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
We are seeking an experienced Senior Data Engineer to serve as the onshore technical lead for the EXL augmented support team. In this role, you will lead a team of 6–8 Data Engineers (onshore/offshore) through the full repointing lifecycle: SQL syntax conversion (Teradata to Snowflake), Airflow variable and connection updates, script modification, parallel run validation, and production cutover.
ROLE AND RESPONSIBILITIES
Repointing Execution & Delivery
- Lead script-level repointing across 593 downstream scripts (PySpark, BTEQ, Shell, SQL, IICS, SSIS) and 154 Databricks MLOps scripts from Teradata/SQL Server/Minio to Snowflake.
- Execute SQL syntax conversion for Teradata BTEQ scripts to Snowflake-compatible SQL, leveraging utility frameworks provided by the SI Partner (Infosys).
- Drive Airflow variable and connection updates across all migrated workflows, ensuring pipelines point to Snowflake endpoints post-cutover.
- Manage the script modification and change management process, coordinating production-to-parallel sync within the required 1-business-day SLA.
- Own the deployment and sign-off process for each migration wave, maintaining runbooks and go/no-go checklists per domain group.
- Manage data copy requests for Minio-related assets and coordinate initial load and incremental sync activities with the SI Partner.
Team Leadership
- Lead and coordinate a team of 6–8 Data Engineer I and Data Engineer II resources (onshore and offshore) across parallel migration workstreams.
- Assign scripts per complexity band (S/M/L) to team members, track daily progress against the LOE estimates, and escalate blockers promptly.
- Review code changes, validate SQL conversion quality, and enforce engineering standards before submission to EBI team for review.
- Mentor junior engineers on Snowflake-specific constructs (virtual warehouses, stages, Snowpark, streams & tasks) and Teradata-to-Snowflake syntax differences.
- Conduct daily stand-ups and provide weekly migration status reports to the Program Manager and client stakeholders.
BASIC QUALIFICATIONS
Technical Skills (Must Have)
- 8+ years of data engineering experience; minimum 3 years hands-on with Snowflake (architecture, SQL dialect, performance tuning, RBAC).
- Proven experience migrating Teradata workloads to Snowflake — including BTEQ/ANSI SQL translation, macro conversion, and stored procedure migration.
- Strong PySpark and Python skills; experience working with Databricks is required (MLOps pipelines a strong plus).
- Working knowledge of Apache Airflow — DAG management, variable configuration, connection updates across environments.
- Familiarity with IICS (Informatica Intelligent Cloud Services) and/or SSIS (.dtsx) pipelines in a migration context.
- Solid understanding of data lake and object store patterns (Minio, S3, ADLS) and how they integrate with Snowflake external stages.
- Experience with SQL Server, Teradata, and/or Netezza as source platforms is required.
- Strong Git proficiency; experience with CI/CD pipelines and code change coordination across environments (dev → parallel → prod).
Delivery & Leadership Skills
- Proven experience leading a team of 5+ engineers in a fast-paced, time-bound migration or repointing program.
- Ability to manage scope across complexity bands (S/M/L scripts) and balance team capacity against tight delivery timelines.
- Strong stakeholder management — able to communicate migration status, risks, and escalation paths clearly to both technical and business audiences.
- Experience working in a client-facing consulting or managed services model is strongly preferred.
- Comfortable coordinating with an SI Partner — understanding scope boundaries, handoff points, and utility dependencies without micromanaging.
PREFERRED QUALIFICATIONS
- Domain experience in US Telecom — CDR processing, subscriber data, network inventory, or revenue assurance datasets aligned to EBI workloads (NRD, Compensation, TechOps, CB, etc.).
- Snowflake SnowPro Core or Advanced Data Engineer certification.
- Prior experience delivering migrations, consulting firm, or analytics-driven managed services engagement.
- Exposure to data observability and reconciliation tooling (Great Expectations, Monte Carlo, or custom validation frameworks).
- Familiarity with Snowflake Snowpark, Streams & Tasks, or Dynamic Tables for replacing legacy Teradata batch patterns.
- Experience with Databricks Unity Catalog or MLOps frameworks in an enterprise telecom context.
WHAT WE'RE LOOKING FOR
A hands-on technical lead who can walk into a live migration program, immediately understand script-level complexity, own execution accountability, and keep a distributed team moving at pace — without needing the SI Partner to hold their hand.
- Someone who can read a Teradata BTEQ script and a Snowflake execution plan in the same breath.
- A communicator who can run a 15-minute daily sync with EBI stakeholders and translate yesterday’s reconciliation failures into a clear resolution path.
- A professional who understands the rhythm of parallel run validation — tolerates expected data mismatches, drives iterative reconciliation, and knows when to escalate versus resolve.
INTRODUCTION
We are seeking an experienced Senior Data Engineer to serve as the onshore technical lead for the EXL augmented support team. In this role, you will lead a team of 6–8 Data Engineers (onshore/offshore) through the full repointing lifecycle: SQL syntax conversion (Teradata to Snowflake), Airflow variable and connection updates, script modification, parallel run validation, and production cutover.
ROLE AND RESPONSIBILITIES
Repointing Execution & Delivery
- Lead script-level repointing across 593 downstream scripts (PySpark, BTEQ, Shell, SQL, IICS, SSIS) and 154 Databricks MLOps scripts from Teradata/SQL Server/Minio to Snowflake.
- Execute SQL syntax conversion for Teradata BTEQ scripts to Snowflake-compatible SQL, leveraging utility frameworks provided by the SI Partner (Infosys).
- Drive Airflow variable and connection updates across all migrated workflows, ensuring pipelines point to Snowflake endpoints post-cutover.
- Manage the script modification and change management process, coordinating production-to-parallel sync within the required 1-business-day SLA.
- Own the deployment and sign-off process for each migration wave, maintaining runbooks and go/no-go checklists per domain group.
- Manage data copy requests for Minio-related assets and coordinate initial load and incremental sync activities with the SI Partner.
Team Leadership
- Lead and coordinate a team of 6–8 Data Engineer I and Data Engineer II resources (onshore and offshore) across parallel migration workstreams.
- Assign scripts per complexity band (S/M/L) to team members, track daily progress against the LOE estimates, and escalate blockers promptly.
- Review code changes, validate SQL conversion quality, and enforce engineering standards before submission to EBI team for review.
- Mentor junior engineers on Snowflake-specific constructs (virtual warehouses, stages, Snowpark, streams & tasks) and Teradata-to-Snowflake syntax differences.
- Conduct daily stand-ups and provide weekly migration status reports to the Program Manager and client stakeholders.
BASIC QUALIFICATIONS
Technical Skills (Must Have)
- 8+ years of data engineering experience; minimum 3 years hands-on with Snowflake (architecture, SQL dialect, performance tuning, RBAC).
- Proven experience migrating Teradata workloads to Snowflake — including BTEQ/ANSI SQL translation, macro conversion, and stored procedure migration.
- Strong PySpark and Python skills; experience working with Databricks is required (MLOps pipelines a strong plus).
- Working knowledge of Apache Airflow — DAG management, variable configuration, connection updates across environments.
- Familiarity with IICS (Informatica Intelligent Cloud Services) and/or SSIS (.dtsx) pipelines in a migration context.
- Solid understanding of data lake and object store patterns (Minio, S3, ADLS) and how they integrate with Snowflake external stages.
- Experience with SQL Server, Teradata, and/or Netezza as source platforms is required.
- Strong Git proficiency; experience with CI/CD pipelines and code change coordination across environments (dev → parallel → prod).
Delivery & Leadership Skills
- Proven experience leading a team of 5+ engineers in a fast-paced, time-bound migration or repointing program.
- Ability to manage scope across complexity bands (S/M/L scripts) and balance team capacity against tight delivery timelines.
- Strong stakeholder management — able to communicate migration status, risks, and escalation paths clearly to both technical and business audiences.
- Experience working in a client-facing consulting or managed services model is strongly preferred.
- Comfortable coordinating with an SI Partner — understanding scope boundaries, handoff points, and utility dependencies without micromanaging.
PREFERRED QUALIFICATIONS
- Domain experience in US Telecom — CDR processing, subscriber data, network inventory, or revenue assurance datasets aligned to EBI workloads (NRD, Compensation, TechOps, CB, etc.).
- Snowflake SnowPro Core or Advanced Data Engineer certification.
- Prior experience delivering migrations, consulting firm, or analytics-driven managed services engagement.
- Exposure to data observability and reconciliation tooling (Great Expectations, Monte Carlo, or custom validation frameworks).
- Familiarity with Snowflake Snowpark, Streams & Tasks, or Dynamic Tables for replacing legacy Teradata batch patterns.
- Experience with Databricks Unity Catalog or MLOps frameworks in an enterprise telecom context.
WHAT WE'RE LOOKING FOR
A hands-on technical lead who can walk into a live migration program, immediately understand script-level complexity, own execution accountability, and keep a distributed team moving at pace — without needing the SI Partner to hold their hand.
- Someone who can read a Teradata BTEQ script and a Snowflake execution plan in the same breath.
- A communicator who can run a 15-minute daily sync with EBI stakeholders and translate yesterday’s reconciliation failures into a clear resolution path.
- A professional who understands the rhythm of parallel run validation — tolerates expected data mismatches, drives iterative reconciliation, and knows when to escalate versus resolve.
Cloud Data Engineer Job Roles 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.