Cloud Engineer Visa Sponsorship Jobs in New Jersey
New Jersey's cloud engineer job market draws heavily from its dense corridor of pharma, finance, and telecom employers, with major hubs in Jersey City, Newark, and Princeton. Companies like Johnson & Johnson, Cognizant, and Prudential Financial regularly hire cloud engineers and have established histories of H-1B visa sponsorship for qualified international candidates.
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Get Access To All JobsINTRODUCTION
ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY’s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies.
Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today’s data-rich world.
ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy.
ROLE AND RESPONSIBILITIES
We are seeking a Senior Cloud Data Engineer to help build and scale our modern healthcare data platform. This hands-on role will design, build, and operate cloud-native data pipelines that ingest, cleanse, normalize, and deliver clinical and operational healthcare data at scale.
You will work closely with architecture, engineering, data governance, QA, and product teams to modernize legacy point-to-point integrations into a secure, scalable, observable, and reusable data platform.
Essential Duties & Responsibilities:
- Build scalable data pipelines for batch and streaming workloads using technologies such as Spark, Databricks, Airflow, and dbt.
- Process healthcare data including HL7, FHIR, X12/EDI, CCD/CCDA, and flat-file formats.
- Build cloud lakehouse solutions using S3/ADLS, Delta Lake, Apache Iceberg, or Hudi, along with modern cloud data warehouses i.e. Snowflake, Redshift.
- Improve data quality through automated validation, cleansing, de-duplication, schema validation, and quarantine workflows.
- Support identity resolution and master data by integrating patient/member, provider, subscriber, and reference data with MPI/EMPI capabilities.
- Modernize legacy integrations into reusable, configuration-driven, event-based, streaming, and API-based patterns.
- Build for production reliability with monitoring, alerting, audit logging, data lineage, security, and operational observability.
- Collaborate across teams to translate architecture into well-tested, production-grade solutions that meet healthcare security and compliance requirements.
QUALIFICATIONS
- 5+ years of data engineering experience, including 2+ years building cloud-native solutions on AWS, Azure, or GCP.
- Strong experience with Python and SQL and distributed data-processing technologies such as Apache Spark or Databricks.
- Experience with orchestration and transformation tools such as Airflow, dbt, Prefect, or Dagster.
- Experience with cloud storage/lakehouse technologies such as S3, ADLS, Delta Lake, Apache Iceberg, or Hudi.
- Experience with a modern data warehouse such as Snowflake, Redshift, BigQuery, or Synapse.
- Experience with streaming/event-driven technologies such as Kafka, Kinesis, SQS/EventBridge, RabbitMQ, Amazon MQ, or Azure Event Hubs.
- Familiarity with Docker, Kubernetes, Terraform, CI/CD, and automated testing.
- Understanding of data quality, de-duplication, master/reference data, security, and governance.
Technology Environment
AWS / Azure / GCP • Python • SQL • Spark • Databricks • Airflow • dbt • Kafka • SQS/EventBridge • S3 / ADLS • Iceberg / Delta Lake • Snowflake / Redshift / BigQuery • Docker • Kubernetes • Terraform • HL7 • FHIR • X12/EDI
Candidates do not need experience with every technology listed. Strong data-engineering fundamentals, cloud experience, and the ability to learn new technologies are most important.
BENEFITS
ELLKAY offers a comprehensive and competitive benefit package that starts day one!
Including:
- Medical, Dental, and Vision benefits
- Employer-paid Life and LTD
- 401k w/ matching – once eligibility is met
- Work/life balance
- Paid Volunteer Program
- Flexible working hours
- Generous FTO
- Remote work options
- Employee Discounts
- Parental Leave
- Gym membership / Exercise class stipends
Our awesome culture includes:
- Working with talented, collaborative, and friendly people who love what they do
- Professional growth within
- Innovation environment
- On site in HQ Free daily lunches
AWARDS
- 2025 Top Workplaces Employee Appreciation
- 2025 Top Workplaces Employee Well-Being
- 2025 Top Workplaces Professional Development
- 2025 Top Workplaces Leadership
- 2026 USA Today Top Workplaces
- 2026 NJ Top Workplaces
ADDITIONAL INFORMATION
At ELLKAY, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy of operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences. For those who do not live within 40 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets.
ELLKAY LLC is a Smoke-Free Workplace.
ELLKAY, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
INTRODUCTION
ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY’s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies.
Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today’s data-rich world.
ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy.
ROLE AND RESPONSIBILITIES
We are seeking a Senior Cloud Data Engineer to help build and scale our modern healthcare data platform. This hands-on role will design, build, and operate cloud-native data pipelines that ingest, cleanse, normalize, and deliver clinical and operational healthcare data at scale.
You will work closely with architecture, engineering, data governance, QA, and product teams to modernize legacy point-to-point integrations into a secure, scalable, observable, and reusable data platform.
Essential Duties & Responsibilities:
- Build scalable data pipelines for batch and streaming workloads using technologies such as Spark, Databricks, Airflow, and dbt.
- Process healthcare data including HL7, FHIR, X12/EDI, CCD/CCDA, and flat-file formats.
- Build cloud lakehouse solutions using S3/ADLS, Delta Lake, Apache Iceberg, or Hudi, along with modern cloud data warehouses i.e. Snowflake, Redshift.
- Improve data quality through automated validation, cleansing, de-duplication, schema validation, and quarantine workflows.
- Support identity resolution and master data by integrating patient/member, provider, subscriber, and reference data with MPI/EMPI capabilities.
- Modernize legacy integrations into reusable, configuration-driven, event-based, streaming, and API-based patterns.
- Build for production reliability with monitoring, alerting, audit logging, data lineage, security, and operational observability.
- Collaborate across teams to translate architecture into well-tested, production-grade solutions that meet healthcare security and compliance requirements.
QUALIFICATIONS
- 5+ years of data engineering experience, including 2+ years building cloud-native solutions on AWS, Azure, or GCP.
- Strong experience with Python and SQL and distributed data-processing technologies such as Apache Spark or Databricks.
- Experience with orchestration and transformation tools such as Airflow, dbt, Prefect, or Dagster.
- Experience with cloud storage/lakehouse technologies such as S3, ADLS, Delta Lake, Apache Iceberg, or Hudi.
- Experience with a modern data warehouse such as Snowflake, Redshift, BigQuery, or Synapse.
- Experience with streaming/event-driven technologies such as Kafka, Kinesis, SQS/EventBridge, RabbitMQ, Amazon MQ, or Azure Event Hubs.
- Familiarity with Docker, Kubernetes, Terraform, CI/CD, and automated testing.
- Understanding of data quality, de-duplication, master/reference data, security, and governance.
Technology Environment
AWS / Azure / GCP • Python • SQL • Spark • Databricks • Airflow • dbt • Kafka • SQS/EventBridge • S3 / ADLS • Iceberg / Delta Lake • Snowflake / Redshift / BigQuery • Docker • Kubernetes • Terraform • HL7 • FHIR • X12/EDI
Candidates do not need experience with every technology listed. Strong data-engineering fundamentals, cloud experience, and the ability to learn new technologies are most important.
BENEFITS
ELLKAY offers a comprehensive and competitive benefit package that starts day one!
Including:
- Medical, Dental, and Vision benefits
- Employer-paid Life and LTD
- 401k w/ matching – once eligibility is met
- Work/life balance
- Paid Volunteer Program
- Flexible working hours
- Generous FTO
- Remote work options
- Employee Discounts
- Parental Leave
- Gym membership / Exercise class stipends
Our awesome culture includes:
- Working with talented, collaborative, and friendly people who love what they do
- Professional growth within
- Innovation environment
- On site in HQ Free daily lunches
AWARDS
- 2025 Top Workplaces Employee Appreciation
- 2025 Top Workplaces Employee Well-Being
- 2025 Top Workplaces Professional Development
- 2025 Top Workplaces Leadership
- 2026 USA Today Top Workplaces
- 2026 NJ Top Workplaces
ADDITIONAL INFORMATION
At ELLKAY, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy of operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences. For those who do not live within 40 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets.
ELLKAY LLC is a Smoke-Free Workplace.
ELLKAY, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Cloud Engineer Job Roles in New Jersey
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Search Cloud Engineer Jobs in New JerseyCloud Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for cloud engineers in New Jersey?
Large enterprises with significant New Jersey footprints are among the most active sponsors for cloud engineer roles. Cognizant, Infosys, and Tata Consultancy Services file high volumes of H-1B visa petitions for technical roles in the state. Beyond IT services firms, companies like Johnson & Johnson, Prudential Financial, and Verizon also sponsor cloud engineers, particularly for roles supporting infrastructure modernization and multi-cloud platform work.
Which visa types are most common for cloud engineer roles in New Jersey?
The H-1B is the predominant visa category for cloud engineers in New Jersey, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Candidates from India and China often rely on employer-sponsored EB-2 or EB-3 green card petitions for longer-term pathways. Australians may also pursue the E-3 visa with a qualifying New Jersey employer.
Which cities in New Jersey have the most cloud engineer sponsorship jobs?
Jersey City and Newark concentrate the largest share of cloud engineer sponsorship activity, driven by their proximity to New York City's financial sector and the presence of major tech and consulting employers. Parsippany and Basking Ridge attract roles tied to Verizon and other telecom infrastructure companies. Princeton and the Route 1 corridor also generate demand through pharma and biotech firms that have expanded cloud and data engineering teams in recent years.
How to find cloud engineer visa sponsorship jobs in New Jersey?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and lets you filter cloud engineer roles by state, so you can browse New Jersey positions from employers with documented sponsorship histories. Rather than sifting through general job boards where sponsorship status is rarely disclosed upfront, Migrate Mate surfaces roles where H-1B and other work visa sponsorship is explicitly part of the hiring process for cloud engineering positions.
Are there any New Jersey-specific factors cloud engineers should know about for visa sponsorship?
New Jersey's concentration of IT services and consulting firms means many cloud engineer sponsorship cases are filed by third-party employers placing workers at client sites, which can affect how your Labor Condition Application is structured and which prevailing wage applies. The state also has a strong university pipeline through Rutgers and NJIT, so OPT and STEM OPT extensions are common bridge arrangements before H-1B sponsorship begins. Candidates should confirm that their employer of record, not just the client, is the H-1B petitioner.
What is the prevailing wage for sponsored cloud engineer jobs in New Jersey?
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.