Data Platform Engineer Jobs in New Jersey
Data Platform Engineer jobs in New Jersey are in strong demand, with openings concentrated in financial services, pharmaceuticals, and telecommunications and opportunities at every level from junior data engineers through principal architects. The heaviest hiring clusters around Newark, Jersey City, and Princeton, where established employers like Johnson & Johnson, Cognizant, and Prudential Financial maintain large technology operations. The most sought-after specialties in New Jersey listings are cloud data pipeline development, Databricks and Snowflake architecture, and real-time streaming with Apache Kafka. Find a role that fits below and apply directly.
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Location: New Jersey, USA (Onsite/Hybrid)
Employment Type: Contract - Initial 3 Months (Potential Extension)
Experience: 8+ years
Industry: Pharmaceutical / Life Sciences Technology
Start Date: Immediate or short notice preferred
About the Role
Fipsar is seeking an experienced, hands-on Senior Data Platform Technical Lead to support enterprise data platforms for a leading global pharmaceutical client. This is a critical technical leadership role responsible for platform administration, production stability, troubleshooting, release management, and technical coordination across Snowflake, Talend, AWS, Streamlit, and GitHub. The successful candidate will initially focus on knowledge transfer, taking ownership of existing platforms, and ensuring continuity of production operations. This is an initial three-month contract with the potential for extension based on business needs, performance, and client requirements.
We are looking for a hands-on technical problem-solver, not a project manager or a people-management-only architect.
Key Responsibilities
Data Platform Administration & Technical Ownership:
- Take technical ownership of enterprise data platforms across Snowflake, Talend, AWS, and related technologies.
- Complete structured knowledge transfer from the existing technical architect.
- Troubleshoot complex production issues involving data pipelines, cloud infrastructure, authentication, and integrations.
- Review SQL, data models, technical designs, and platform configurations.
- Support new project onboarding and DEV, QA, and PROD environment provisioning.
Snowflake Administration:
- Manage Snowflake databases, warehouses, users, roles, and RBAC security.
- Troubleshoot Snowflake tasks, streams, data pipelines, and performance issues.
- Optimize SQL queries, warehouse utilization, and resource consumption.
- Support authentication, security policies, service accounts, and integrations.
- Assist with backup, replication, recovery, and platform lifecycle management.
Talend Administration & ETL Support:
- Administer Talend environments, remote engines, job servers, schedules, and execution plans.
- Troubleshoot ETL failures, API integrations, pagination issues, connectivity, and performance bottlenecks.
- Manage Talend contexts, configurations, reusable frameworks, and deployment processes.
- Support production ETL monitoring, incident resolution, and root-cause analysis.
AWS Cloud & Integration Support:
- Support AWS services including S3, Glue, IAM, CloudWatch, and related integrations.
- Manage S3 configurations, permissions, data transfers, and lifecycle policies.
- Troubleshoot Glue jobs, cloud connectivity, API integrations, and service failures.
- Support cloud environment provisioning, security configurations, and operational monitoring.
DevOps, GitHub & Production Deployments:
- Coordinate and execute production deployments across Snowflake, Talend, AWS, and Streamlit components.
- Manage GitHub repositories, CI/CD pipelines, pull requests, approvals, and release processes.
- Validate deployment prerequisites, change approvals, rollback procedures, and production readiness.
- Troubleshoot deployment failures and support controlled recovery.
Platform Security, Compliance & Operations:
- Support SSO, RBAC, credential management, key rotation, and security vulnerability remediation.
- Follow established change-control, security, and GxP-related procedures.
- Investigate critical L2/L3 production incidents and implement permanent corrective actions.
- Collaborate with development, monitoring, infrastructure, and operations teams.
- Improve operational runbooks, monitoring, alerting, and platform reliability.
Knowledge Transfer & Technical Leadership:
- Complete knowledge transfer from our team and assume ownership of critical platform activities.
- Document architecture, configurations, dependencies, known issues, and operational procedures.
- Provide hands-on technical guidance to offshore engineers and production support teams.
- Support a structured knowledge transfer to the offshore team to ensure long-term operational continuity.
- Collaborate with US-based client stakeholders and technical leadership.
Required Qualifications
- 8+ years of hands-on experience in data engineering, platform administration, cloud data platforms, or technical leadership.
- Strong practical experience with Talend administration, ETL troubleshooting, and production deployments.
- Strong experience with Snowflake administration, SQL, performance optimization, and RBAC.
- Hands-on experience with AWS S3, Glue, IAM, and CloudWatch.
- Experience with GitHub, CI/CD pipelines, release management, and environment promotions.
- Strong SQL troubleshooting, data modeling, and integration skills.
- Experience troubleshooting REST APIs, authentication, connectivity, and data pipeline failures.
- Proven ability to independently resolve critical production incidents.
- Experience supporting enterprise production environments.
- Strong communication, documentation, and technical coordination skills.
- Availability to work onsite in New Jersey as required.
Location: New Jersey, USA (Onsite/Hybrid)
Employment Type: Contract - Initial 3 Months (Potential Extension)
Experience: 8+ years
Industry: Pharmaceutical / Life Sciences Technology
Start Date: Immediate or short notice preferred
About the Role
Fipsar is seeking an experienced, hands-on Senior Data Platform Technical Lead to support enterprise data platforms for a leading global pharmaceutical client. This is a critical technical leadership role responsible for platform administration, production stability, troubleshooting, release management, and technical coordination across Snowflake, Talend, AWS, Streamlit, and GitHub. The successful candidate will initially focus on knowledge transfer, taking ownership of existing platforms, and ensuring continuity of production operations. This is an initial three-month contract with the potential for extension based on business needs, performance, and client requirements.
We are looking for a hands-on technical problem-solver, not a project manager or a people-management-only architect.
Key Responsibilities
Data Platform Administration & Technical Ownership:
- Take technical ownership of enterprise data platforms across Snowflake, Talend, AWS, and related technologies.
- Complete structured knowledge transfer from the existing technical architect.
- Troubleshoot complex production issues involving data pipelines, cloud infrastructure, authentication, and integrations.
- Review SQL, data models, technical designs, and platform configurations.
- Support new project onboarding and DEV, QA, and PROD environment provisioning.
Snowflake Administration:
- Manage Snowflake databases, warehouses, users, roles, and RBAC security.
- Troubleshoot Snowflake tasks, streams, data pipelines, and performance issues.
- Optimize SQL queries, warehouse utilization, and resource consumption.
- Support authentication, security policies, service accounts, and integrations.
- Assist with backup, replication, recovery, and platform lifecycle management.
Talend Administration & ETL Support:
- Administer Talend environments, remote engines, job servers, schedules, and execution plans.
- Troubleshoot ETL failures, API integrations, pagination issues, connectivity, and performance bottlenecks.
- Manage Talend contexts, configurations, reusable frameworks, and deployment processes.
- Support production ETL monitoring, incident resolution, and root-cause analysis.
AWS Cloud & Integration Support:
- Support AWS services including S3, Glue, IAM, CloudWatch, and related integrations.
- Manage S3 configurations, permissions, data transfers, and lifecycle policies.
- Troubleshoot Glue jobs, cloud connectivity, API integrations, and service failures.
- Support cloud environment provisioning, security configurations, and operational monitoring.
DevOps, GitHub & Production Deployments:
- Coordinate and execute production deployments across Snowflake, Talend, AWS, and Streamlit components.
- Manage GitHub repositories, CI/CD pipelines, pull requests, approvals, and release processes.
- Validate deployment prerequisites, change approvals, rollback procedures, and production readiness.
- Troubleshoot deployment failures and support controlled recovery.
Platform Security, Compliance & Operations:
- Support SSO, RBAC, credential management, key rotation, and security vulnerability remediation.
- Follow established change-control, security, and GxP-related procedures.
- Investigate critical L2/L3 production incidents and implement permanent corrective actions.
- Collaborate with development, monitoring, infrastructure, and operations teams.
- Improve operational runbooks, monitoring, alerting, and platform reliability.
Knowledge Transfer & Technical Leadership:
- Complete knowledge transfer from our team and assume ownership of critical platform activities.
- Document architecture, configurations, dependencies, known issues, and operational procedures.
- Provide hands-on technical guidance to offshore engineers and production support teams.
- Support a structured knowledge transfer to the offshore team to ensure long-term operational continuity.
- Collaborate with US-based client stakeholders and technical leadership.
Required Qualifications
- 8+ years of hands-on experience in data engineering, platform administration, cloud data platforms, or technical leadership.
- Strong practical experience with Talend administration, ETL troubleshooting, and production deployments.
- Strong experience with Snowflake administration, SQL, performance optimization, and RBAC.
- Hands-on experience with AWS S3, Glue, IAM, and CloudWatch.
- Experience with GitHub, CI/CD pipelines, release management, and environment promotions.
- Strong SQL troubleshooting, data modeling, and integration skills.
- Experience troubleshooting REST APIs, authentication, connectivity, and data pipeline failures.
- Proven ability to independently resolve critical production incidents.
- Experience supporting enterprise production environments.
- Strong communication, documentation, and technical coordination skills.
- Availability to work onsite in New Jersey as required.
See All 11 Data Platform Engineer Jobs in New Jersey
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Find Data Platform Engineer JobsData Platform Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Data Platform Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
What New Jersey Employers Look For
The qualifications that appear most often in data platform engineer jobs across New Jersey.
- Bachelor's degree in computer science, data engineering, or a closely related field
- Hands-on experience designing and maintaining large-scale data pipelines in production environments
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud for data infrastructure
- Strong command of SQL and at least one scripting language, commonly Python or Scala
- Experience with orchestration tools such as Apache Airflow, dbt, or Spark for workflow management
- Familiarity with data warehousing platforms like Snowflake, Databricks, or Amazon Redshift
Data Platform Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a data platform engineer in New Jersey?
Most data platform engineer roles in New Jersey do not require a state-issued license, so the path centers on education and demonstrated technical skill. Employers in the state typically expect a bachelor's degree in computer science or a related field, along with hands-on experience building data pipelines in cloud environments. Earning vendor certifications such as AWS Certified Data Engineer or Databricks Certified Associate Developer strengthens candidacy, particularly with New Jersey's large financial and pharmaceutical employers.
How much do data platform engineers make in New Jersey?
Data platform engineers in New Jersey earn a median of about $120,790 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $86,230 for the lowest 10% to over $197,950 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data platform engineers in New Jersey?
Employers hiring data platform engineers in New Jersey right now include JPMorganChase, Osmo, and SS&C, based on current listings on Migrate Mate as of November 2026. New Jersey's concentration of Fortune 500 headquarters in pharmaceuticals and financial services means many of these openings are with large enterprises running complex, high-volume data environments.
Which New Jersey cities have the most data platform engineer jobs?
Jersey City, New Jersey, and Elizabeth lead New Jersey for data platform engineer openings. Newark and Jersey City draw the most postings because of the dense concentration of financial services firms and technology consultancies just across from New York City, while Princeton attracts openings tied to pharmaceutical and life sciences companies that maintain major research and operations campuses in the area.
Are there remote data platform engineer jobs in New Jersey?
Yes, and more than most fields. About 100% of data platform engineer openings tied to New Jersey are remote or hybrid as of November 2026, reflecting how much of the role's work lives in cloud consoles, notebooks, and CI/CD pipelines rather than on-site infrastructure. The tasks most commonly offered fully remote are pipeline development, data modeling, and code review, while architecture planning and stakeholder collaboration often require occasional in-office presence.
How can I get hired as a data platform engineer in New Jersey with little or no experience?
The most realistic entry path is through a data analyst or business intelligence developer role, both of which are common stepping stones at New Jersey's large pharmaceutical and financial employers. Companies like Cognizant and Conduent regularly hire associate data engineers and technology trainees out of four-year programs, while employers in Princeton's life sciences corridor look favorably on candidates who can show a GitHub portfolio of pipeline or transformation projects. Earning a Databricks Associate or AWS Cloud Practitioner certification before applying gives entry-level candidates a measurable edge in New Jersey listings.
Where can I find and apply to data platform engineer jobs in New Jersey?
You can find and apply to data platform engineer jobs in New Jersey on Migrate Mate, which lists current openings from employers across the state. Search the available roles, identify the ones that match your experience and target location, and apply directly to the ones that fit.
See All 11 Data Platform Engineer Jobs in New Jersey
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