Cloud Data Engineer Visa Sponsorship Jobs in New Jersey
New Jersey's cloud data engineer job market spans financial services firms in Jersey City, pharma and life sciences companies across the Route 1 corridor, and major tech employers in Newark and Princeton. Companies like Cognizant, Conduent, and Prudential Financial have consistent H-1B visa sponsorship histories for cloud data roles in this state.
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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 Data Engineer Job Roles in New Jersey
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Search Cloud Data Engineer Jobs in New JerseyCloud Data Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for cloud data engineers in New Jersey?
New Jersey has a strong base of H-1B sponsoring employers for cloud data engineers. Financial services firms like Prudential Financial and Merrill Lynch, consulting and IT services companies like Cognizant and Infosys, and pharma companies like Johnson and Johnson and Merck have all filed LCAs for cloud data roles in the state. Large tech employers and financial data platforms in the Jersey City area are also consistent sponsors.
Which visa types are most common for cloud data engineer roles in New Jersey?
The H-1B is the most common visa category for cloud data engineers in New Jersey, 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. The L-1B intracompany transferee visa is also used by multinational firms, particularly the consulting companies headquartered or with major offices in the state. OPT and STEM OPT extensions are common entry points for international graduates before H-1B sponsorship.
Which cities in New Jersey have the most cloud data engineer sponsorship jobs?
Jersey City leads due to its concentration of financial services and fintech employers directly across from Manhattan. Newark is home to several large corporate headquarters and IT services offices. The Route 1 corridor, running through Princeton, New Brunswick, and Piscataway, is a secondary hub driven by pharma, biotech, and university-affiliated employers. Parsippany and Florham Park also have notable tech and consulting employer presence.
How to find cloud data engineer visa sponsorship jobs in New Jersey?
Migrate Mate is built specifically for international candidates looking for visa sponsorship jobs, including cloud data engineer roles in New Jersey. You can filter by state and role to see active listings from employers with documented sponsorship histories. This saves time compared to manually screening general job postings where sponsorship availability is rarely stated upfront. Migrate Mate focuses on roles where sponsorship is part of the hiring picture.
Are there any New Jersey-specific considerations for cloud data engineers seeking sponsorship?
New Jersey falls under the Department of Labor's New York-Newark metropolitan area prevailing wage zone for many positions, which means employers must meet wage thresholds that reflect one of the higher-cost labor markets in the country. Rutgers University and NJIT produce a steady pipeline of international graduates in data and cloud-related fields, meaning competition for entry-level sponsored roles can be significant. Pharma and life sciences employers in New Jersey also tend to favor candidates with domain-specific cloud experience, such as clinical data platforms or regulatory data engineering.
What is the prevailing wage for sponsored cloud data 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.