Data Engineer Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's data engineer job market spans financial services firms in Philadelphia, healthcare and insurance technology in the suburbs, and a growing tech sector anchored by Pittsburgh. Major employers including Comcast, SEI Investments, UPMC, and Highmark have established sponsorship track records, making Pennsylvania a practical destination for international data engineers seeking H-1B visa and other work visas.
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Get Access To All JobsMust Have Technical/Functional Skills
- Python, Glue ETL, Attunity, Pyspark, AWS (S3, IAM, Lambda, Cloud Formation)
Roles & Responsibilities
- Design, develop, and maintain scalable ETL/data integration pipelines using AWS Glue, PySpark, and Python.
- Develop and optimize data transformation workflows to process large datasets from multiple source systems.
- Utilize Attunity for real-time and batch data replication between on-premises and cloud environments.
- Build and manage data lakes and storage solutions using Amazon S3, ensuring data quality, security, and governance.
- Implement serverless data processing solutions using AWS Lambda and integrate with other AWS services.
- Configure and manage IAM roles, policies, and permissions to ensure secure access to AWS resources.
- Automate infrastructure provisioning and deployment using AWS CloudFormation.
- Monitor, troubleshoot, and optimize ETL jobs, data pipelines, and cloud resources for performance and reliability.
- Collaborate with business, analytics, and application teams to gather requirements and deliver data solutions.
- Support CI/CD processes, perform code reviews, and maintain technical documentation following best practices.
Generic Managerial Skills, If any
- Planning & Execution – Effectively prioritize tasks, estimate effort, and ensure timely delivery of project milestones while balancing multiple commitments.
- Stakeholder Management – Build strong relationships with business teams, clients, and leadership through proactive communication and expectation management.
- Communication – Convey technical and non-technical information clearly through meetings, presentations, documentation, and status updates.
- Collaboration – Foster teamwork across cross-functional groups, encourage knowledge sharing, and contribute to a positive team environment.
- Decision Making – Analyze options, assess risks, and make informed decisions that align with both technical and business objectives.
- Leadership & Ownership – Take accountability for deliverables, drive initiatives proactively, and lead by example to achieve team goals.
- Risk & Issue Management – Identify potential risks early, address blockers proactively, and implement mitigation strategies to ensure smooth project execution.
- Customer & Business Focus – Understand customer needs and business priorities, ensuring technical solutions deliver measurable value.
- Mentoring & Coaching – Support team growth through guidance, code reviews, knowledge sharing, and skill development initiatives.
- Project & Change Management – Adapt effectively to evolving requirements, manage priorities during change, and ensure successful delivery outcomes.
TCS Employee Benefits Summary:
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $120,000-$130,000 a year
Location
Malvern, PA
Job Function
TECHNOLOGY
Role
Engineer
Job Id
421847
Desired Skills
AWS | Python
Desired Candidate Profile
Qualifications: BACHELOR OF COMPUTER SCIENCE
Must Have Technical/Functional Skills
- Python, Glue ETL, Attunity, Pyspark, AWS (S3, IAM, Lambda, Cloud Formation)
Roles & Responsibilities
- Design, develop, and maintain scalable ETL/data integration pipelines using AWS Glue, PySpark, and Python.
- Develop and optimize data transformation workflows to process large datasets from multiple source systems.
- Utilize Attunity for real-time and batch data replication between on-premises and cloud environments.
- Build and manage data lakes and storage solutions using Amazon S3, ensuring data quality, security, and governance.
- Implement serverless data processing solutions using AWS Lambda and integrate with other AWS services.
- Configure and manage IAM roles, policies, and permissions to ensure secure access to AWS resources.
- Automate infrastructure provisioning and deployment using AWS CloudFormation.
- Monitor, troubleshoot, and optimize ETL jobs, data pipelines, and cloud resources for performance and reliability.
- Collaborate with business, analytics, and application teams to gather requirements and deliver data solutions.
- Support CI/CD processes, perform code reviews, and maintain technical documentation following best practices.
Generic Managerial Skills, If any
- Planning & Execution – Effectively prioritize tasks, estimate effort, and ensure timely delivery of project milestones while balancing multiple commitments.
- Stakeholder Management – Build strong relationships with business teams, clients, and leadership through proactive communication and expectation management.
- Communication – Convey technical and non-technical information clearly through meetings, presentations, documentation, and status updates.
- Collaboration – Foster teamwork across cross-functional groups, encourage knowledge sharing, and contribute to a positive team environment.
- Decision Making – Analyze options, assess risks, and make informed decisions that align with both technical and business objectives.
- Leadership & Ownership – Take accountability for deliverables, drive initiatives proactively, and lead by example to achieve team goals.
- Risk & Issue Management – Identify potential risks early, address blockers proactively, and implement mitigation strategies to ensure smooth project execution.
- Customer & Business Focus – Understand customer needs and business priorities, ensuring technical solutions deliver measurable value.
- Mentoring & Coaching – Support team growth through guidance, code reviews, knowledge sharing, and skill development initiatives.
- Project & Change Management – Adapt effectively to evolving requirements, manage priorities during change, and ensure successful delivery outcomes.
TCS Employee Benefits Summary:
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $120,000-$130,000 a year
Location
Malvern, PA
Job Function
TECHNOLOGY
Role
Engineer
Job Id
421847
Desired Skills
AWS | Python
Desired Candidate Profile
Qualifications: BACHELOR OF COMPUTER SCIENCE
Data Engineer Job Roles in Pennsylvania
See all 51+ Data Engineer Jobs in Pennsylvania
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Search Data Engineer Jobs in PennsylvaniaData Engineer Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for data engineers in Pennsylvania?
Comcast and Comcast Technology Solutions in Philadelphia are among the most active sponsors, alongside financial services firms like SEI Investments and Vanguard. In Pittsburgh, companies including Duolingo, Argo AI alumni-founded startups, and UPMC Health System have sponsored data engineering roles. Consulting firms such as Deloitte and Accenture, which maintain large Pennsylvania offices, also file H-1B petitions for data engineers regularly.
Which visa types are most common for data engineer roles in Pennsylvania?
The H-1B is the most common visa category for data engineers in Pennsylvania, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Some international candidates also enter through OPT or STEM OPT extensions after graduating from Pennsylvania universities, which can bridge the gap while an employer files an H-1B petition.
How to find data engineer visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search data engineer roles in Pennsylvania without sifting through positions that don't support international candidates. The platform surfaces openings from employers with established sponsorship histories in cities like Philadelphia and Pittsburgh, which is particularly useful given how inconsistently companies disclose sponsorship willingness in standard job postings.
Which cities in Pennsylvania have the most data engineer sponsorship jobs?
Philadelphia accounts for the largest share of data engineer sponsorship activity in Pennsylvania, driven by its concentration of financial services, insurance, and media companies. Pittsburgh has grown significantly as a technical hub, with strength in AI research, autonomous systems, and healthcare informatics. The Philadelphia suburbs, particularly the Route 202 corridor in King of Prussia and Malvern, also host substantial technology operations for firms like Vanguard and SAP.
Are there any Pennsylvania-specific considerations for data engineers seeking visa sponsorship?
Pennsylvania has a strong university pipeline, with Carnegie Mellon University, Penn State, and Drexel University producing significant numbers of international graduate students in data and computer science fields. Many Pennsylvania employers are familiar with sponsoring graduates from these programs. Data engineering roles in the state's dominant industries, including healthcare, financial services, and insurance technology, often require familiarity with regulated data environments, which can strengthen a sponsorship case by demonstrating specialized, non-easily-sourced expertise.
What is the prevailing wage for sponsored data engineer 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.