to join our Product Development team. This is an opportunity to launch a data engineering career at Suvoda — a global clinical trial technology company where your work directly helps advance human health.
As a Data Engineer, you’ll join a collaborative team building a modern, cloud-native data platform. You’ll help build domain-oriented data products using GraphQL APIs and contribute to near real-time reporting through AWS DMS replication to Aurora PostgreSQL.
Responsibilities:
- Assist in implementing a data mesh architecture using GraphQL APIs to expose domain-owned data products.
- Help build and maintain an AWS-based data lake using S3, Glue, Lake Formation, Athena, and Redshift.
- Develop and maintain ETL/ELT pipelines using AWS Glue and PySpark for batch and streaming data workloads.
- Support AWS DMS pipelines to replicate data into Aurora PostgreSQL for near real-time analytics.
- Follow best practices for data governance, quality, observability, and API design.
- Collaborate with product, engineering, and analytics teams to deliver reliable data solutions.
- Contribute to CI/CD and automation efforts for data infrastructure and pipelines.
- Stay curious — explore emerging tools and share ideas that could make our platform even better.
Requirements
- Bachelor’s degree in technical fields such as Computer Science or Mathematics.
- Strong foundational skills in Python and SQL — you’re comfortable writing queries and scripts from scratch.
- Academic or project experience with data engineering concepts: pipelines, data modeling, or ETL/ELT workflows.
- Exposure to cloud platforms, particularly AWS (coursework, personal projects, or internships all count).
- Familiarity with data structures, distributed systems, or database design — you understand the “why” behind the tools.
- A collaborative mindset and strong communication skills — you ask good questions and explain your thinking clearly.
- A genuine enthusiasm for data and a desire to keep learning in a fast-moving environment.
Nice to Have:
- Master’s degree or relevant certifications.
- Experience with event-driven architectures (e.g., Kafka, Kinesis).
- Familiarity with data cataloging and metadata management tools.
- Awareness of data privacy and compliance standards (e.g., GDPR, HIPAA).
- Exposure to agile development and DevOps practices.
We are aware that an individual(s) are fraudulently representing themselves as Suvoda recruiters and/or hiring managers. Suvoda will never request personal information such as your bank account number, credit card number, drivers license or social security number — or request payment from you — during the job application or interview process. Any emails from the Suvoda recruiting team will come from a @suvoda.com email address. You can learn more about these types of fraud by referring to this FTC consumer alert.
As set forth in Suvoda’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
If you are based in California, we encourage you to read this important information for California residents linked here.
Data Contributor Job Roles in Pennsylvania
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Search Data Contributor Jobs in PennsylvaniaData Contributor Jobs in Pennsylvania: Frequently Asked Questions
Which companies in Pennsylvania sponsor visas for data contributor roles?
Healthcare and life sciences employers are among the most active visa sponsors for data contributors in Pennsylvania. UPMC, Jefferson Health, and Independence Blue Cross in Philadelphia, along with financial services firms and technology companies in Pittsburgh and the Philadelphia suburbs, have histories of sponsoring H-1B and other work visas. Pennsylvania's large university research sector also employs data contributors under sponsored arrangements.
Which visa types are most common for data contributor jobs in Pennsylvania?
The H-1B is the most common visa category for data contributor roles in Pennsylvania, provided the position qualifies as a specialty occupation requiring a bachelor's degree or higher in a relevant field such as computer science, information systems, or statistics. Candidates already holding OPT or STEM OPT authorization through Pennsylvania universities often transition into employer-sponsored H-1B status from these roles.
Which cities in Pennsylvania have the most data contributor sponsorship jobs?
Philadelphia and Pittsburgh account for the majority of data contributor sponsorship opportunities in Pennsylvania. Philadelphia's concentration of health systems, financial institutions, and consulting firms drives consistent demand. Pittsburgh has grown significantly as a technology and AI hub, with companies like Google, Uber, and Carnegie Mellon University affiliates hiring data contributors. The King of Prussia and Malvern corridor in the Philadelphia suburbs also has notable activity in life sciences and technology.
How to find data contributor visa sponsorship jobs in Pennsylvania?
Migrate Mate is built specifically for international candidates seeking visa sponsorship, and filters jobs by role and state so you can browse data contributor openings in Pennsylvania directly. Rather than sorting through general job boards that don't distinguish between sponsoring and non-sponsoring employers, Migrate Mate surfaces roles where sponsorship is part of the hiring picture, saving time for candidates on OPT, H-1B, or other work authorization.
Are there state-specific or role-specific factors that affect data contributor hiring in Pennsylvania?
Pennsylvania's concentration of UPMC, major insurers, and pharmaceutical companies near Philadelphia means many data contributor roles are tied to healthcare data, claims processing, or clinical research pipelines, which can shape degree and experience expectations. Employers filing H-1B petitions must meet Department of Labor prevailing wage requirements, and Pennsylvania's wage levels for data-focused roles vary meaningfully between Philadelphia metro and more rural parts of the state. Carnegie Mellon and Penn State also serve as active pipelines for international candidates entering this field.
What is the prevailing wage for sponsored data contributor jobs in Pennsylvania?
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.
See which data contributor employers are hiring and sponsoring visas in Pennsylvania right now.
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