Cloud Solutions Engineer Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's cloud solutions engineer job market spans Philadelphia's financial and healthcare technology sectors, Pittsburgh's growing AI and cloud corridor anchored by companies like Google, Microsoft, and Carnegie Mellon University spinouts, and enterprise employers such as Comcast, Vanguard, and SAP across the state. International candidates will find active H-1B sponsorship across these industries.
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Overview
Job Description: We don’t simply hire employees. We invest in them. When you work at Chatham, we empower you — offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day. The technology team at Chatham is responsible for building scalable, innovative fintech solutions that power global investment decisions. As a Senior Data Solutions Engineer within the Asset Platform division, you will report to the Asset Data Platform Manager and be part of a forward-deployed engineering team delivering complex solutions on Chatham’s Asset Platform for one of its largest and most strategic clients - a global real estate investment manager. You will oversee the design and delivery of custom, end-to-end solutions that span multiple Data Platform layers, collaborating closely with Senior Engineers and Leads across Data Engineering, Data Integration, and Analytics to ensure strong data quality, effective governance, and long-term customer success. In this engagement, you will be joined by a Data Engineer and a Data Analyst and, together, you will maximize the success of the client’s analytics initiatives on the Asset Platform.
In This Role You Will
- Act as Technical Lead for a client-facing Data Analytics engagement, guiding solution design, delivery approach, and technical decision-making
- Lead discovery and data assessment activities, evaluating data availability, quality, and feasibility for new data management, analytics, or reporting initiatives
- Design, model, and onboard priority datasets not yet available in the product's Data Platform, ensuring alignment with platform standards and client requirements
- Oversee and contribute to the development of custom analytics solutions - including reports, dashboards, semantic models, views and/or queries - against the product’s Data Platform to facilitate advanced, idiosyncratic or novel data consumption alongside the Asset Platform’s standard analytics
- Define and implement bespoke data quality rules and on-demand data validation checks beyond the standard platform capabilities
- Review solution designs and implementations to ensure scalability, reliability, maintainability, and alignment with long-term platform strategy
- Serve as a primary technical point of contact for the client, gathering feedback, managing expectations, and translating business needs into actionable technical enhancements
- Represent Chatham’s best interests in client engagements by balancing customer requests with platform integrity, security, and sustainability
- Mentor Data Engineers and Analysts by providing technical guidance, design feedback, and code reviews
Your Impact
As a Senior Data Solutions Engineer, you will play a critical role in ensuring that data solutions built on the product's Data Platform are cohesive, scalable, and aligned with both technical and business objectives. By combining strong data engineering skills with solution-level ownership and cross-functional leadership, you will help bridge the gap between platform capabilities and real-world product and client needs - driving consistency, quality, and impact across Chatham’s and client’s data ecosystem.
Contributors To Your Success
- Strong proficiency in SQL querying and transformations
- Strong experience using Python for backend development and/or data transformation
- Proven track record of building or operating multi-layered Enterprise Data Platforms delivering complex analytical use-cases and integrating highly sparse and diverse datasets
- Represents a big plus: experience with designing software components for scalability, performance, and operational trade-offs; operationalising complex Data Platform infrastructure via Terraform (or similar)
- Hands-on experience working with modern analytical data stores such as Snowflake or Databricks
- Hands-on experience building solutions on cloud platforms, preferably Azure, including storage, compute, and security concepts
- Experience designing and operating CI/CD pipelines, preferably using GitHub and GitHub Actions
- Working knowledge of microservices architectures, including experience with Docker and containerized deployments
- Working knowledge of data governance and master data management fundamental concepts
- Familiarity with version control best practices and collaborative development workflows
- Strong ability to collaborate cross-functionally and communicate technical concepts clearly to both technical and non-technical stakeholders
- Experience providing technical leadership through solution design, code reviews, and mentorship
- Customer-focused mindset with the ability to balance client satisfaction, technical quality, and long-term platform sustainability while representing Chatham’s best interests
- B.S. or M.S. in Statistics / Mathematics / Economics / Computer Science / Management Information Systems
About Chatham Financial
Chatham Financial is the largest independent financial risk management advisory and technology firm. A leader in debt and derivative solutions, Chatham provides clients with access to in-depth knowledge, innovative tools, and an incomparable team of over 700 employees to help mitigate risks associated with interest rate, foreign currency, and commodity exposures. Founded in 1991, Chatham serves more than 3,500 companies across a wide range of industries — handling over $1 trillion in transaction volume annually and helping businesses maximize their value in the capital markets, every day.
Chatham Financial is an equal opportunity employer.

Overview
Job Description: We don’t simply hire employees. We invest in them. When you work at Chatham, we empower you — offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day. The technology team at Chatham is responsible for building scalable, innovative fintech solutions that power global investment decisions. As a Senior Data Solutions Engineer within the Asset Platform division, you will report to the Asset Data Platform Manager and be part of a forward-deployed engineering team delivering complex solutions on Chatham’s Asset Platform for one of its largest and most strategic clients - a global real estate investment manager. You will oversee the design and delivery of custom, end-to-end solutions that span multiple Data Platform layers, collaborating closely with Senior Engineers and Leads across Data Engineering, Data Integration, and Analytics to ensure strong data quality, effective governance, and long-term customer success. In this engagement, you will be joined by a Data Engineer and a Data Analyst and, together, you will maximize the success of the client’s analytics initiatives on the Asset Platform.
In This Role You Will
- Act as Technical Lead for a client-facing Data Analytics engagement, guiding solution design, delivery approach, and technical decision-making
- Lead discovery and data assessment activities, evaluating data availability, quality, and feasibility for new data management, analytics, or reporting initiatives
- Design, model, and onboard priority datasets not yet available in the product's Data Platform, ensuring alignment with platform standards and client requirements
- Oversee and contribute to the development of custom analytics solutions - including reports, dashboards, semantic models, views and/or queries - against the product’s Data Platform to facilitate advanced, idiosyncratic or novel data consumption alongside the Asset Platform’s standard analytics
- Define and implement bespoke data quality rules and on-demand data validation checks beyond the standard platform capabilities
- Review solution designs and implementations to ensure scalability, reliability, maintainability, and alignment with long-term platform strategy
- Serve as a primary technical point of contact for the client, gathering feedback, managing expectations, and translating business needs into actionable technical enhancements
- Represent Chatham’s best interests in client engagements by balancing customer requests with platform integrity, security, and sustainability
- Mentor Data Engineers and Analysts by providing technical guidance, design feedback, and code reviews
Your Impact
As a Senior Data Solutions Engineer, you will play a critical role in ensuring that data solutions built on the product's Data Platform are cohesive, scalable, and aligned with both technical and business objectives. By combining strong data engineering skills with solution-level ownership and cross-functional leadership, you will help bridge the gap between platform capabilities and real-world product and client needs - driving consistency, quality, and impact across Chatham’s and client’s data ecosystem.
Contributors To Your Success
- Strong proficiency in SQL querying and transformations
- Strong experience using Python for backend development and/or data transformation
- Proven track record of building or operating multi-layered Enterprise Data Platforms delivering complex analytical use-cases and integrating highly sparse and diverse datasets
- Represents a big plus: experience with designing software components for scalability, performance, and operational trade-offs; operationalising complex Data Platform infrastructure via Terraform (or similar)
- Hands-on experience working with modern analytical data stores such as Snowflake or Databricks
- Hands-on experience building solutions on cloud platforms, preferably Azure, including storage, compute, and security concepts
- Experience designing and operating CI/CD pipelines, preferably using GitHub and GitHub Actions
- Working knowledge of microservices architectures, including experience with Docker and containerized deployments
- Working knowledge of data governance and master data management fundamental concepts
- Familiarity with version control best practices and collaborative development workflows
- Strong ability to collaborate cross-functionally and communicate technical concepts clearly to both technical and non-technical stakeholders
- Experience providing technical leadership through solution design, code reviews, and mentorship
- Customer-focused mindset with the ability to balance client satisfaction, technical quality, and long-term platform sustainability while representing Chatham’s best interests
- B.S. or M.S. in Statistics / Mathematics / Economics / Computer Science / Management Information Systems
About Chatham Financial
Chatham Financial is the largest independent financial risk management advisory and technology firm. A leader in debt and derivative solutions, Chatham provides clients with access to in-depth knowledge, innovative tools, and an incomparable team of over 700 employees to help mitigate risks associated with interest rate, foreign currency, and commodity exposures. Founded in 1991, Chatham serves more than 3,500 companies across a wide range of industries — handling over $1 trillion in transaction volume annually and helping businesses maximize their value in the capital markets, every day.
Chatham Financial is an equal opportunity employer.
Cloud Solutions Engineer Job Roles in Pennsylvania
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Search Cloud Solutions Engineer Jobs in PennsylvaniaCloud Solutions Engineer Jobs in Pennsylvania: Frequently Asked Questions
Which companies in Pennsylvania sponsor visas for cloud solutions engineers?
Large enterprise employers with established immigration programs are the most consistent sponsors in Pennsylvania. Comcast and Vanguard in the Philadelphia area, along with Google, Microsoft, and PNC Financial in Pittsburgh, regularly sponsor H-1B visas for cloud-focused engineering roles. Healthcare systems such as UPMC and Jefferson Health also hire cloud solutions engineers and have sponsored work visas. Mid-size software and consulting firms across the state sponsor less predictably.
Which visa types are most common for cloud solutions engineer roles in Pennsylvania?
The H-1B is the most common visa category for cloud solutions engineers in Pennsylvania, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information technology, or a related field. Candidates already holding L-1B visas through multinational employers are also placed in these roles. Australians may pursue the E-3, and Canadian or Mexican nationals may qualify under the TN visa for computer systems analyst classifications.
How to find cloud solutions engineer visa sponsorship jobs in Pennsylvania?
Migrate Mate filters cloud solutions engineer roles specifically by visa sponsorship status, so you can browse Pennsylvania-based positions without manually screening each employer. The platform surfaces jobs from companies with documented H-1B filing histories in the state, which is particularly useful for identifying sponsors in Philadelphia's tech and financial services sector and Pittsburgh's emerging cloud and AI hiring market.
Which cities in Pennsylvania have the most cloud solutions engineer sponsorship jobs?
Philadelphia is Pennsylvania's largest market for cloud solutions engineer sponsorship, driven by financial services firms, healthcare technology companies, and consulting practices concentrated in the metro area. Pittsburgh has grown significantly as a cloud and AI hub, with Google's engineering office and a strong university-to-industry pipeline from Carnegie Mellon and the University of Pittsburgh. Harrisburg and Malvern see smaller but consistent demand from defense contractors and pharmaceutical companies.
Are there any Pennsylvania-specific considerations for cloud solutions engineers seeking visa sponsorship?
Pennsylvania's concentration of regulated industries, including financial services, healthcare, and defense contracting, means employers often require security clearances or HIPAA-compliance experience, which can affect sponsorship timelines and role eligibility for international candidates. Carnegie Mellon and Penn State produce a strong local talent pipeline, so sponsored candidates should emphasize specialized cloud certifications or architecture experience that distinguishes them. Pittsburgh employers tied to university research partnerships sometimes offer OPT-to-H-1B pathways for recent graduates.
What is the prevailing wage for sponsored cloud solutions 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.
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