Cloud Data Engineer Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's cloud data engineer market is anchored by major employers in Philadelphia and Pittsburgh, including Comcast, Vanguard, Carnegie Mellon University's research affiliates, and a growing cluster of healthcare technology firms. Companies in financial services, insurance, and life sciences regularly file H-1B petitions for cloud data engineering roles across the state.
See All Cloud Data Engineer JobsOverview
Showing 5 of 107+ Cloud Data Engineer Jobs in Pennsylvania with Visa Sponsorship jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 107+ Cloud Data Engineer Jobs in Pennsylvania with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud Data Engineer Jobs in Pennsylvania with Visa Sponsorship.
Get Access To All JobsWork Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
When you are part of the team at Thermo Fisher Scientific, you’ll do important work, like helping customers in finding cures for cancer, protecting the environment or making sure our food is safe. Your work will have real-world impact, and you’ll be supported in achieving your career goals.
How will you make an impact?
Thermo Fisher Scientific is seeking a Data Engineer located at Pittsburgh, PA to work with Data Science Center of Excellence and Data Architecture team to build Databricks-based Data Pipeline and bring data onto our enterprise level data platform for Data Science, Analytics and Digital Marketing needs. The data platform is primarily based on Oracle Exadata database, AWS Redshift and Databricks-based Delta and Unity Catalog technologies toward Lakehouse transition to enable Data Science, Data Analytics, Customer Analytics and Data Services for critical Application and Business enablement.
What will you do?
- Design, develop, test, deploy, support, enhance data integration solutions seamlessly to connect and integrate Thermo Fisher enterprise systems in our Data Science and Enterprise Data Platform.
- Innovate for data integration in Apache Spark-based Platform to ensure the technology solutions leverage cutting edge integration capabilities.
- Facilitate requirements gathering and process mapping workshops, review business/functional requirement documents, author technical design documents, testing plans and scripts.
- Assist with implementing standard operating procedures, facilitate review sessions with functional owners and end-user representatives, and leverage technical knowledge and expertise to drive improvements.
- Defining, designing and documenting reference architecture and leading the implementation of BI and analytical solutions.
- Follow agile development methodologies to deliver solutions and product features by following DevOps practices.
How will you get here?
- 4-year degree with major in computer science engineering (or equivalent).
Experience, Knowledge, Skills, Abilities
- 6+ Years Experience in Databricks, Data/Delta lake/Unity Catalog, Oracle, SQL Server or AWS Redshift type relational databases.
- Experience in ETL (Data extraction, data transformation and data load processes).
- 6+ years working experience in data integration and pipeline development.
- Excellent experience in Databricks and Apache Spark.
- Data lake and Delta lake and Unity Catalog experience with AWS Glue and Athena.
- 6+ years of Experience with AWS Cloud on data integration with Apache Spark, Glue, Kafka, Elastic Search, Lambda, S3, Redshift, RDS, MongoDB/DynamoDB ecosystems.
- Strong real-life experience in python development especially in pySpark in AWS Cloud environment.
- Design, develop test, deploy, maintain and improve data integration pipeline.
- Experience in Python and common python libraries.
- Knowledge of Generative AI models (e.g., GPT, DALL-E) and their potential applications in data engineering and analytics.
- Strong analytical experience with database in writing complex queries, query optimization, debugging, user defined functions, views, indexes etc.
- Strong experience with source control systems such as Git and Jenkins build and continuous integration tools.
- Highly self-driven, execution-focused, with a willingness to do "what it takes” to deliver results as you will be expected to rapidly cover a considerable amount of demands on data integration.
- Understanding of development methodology and actual experience writing functional and technical design specifications.
- Must be willing to learn Generative AI.
- 20% of supporting Activities along with Dev work.
- Excellent verbal and written communication skills, in person, by telephone, and with large teams.
- Strong prior technical, development background in either data Services or Engineering.
- Demonstrated experience resolving complex data integration problems.
- Must be able to work cross-functionally. Above all else, must be equal parts data-driven and results-driven.
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
When you are part of the team at Thermo Fisher Scientific, you’ll do important work, like helping customers in finding cures for cancer, protecting the environment or making sure our food is safe. Your work will have real-world impact, and you’ll be supported in achieving your career goals.
How will you make an impact?
Thermo Fisher Scientific is seeking a Data Engineer located at Pittsburgh, PA to work with Data Science Center of Excellence and Data Architecture team to build Databricks-based Data Pipeline and bring data onto our enterprise level data platform for Data Science, Analytics and Digital Marketing needs. The data platform is primarily based on Oracle Exadata database, AWS Redshift and Databricks-based Delta and Unity Catalog technologies toward Lakehouse transition to enable Data Science, Data Analytics, Customer Analytics and Data Services for critical Application and Business enablement.
What will you do?
- Design, develop, test, deploy, support, enhance data integration solutions seamlessly to connect and integrate Thermo Fisher enterprise systems in our Data Science and Enterprise Data Platform.
- Innovate for data integration in Apache Spark-based Platform to ensure the technology solutions leverage cutting edge integration capabilities.
- Facilitate requirements gathering and process mapping workshops, review business/functional requirement documents, author technical design documents, testing plans and scripts.
- Assist with implementing standard operating procedures, facilitate review sessions with functional owners and end-user representatives, and leverage technical knowledge and expertise to drive improvements.
- Defining, designing and documenting reference architecture and leading the implementation of BI and analytical solutions.
- Follow agile development methodologies to deliver solutions and product features by following DevOps practices.
How will you get here?
- 4-year degree with major in computer science engineering (or equivalent).
Experience, Knowledge, Skills, Abilities
- 6+ Years Experience in Databricks, Data/Delta lake/Unity Catalog, Oracle, SQL Server or AWS Redshift type relational databases.
- Experience in ETL (Data extraction, data transformation and data load processes).
- 6+ years working experience in data integration and pipeline development.
- Excellent experience in Databricks and Apache Spark.
- Data lake and Delta lake and Unity Catalog experience with AWS Glue and Athena.
- 6+ years of Experience with AWS Cloud on data integration with Apache Spark, Glue, Kafka, Elastic Search, Lambda, S3, Redshift, RDS, MongoDB/DynamoDB ecosystems.
- Strong real-life experience in python development especially in pySpark in AWS Cloud environment.
- Design, develop test, deploy, maintain and improve data integration pipeline.
- Experience in Python and common python libraries.
- Knowledge of Generative AI models (e.g., GPT, DALL-E) and their potential applications in data engineering and analytics.
- Strong analytical experience with database in writing complex queries, query optimization, debugging, user defined functions, views, indexes etc.
- Strong experience with source control systems such as Git and Jenkins build and continuous integration tools.
- Highly self-driven, execution-focused, with a willingness to do "what it takes” to deliver results as you will be expected to rapidly cover a considerable amount of demands on data integration.
- Understanding of development methodology and actual experience writing functional and technical design specifications.
- Must be willing to learn Generative AI.
- 20% of supporting Activities along with Dev work.
- Excellent verbal and written communication skills, in person, by telephone, and with large teams.
- Strong prior technical, development background in either data Services or Engineering.
- Demonstrated experience resolving complex data integration problems.
- Must be able to work cross-functionally. Above all else, must be equal parts data-driven and results-driven.
Cloud Data Engineer Job Roles in Pennsylvania
See all 107+ Cloud Data Engineer Jobs in Pennsylvania
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Cloud Data Engineer Jobs in PennsylvaniaCloud Data Engineer Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for cloud data engineers in Pennsylvania?
Comcast and Vanguard are among the most active H-1B sponsors for technical roles in Pennsylvania, with Philadelphia serving as a major hub. Pittsburgh draws sponsoring employers in healthcare technology, autonomous systems, and academic research, including UPMC and companies connected to Carnegie Mellon's technology ecosystem. Financial services and insurance firms headquartered in the Philadelphia suburbs also file regularly for cloud data engineering positions.
Which visa types are most common for cloud data engineer roles in Pennsylvania?
The H-1B is the most common visa category for cloud 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 candidates enter through OPT or STEM OPT extensions before employer-sponsored H-1B petitions. Multinational employees may also transfer through the L-1B for specialized knowledge workers.
Which cities in Pennsylvania have the most cloud data engineer sponsorship jobs?
Philadelphia generates the largest share of cloud data engineer sponsorship activity in Pennsylvania, driven by its concentration of financial services, healthcare, and media technology employers. Pittsburgh is a strong second, with sponsoring employers in autonomous vehicle research, healthcare IT, and university-affiliated technology companies. Harrisburg and Allentown see smaller but consistent demand, primarily from insurance and regional financial services firms.
How to find cloud data engineer visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it practical to search for cloud data engineer roles in Pennsylvania without manually screening hundreds of postings. You can narrow results by location to target Philadelphia, Pittsburgh, or other Pennsylvania cities. Migrate Mate surfaces roles from employers that have demonstrated sponsorship history, which is particularly relevant in competitive markets like cloud data engineering.
Are there state-specific factors that affect cloud data engineer visa sponsorship in Pennsylvania?
Pennsylvania's strong university pipeline, particularly from Carnegie Mellon, the University of Pennsylvania, and Penn State, means many employers in the state have established processes for sponsoring international graduates into cloud data engineering roles. The state's healthcare IT sector is a notable hiring driver, with large health systems treating cloud infrastructure and data engineering as critical functions. Employers filing H-1B petitions must meet Department of Labor prevailing wage requirements specific to the Philadelphia or Pittsburgh metropolitan areas, which affect the positions they're willing to sponsor.
What is the prevailing wage for sponsored cloud 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.
See which cloud data engineer employers are hiring and sponsoring visas in Pennsylvania right now.
Search Cloud Data Engineer Jobs in Pennsylvania