Data Engineer Jobs in New Jersey
Data Engineer jobs in New Jersey are in strong demand, with openings concentrated in financial services, pharmaceuticals, and telecommunications across a range from entry-level analysts to senior architects. The most active hiring metros are Jersey City, Newark, and Princeton, where firms like Johnson & Johnson, Prudential Financial, and Cognizant maintain large technology operations. The most sought-after specialties are cloud data infrastructure, real-time pipeline development, and analytics engineering. Find a role that fits below and apply directly.
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We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Experience in building data pipelines using AWS/Databricks
- Advanced in Java/spring/SQL/Python/Spark
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Applied AI experience is preferred (langchain/langgraph/agentic workflows/AIOps)
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Experience in building data pipelines using AWS/Databricks
- Advanced in Java/spring/SQL/Python/Spark
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Applied AI experience is preferred (langchain/langgraph/agentic workflows/AIOps)
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See All 88 Data Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Data Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
- JPMorganChase13
- Capgemini8
- JSR Tech Consulting4
- Citi3
- Campbell's3
Top Industries Hiring
- Technology & Software
- Investment & Asset Management
- Food & Beverage
- Construction & Real Estate
- Transportation & Logistics
What New Jersey Employers Look For
The qualifications that appear most often in data engineer jobs across New Jersey.
- Bachelor's degree in computer science, engineering, or a related technical field
- Proficiency in SQL and at least one programming language such as Python or Scala
- Hands-on experience building and maintaining data pipelines or ETL workflows
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Experience with distributed data systems such as Spark, Kafka, or Databricks
- Strong understanding of data modeling, warehousing concepts, and schema design
Data Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a data engineer in New Jersey?
There is no state-issued license required to work as a data engineer in New Jersey. Most employers in the state expect a bachelor's degree in computer science, information systems, or a related field, along with demonstrated skills in SQL, Python, and cloud platforms. New Jersey's dense concentration of financial and pharmaceutical employers means candidates with domain knowledge in those industries, combined with a strong technical portfolio, are especially competitive for entry and mid-level roles.
Which companies hire data engineers in New Jersey?
Employers hiring data engineers in New Jersey right now include JPMorganChase, Capgemini, and JSR Tech Consulting, based on current listings on Migrate Mate as of September 2026. New Jersey's mix of global pharmaceutical headquarters, financial services firms, and large technology consultancies makes it one of the more active states for data engineering hiring along the East Coast.
Which New Jersey cities have the most data engineer jobs?
Jersey City, Bridgewater, and Newark have the most data engineer openings in New Jersey. Jersey City and Newark are driven largely by financial services firms and technology consultancies with proximity to New York City, while Princeton draws openings from pharmaceutical and life sciences companies headquartered in the Route 1 corridor, making each city's concentration reflect its dominant industry rather than overall market size.
Are there remote data engineer jobs in New Jersey?
Yes, and more than most fields. About 80% of data engineer openings tied to New Jersey are remote or hybrid as of September 2026, reflecting the desk-based and cloud-centered nature of the work. Pipeline development, analytics engineering, and data modeling roles tend to be the most remote-friendly, while positions requiring close collaboration with on-site data infrastructure or laboratory systems in pharmaceutical settings are more likely to require in-person presence.
How can I get hired as a data engineer in New Jersey with little or no experience?
The most realistic entry path is moving into a data engineering role from an adjacent position such as data analyst, business intelligence developer, or database administrator. Large New Jersey employers in financial services and pharmaceuticals, including major firms along the Route 1 corridor, regularly hire associate or junior data engineers from internal transfers and new-graduate programs. Building a portfolio of end-to-end pipeline projects using publicly available datasets and earning a cloud certification such as AWS or Google Cloud strengthens a candidate's case considerably for these programs.
Where can I find and apply to data engineer jobs in New Jersey?
You can find and apply to data engineer jobs in New Jersey on Migrate Mate, which lists current New Jersey openings updated regularly. Find the roles that fit your experience and location, then apply directly to each one from the listing.
See All 88 Data Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
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