Analytics Engineer Jobs in New Jersey
Analytics Engineer jobs in New Jersey are in strong demand, with openings concentrated in financial services, pharmaceuticals, and enterprise technology across seniority levels from entry-level through principal and staff engineer. The most active hiring metros are Newark, Jersey City, and Princeton, where major employers including Johnson & Johnson, Prudential Financial, and Cognizant maintain large analytics and data organizations. The most sought-after specializations in New Jersey listings include data pipeline development, dbt and cloud warehouse implementation, and business intelligence infrastructure. Find a role that fits below and apply directly.
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Tech - Lead Software Engineer, 603 (SWES04)
Carry out critical tech solutions across multiple technical areas as an integral part of an agile team
Description for Internal Candidates
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 JPMorgan Chase within the Wholesale Credit Risk Technology Analytics Team, you are an integral part of a fast-paced agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you will be responsible for implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve 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
- Provide guidance to junior software engineers
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 7+ years applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in coding in Python
- Experience coding in Java
- 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.)
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
- Preferred qualifications, capabilities, and skills
- Practical cloud native experience (AWS)
- Databricks experience
- LLM Engineering experience
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 8 Analytics Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Analytics Engineer JobsAnalytics Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Analytics Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Transportation & Logistics
- Biotechnology & Pharmaceuticals
What New Jersey Employers Look For
The qualifications that appear most often in analytics engineer jobs across New Jersey.
- Bachelor's degree in computer science, statistics, engineering, or a related quantitative field
- Proficiency in SQL and at least one data transformation tool such as dbt
- Hands-on experience building and maintaining ELT pipelines on cloud platforms like Snowflake or BigQuery
- Familiarity with Python or Scala for data processing and pipeline automation tasks
- Experience with BI tools such as Tableau, Looker, or Power BI for downstream analytics delivery
- Strong communication skills for translating data models into clear outputs for business stakeholders
Analytics Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become an analytics engineer in New Jersey?
Most analytics engineer roles in New Jersey require a bachelor's degree in computer science, data science, statistics, or a related field. There is no state-issued license for this role in New Jersey. Employers typically want hands-on experience with SQL, cloud data warehouses, and transformation tools like dbt. Building a portfolio of pipeline and modeling projects, earning a cloud certification from AWS or Google, and targeting New Jersey's large financial services and pharma sectors are the most direct paths into the role.
How much do analytics engineers make in New Jersey?
Analytics engineers in New Jersey earn a median of about $135,280 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $80,720 for the lowest 10% to over $203,950 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire analytics engineers in New Jersey?
Employers hiring analytics engineers in New Jersey right now include JPMorganChase, BD, and EXL, based on current listings on Migrate Mate as of September 2026. New Jersey's concentration of Fortune 500 pharmaceutical and financial services headquarters means many of these openings are with large, established organizations running mature data platforms.
Which New Jersey cities have the most analytics engineer jobs?
Jersey City, New Jersey, and Edison have the most analytics engineer openings in New Jersey. Jersey City and Newark draw heavy demand from financial services firms with back-office and data operations on the Hudson waterfront, while Princeton anchors a cluster of pharmaceutical and biotech employers whose analytics teams sit close to their research campuses.
Are there remote analytics engineer jobs in New Jersey?
Yes, and more than most fields. Analytics engineering is a desk-based, tool-driven role that translates well to remote work. About 40% of analytics engineer openings tied to New Jersey are remote or hybrid as of September 2026, reflecting how broadly distributed data teams have become since the shift to cloud infrastructure. Pipeline development, data modeling, and documentation work are the parts of the role most commonly performed fully remotely.
How can I get hired as an analytics engineer in New Jersey with little or no experience?
The most realistic entry path is through a junior data analyst or business intelligence analyst role at one of New Jersey's large financial services or pharmaceutical employers, then moving into analytics engineering as you gain pipeline and modeling experience. Companies like Prudential Financial and major consultancies with New Jersey delivery centers run associate data programs that place early-career candidates on analytics teams. A strong portfolio demonstrating dbt models, SQL transformations, and a cloud warehouse project does more than any single credential to overcome a thin resume.
Where can I find and apply to analytics engineer jobs in New Jersey?
You can find and apply to analytics engineer jobs in New Jersey on Migrate Mate, which lists current New Jersey openings updated regularly. Search the available roles, find the ones that match your experience and location preferences, and apply directly to the employers posting them.
See All 8 Analytics Engineer Jobs in New Jersey
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