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 visa petitions for cloud data engineering roles across the state.
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Get Access To All JobsINTRODUCTION
A best-in-class city that attracts best-in-class talent, Philadelphia is an incredible place to build a career. From our thriving arts scene and rich history to our culture of passion and grit, there are countless reasons to love living and working here. With a workforce of over 30,000 people, and more than 1,000 different job categories, the City of Philadelphia offers boundless opportunities to make an impact. As an employer, the City of Philadelphia values inclusion, integrity, innovation, empowerment, and hard work above all else. We offer a vibrant work environment, comprehensive health care and benefits, and the experience you need to grow and excel. If you’re interested in working with a passionate team of people who care about the future of Philadelphia, start here.
What We Offer:
Impact - The work you do here matters to millions.
Growth - Philadelphia is growing, why not grow with it?
Diversity & Inclusion - Find a career in a place where everyone belongs.
Job Description
Benefits - We care about your well-being. The Data Architect / Quality Assurance Engineer will help define, document, and improve the data models, standards, validation frameworks, and quality assurance practices that support the City’s enterprise data integration ecosystem. This position will work across departments, programs, systems, and technical teams to understand business processes, source-system behavior, data definitions, data quality issues, and integration needs. The role will help translate that understanding into enterprise data models, data contracts, validation rules, metadata, quality checks, and architectural guardrails that make City data more consistent, trustworthy, reusable, and scalable. The Data Architect / Quality Assurance Engineer will play a key role in reducing downstream errors, improving API and integration design, supporting data governance, and ensuring that enterprise data products are designed with quality and reuse in mind from the beginning. The position will support priority departmental and enterprise modernization efforts, while also contributing to broader enterprise data architecture and data quality work across CityGeo’s portfolio. We are looking for a candidate who can bridge business process analysis, data architecture, quality assurance, and practical implementation. This role is well suited for someone who enjoys working with stakeholders to understand how data is produced and used, while also creating the standards, models, and validation practices that make data more reliable across the enterprise. Some prominent services the team is responsible for include DataBridge, OIT’s enterprise data warehouse, AIS, the City’s custom address information systems which supports public address search and internal geocoding, and Databridge-Airflow, a custom workflow generator and orchestrator for departmental integrations (https://metadata.phila.gov/) and open data publishing. Some examples of OIT’s commitment to serving the public through the effective and innovative integration of City open data include: https://Atlas.phila.gov https://property.phila.gov https://Openmaps.phila.gov https://streetsmartphl.phila.gov/ www.phila.gov/solarmap www.phila.gov/stressmap
Essential Functions
- Lead data discovery and requirements-gathering sessions with departments, programs, vendors, and technical teams to understand business processes, source systems, data flows, data definitions, and data quality concerns.
- Design conceptual, logical, and physical data models that support enterprise integrations, APIs, reporting, analytics, open data, and operational systems.
- Define reusable data architecture patterns, naming conventions, entity relationships, identifiers, reference data standards, and master data concepts.
- Develop data contracts, schema standards, field definitions, validation rules, and acceptance criteria for new and existing integrations.
- Establish systematic data quality checks for completeness, accuracy, consistency, validity, uniqueness, timeliness, referential integrity, and business-rule compliance.
- Work with data engineers to implement automated validation and quality assurance workflows using SQL, Python, DBT tests, metadata tools, or similar approaches.
- Review integration designs, pipeline logic, API structures, and data models to ensure they align with enterprise standards and long-term reuse needs.
- Identify and document data quality issues, root causes, source-system constraints, transformation risks, and downstream impacts.
- Develop quality assurance processes for integration releases, schema changes, source-system changes, API changes, and data product updates.
- Support metadata management, data lineage, data dictionaries, data inventories, and governance documentation for enterprise data assets.
- Partner with data stewards and department stakeholders to clarify definitions, ownership, update frequency, quality expectations, and appropriate use of data.
- Partner with security, privacy, legal, and program teams to ensure sensitive or restricted data is handled according to appropriate rules and expectations.
- Contribute to enterprise data governance, data sharing, API development, open data, and integration standards.
- Produce clear documentation, diagrams, validation reports, data quality scorecards, and technical guidance for both technical and non-technical audiences.
- Help establish a culture of quality, reuse, and accountability across City data integration work.
Competencies:
- Clear and concise written and verbal communication.
- Strong facilitation and stakeholder engagement skills.
- Strong analytical thinking and attention to detail.
- Ability to understand business processes and translate them into data models, rules, and technical requirements.
- Ability to work across multiple domains, departments, systems, and stakeholder groups.
- Ability to balance governance, quality, delivery, and operational practicality.
- Ability to identify patterns, inconsistencies, risks, and opportunities for standardization.
- Commitment to documentation, transparency, public service, and continuous improvement.
Knowledge and Skills:
- Strong knowledge of data modeling, database design, schema design, normalization, dimensional modeling, or related data architecture practices.
- Strong SQL skills and experience working with relational databases, preferably Postgres and PostGIS.
- Experience defining data quality rules, validation checks, test cases, acceptance criteria, and QA workflows.
- Familiarity with data governance, metadata management, data lineage, data dictionaries, data inventories, master data management, and reference data.
- Familiarity with API design, data contracts, JSON schemas, OpenAPI specifications, or similar approaches to defining data exchange standards.
- Experience working with Python, DBT, SQL-based testing, automated QA frameworks, or data validation tools is preferred.
- Familiarity with ETL/ELT pipelines, data warehouses, data lakes, integration platforms, and workflow orchestration tools such as Airflow.
- Experience with Git/GitHub, CI/CD practices, and modern data engineering workflows.
- Ability to create diagrams, documentation, data dictionaries, entity relationship models, process maps, and quality reports.
- Experience working with spatial datasets, addressing data, permitting, property, service request, inspection, or other municipal datasets is a plus.
- Experience working in a public-sector, civic technology, or large enterprise environment is a plus.
Abilities:
- To engage stakeholders and understand how data supports real business processes and public services.
- To design data models that support both immediate project needs and long-term enterprise reuse.
- To define clear standards that data engineers and system teams can implement.
- To identify data quality issues before they create downstream reporting, integration, API, or operational problems.
- To develop practical validation frameworks that can be automated and maintained.
- To communicate data architecture and quality concepts in understandable terms.
- To work effectively with technical and non-technical staff across departments.
- To promote consistency, trust, and accountability in the City’s enterprise data ecosystem.
Qualifications
Bachelor’s degree or advanced degree in Computer Science, Information Systems, Data Science, Data Analytics, GIS, Public Policy, Engineering, or a related field. Equivalent work experience may be considered.
- Five or more years of progressively responsible experience in data architecture, data engineering, data quality assurance, data governance, business intelligence, systems analysis, database design, or a related role.
- Demonstrated experience designing data models, documenting data definitions, analyzing source systems, or creating validation frameworks.
- Proven experience working with SQL and relational databases.
- Experience working with technical teams and business stakeholders to define requirements, data rules, data models, or quality standards.
- Experience supporting enterprise integrations, APIs, data warehouses, reporting systems, analytics platforms, or operational data products.
- Dedication to making Philadelphia municipal government more robust, efficient, equitable, and data-informed.
- Previous work in a public-sector or large-organization setting is a plus.
Additional Information
Salary cannot exceed: $105,000 Starting salary to be determined based on experience and qualifications. Important: To apply, candidates must provide a cover letter and a resume.
Did you know?
- We offer Comprehensive health coverage for employees and their eligible dependents.
- Our wellness program offers eligibility into the discounted medical plan.
- Employees receive paid vacation, sick leave, and holidays.
- Generous retirement savings options are available.
- Pay off your student loans faster - As a qualifying employer, City of Philadelphia employees are eligible to participate in the Public Service Loan Forgiveness program. Join the ranks of hundreds of employees who have already benefited from this program and achieved student loan forgiveness.
- Enjoy a Free Commute on SEPTA - Starting September 1, 2023, eligible City employees will no longer have to worry about paying for SEPTA public transportation. Whether you're a full-time, part-time, or provisional employee, you can seize the opportunity to sign up for the SEPTA Key Advantage Program and receive free Key cards for free rides on SEPTA buses, trains, trolleys, and regional rails.
- Unlock Tuition Discounts and Scholarships - The City of Philadelphia has forged partnerships with over a dozen esteemed colleges and universities in the area, ensuring that our employees have access to a wide range of tuition discounts and scholarships. Experience savings of 10% to 40% on your educational expenses, extending not only to City employees but in some cases, spouse and dependents too!
The successful candidate must be a city of Philadelphia resident within six months of hire. Effective May 22, 2023, vaccinations are no longer required for new employees that work in non-medical, non-emergency or patient facing positions with the City of Philadelphia. As a result, only employees in positions providing services that are patient-facing medical care (ex: Nurses, doctors, emergency medical personnel), must be fully vaccinated.
The City of Philadelphia is an Equal Opportunity employer and does not permit discrimination based on race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, source of income, familial status, genetic information or domestic or sexual violence victim status. If you believe you were discriminated against, call the Philadelphia Commission on Human Relations at 215-686-4670 or send an email to faqpchr@phila.gov. For more information, go to: Human Relations Website: http://www.phila.gov/humanrelations/Pages/default.asp
INTRODUCTION
A best-in-class city that attracts best-in-class talent, Philadelphia is an incredible place to build a career. From our thriving arts scene and rich history to our culture of passion and grit, there are countless reasons to love living and working here. With a workforce of over 30,000 people, and more than 1,000 different job categories, the City of Philadelphia offers boundless opportunities to make an impact. As an employer, the City of Philadelphia values inclusion, integrity, innovation, empowerment, and hard work above all else. We offer a vibrant work environment, comprehensive health care and benefits, and the experience you need to grow and excel. If you’re interested in working with a passionate team of people who care about the future of Philadelphia, start here.
What We Offer:
Impact - The work you do here matters to millions.
Growth - Philadelphia is growing, why not grow with it?
Diversity & Inclusion - Find a career in a place where everyone belongs.
Job Description
Benefits - We care about your well-being. The Data Architect / Quality Assurance Engineer will help define, document, and improve the data models, standards, validation frameworks, and quality assurance practices that support the City’s enterprise data integration ecosystem. This position will work across departments, programs, systems, and technical teams to understand business processes, source-system behavior, data definitions, data quality issues, and integration needs. The role will help translate that understanding into enterprise data models, data contracts, validation rules, metadata, quality checks, and architectural guardrails that make City data more consistent, trustworthy, reusable, and scalable. The Data Architect / Quality Assurance Engineer will play a key role in reducing downstream errors, improving API and integration design, supporting data governance, and ensuring that enterprise data products are designed with quality and reuse in mind from the beginning. The position will support priority departmental and enterprise modernization efforts, while also contributing to broader enterprise data architecture and data quality work across CityGeo’s portfolio. We are looking for a candidate who can bridge business process analysis, data architecture, quality assurance, and practical implementation. This role is well suited for someone who enjoys working with stakeholders to understand how data is produced and used, while also creating the standards, models, and validation practices that make data more reliable across the enterprise. Some prominent services the team is responsible for include DataBridge, OIT’s enterprise data warehouse, AIS, the City’s custom address information systems which supports public address search and internal geocoding, and Databridge-Airflow, a custom workflow generator and orchestrator for departmental integrations (https://metadata.phila.gov/) and open data publishing. Some examples of OIT’s commitment to serving the public through the effective and innovative integration of City open data include: https://Atlas.phila.gov https://property.phila.gov https://Openmaps.phila.gov https://streetsmartphl.phila.gov/ www.phila.gov/solarmap www.phila.gov/stressmap
Essential Functions
- Lead data discovery and requirements-gathering sessions with departments, programs, vendors, and technical teams to understand business processes, source systems, data flows, data definitions, and data quality concerns.
- Design conceptual, logical, and physical data models that support enterprise integrations, APIs, reporting, analytics, open data, and operational systems.
- Define reusable data architecture patterns, naming conventions, entity relationships, identifiers, reference data standards, and master data concepts.
- Develop data contracts, schema standards, field definitions, validation rules, and acceptance criteria for new and existing integrations.
- Establish systematic data quality checks for completeness, accuracy, consistency, validity, uniqueness, timeliness, referential integrity, and business-rule compliance.
- Work with data engineers to implement automated validation and quality assurance workflows using SQL, Python, DBT tests, metadata tools, or similar approaches.
- Review integration designs, pipeline logic, API structures, and data models to ensure they align with enterprise standards and long-term reuse needs.
- Identify and document data quality issues, root causes, source-system constraints, transformation risks, and downstream impacts.
- Develop quality assurance processes for integration releases, schema changes, source-system changes, API changes, and data product updates.
- Support metadata management, data lineage, data dictionaries, data inventories, and governance documentation for enterprise data assets.
- Partner with data stewards and department stakeholders to clarify definitions, ownership, update frequency, quality expectations, and appropriate use of data.
- Partner with security, privacy, legal, and program teams to ensure sensitive or restricted data is handled according to appropriate rules and expectations.
- Contribute to enterprise data governance, data sharing, API development, open data, and integration standards.
- Produce clear documentation, diagrams, validation reports, data quality scorecards, and technical guidance for both technical and non-technical audiences.
- Help establish a culture of quality, reuse, and accountability across City data integration work.
Competencies:
- Clear and concise written and verbal communication.
- Strong facilitation and stakeholder engagement skills.
- Strong analytical thinking and attention to detail.
- Ability to understand business processes and translate them into data models, rules, and technical requirements.
- Ability to work across multiple domains, departments, systems, and stakeholder groups.
- Ability to balance governance, quality, delivery, and operational practicality.
- Ability to identify patterns, inconsistencies, risks, and opportunities for standardization.
- Commitment to documentation, transparency, public service, and continuous improvement.
Knowledge and Skills:
- Strong knowledge of data modeling, database design, schema design, normalization, dimensional modeling, or related data architecture practices.
- Strong SQL skills and experience working with relational databases, preferably Postgres and PostGIS.
- Experience defining data quality rules, validation checks, test cases, acceptance criteria, and QA workflows.
- Familiarity with data governance, metadata management, data lineage, data dictionaries, data inventories, master data management, and reference data.
- Familiarity with API design, data contracts, JSON schemas, OpenAPI specifications, or similar approaches to defining data exchange standards.
- Experience working with Python, DBT, SQL-based testing, automated QA frameworks, or data validation tools is preferred.
- Familiarity with ETL/ELT pipelines, data warehouses, data lakes, integration platforms, and workflow orchestration tools such as Airflow.
- Experience with Git/GitHub, CI/CD practices, and modern data engineering workflows.
- Ability to create diagrams, documentation, data dictionaries, entity relationship models, process maps, and quality reports.
- Experience working with spatial datasets, addressing data, permitting, property, service request, inspection, or other municipal datasets is a plus.
- Experience working in a public-sector, civic technology, or large enterprise environment is a plus.
Abilities:
- To engage stakeholders and understand how data supports real business processes and public services.
- To design data models that support both immediate project needs and long-term enterprise reuse.
- To define clear standards that data engineers and system teams can implement.
- To identify data quality issues before they create downstream reporting, integration, API, or operational problems.
- To develop practical validation frameworks that can be automated and maintained.
- To communicate data architecture and quality concepts in understandable terms.
- To work effectively with technical and non-technical staff across departments.
- To promote consistency, trust, and accountability in the City’s enterprise data ecosystem.
Qualifications
Bachelor’s degree or advanced degree in Computer Science, Information Systems, Data Science, Data Analytics, GIS, Public Policy, Engineering, or a related field. Equivalent work experience may be considered.
- Five or more years of progressively responsible experience in data architecture, data engineering, data quality assurance, data governance, business intelligence, systems analysis, database design, or a related role.
- Demonstrated experience designing data models, documenting data definitions, analyzing source systems, or creating validation frameworks.
- Proven experience working with SQL and relational databases.
- Experience working with technical teams and business stakeholders to define requirements, data rules, data models, or quality standards.
- Experience supporting enterprise integrations, APIs, data warehouses, reporting systems, analytics platforms, or operational data products.
- Dedication to making Philadelphia municipal government more robust, efficient, equitable, and data-informed.
- Previous work in a public-sector or large-organization setting is a plus.
Additional Information
Salary cannot exceed: $105,000 Starting salary to be determined based on experience and qualifications. Important: To apply, candidates must provide a cover letter and a resume.
Did you know?
- We offer Comprehensive health coverage for employees and their eligible dependents.
- Our wellness program offers eligibility into the discounted medical plan.
- Employees receive paid vacation, sick leave, and holidays.
- Generous retirement savings options are available.
- Pay off your student loans faster - As a qualifying employer, City of Philadelphia employees are eligible to participate in the Public Service Loan Forgiveness program. Join the ranks of hundreds of employees who have already benefited from this program and achieved student loan forgiveness.
- Enjoy a Free Commute on SEPTA - Starting September 1, 2023, eligible City employees will no longer have to worry about paying for SEPTA public transportation. Whether you're a full-time, part-time, or provisional employee, you can seize the opportunity to sign up for the SEPTA Key Advantage Program and receive free Key cards for free rides on SEPTA buses, trains, trolleys, and regional rails.
- Unlock Tuition Discounts and Scholarships - The City of Philadelphia has forged partnerships with over a dozen esteemed colleges and universities in the area, ensuring that our employees have access to a wide range of tuition discounts and scholarships. Experience savings of 10% to 40% on your educational expenses, extending not only to City employees but in some cases, spouse and dependents too!
The successful candidate must be a city of Philadelphia resident within six months of hire. Effective May 22, 2023, vaccinations are no longer required for new employees that work in non-medical, non-emergency or patient facing positions with the City of Philadelphia. As a result, only employees in positions providing services that are patient-facing medical care (ex: Nurses, doctors, emergency medical personnel), must be fully vaccinated.
The City of Philadelphia is an Equal Opportunity employer and does not permit discrimination based on race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, source of income, familial status, genetic information or domestic or sexual violence victim status. If you believe you were discriminated against, call the Philadelphia Commission on Human Relations at 215-686-4670 or send an email to faqpchr@phila.gov. For more information, go to: Human Relations Website: http://www.phila.gov/humanrelations/Pages/default.asp
Cloud Data Engineer Job Roles in Pennsylvania
See all Cloud Data Engineer Jobs in Pennsylvania
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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.