Python Engineer Jobs in New Jersey
Python Engineer jobs in New Jersey are among the most active in the Mid-Atlantic region, with strong demand from financial services firms, pharmaceuticals, and enterprise technology companies hiring at every level from junior developer through principal engineer. The heaviest concentration of openings is in Jersey City, Newark, and Princeton, where employers like JPMorgan Chase, Johnson & Johnson, and Cognizant maintain significant engineering operations. The most sought-after specialties in New Jersey right now are data pipeline development, machine learning infrastructure, and backend API engineering. Find a role that fits below and apply directly.
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As a Software Engineer III - Python/ AI at JPMorganChase within the Commercial and Investment Bank , you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Build and maintain UI dashboards using React/TypeScript and backend services in the Python stack
- Design and deliver data pipelines/ETL on modern data platforms (e.g., Databricks, Snowflake)
- Execute software design, development, testing, and technical troubleshooting across the SDLC
- Ensure large language models (LLMs) are used as controlled, well-understood components of the engineering lifecycle (enterprise-approved models)
- Lead structured requirements analysis using LLM-assisted workflows to translate business and regulatory needs into clear technical specifications
- Establish best practices for prompt-driven design and development, treating prompts as versioned, reviewable engineering artifacts
- Ensure prompt strategies support determinism, reproducibility, traceability, and auditability in regulated environments
- Ensure LLM-driven systems meet enterprise reliability, resilience, and security expectations
- Coach teams on safe, compliant LLM/agent usage by documenting strengths, limitations, and risk profiles for different classes of engineering work
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Strong Python skills, including familiarity with agentic development practices
- Experience with database design and data modeling on modern data platforms (e.g., Databricks, Snowflake)
- Hands-on experience using approved AI-assisted development tools (e.g., copilots/LLM coding assistants) to design and deliver end-to-end applications, with strong validation habits for correctness, performance, and security
- Experience developing, debugging, and maintaining code in a large enterprise environment using one or more modern programming languages and database querying languages
- Strong understanding of SDLC and agile delivery practices, including CI/CD, application resiliency, and security controls
- Strong understanding of responsible AI use in engineering workflows (data sensitivity, secure handling of inputs/outputs, resiliency/security expectations), including experience coaching engineers on compliant adoption
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Familiarity with modern front-end technologies
- Experience in Risk and Pnl in Markets
- Exposure to public cloud, with preference for AWS
- Knowledge of Financial Markets and Products (Fixed Income, Derivatives) and Treasury concepts)
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
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
As a Software Engineer III - Python/ AI at JPMorganChase within the Commercial and Investment Bank , you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Build and maintain UI dashboards using React/TypeScript and backend services in the Python stack
- Design and deliver data pipelines/ETL on modern data platforms (e.g., Databricks, Snowflake)
- Execute software design, development, testing, and technical troubleshooting across the SDLC
- Ensure large language models (LLMs) are used as controlled, well-understood components of the engineering lifecycle (enterprise-approved models)
- Lead structured requirements analysis using LLM-assisted workflows to translate business and regulatory needs into clear technical specifications
- Establish best practices for prompt-driven design and development, treating prompts as versioned, reviewable engineering artifacts
- Ensure prompt strategies support determinism, reproducibility, traceability, and auditability in regulated environments
- Ensure LLM-driven systems meet enterprise reliability, resilience, and security expectations
- Coach teams on safe, compliant LLM/agent usage by documenting strengths, limitations, and risk profiles for different classes of engineering work
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Strong Python skills, including familiarity with agentic development practices
- Experience with database design and data modeling on modern data platforms (e.g., Databricks, Snowflake)
- Hands-on experience using approved AI-assisted development tools (e.g., copilots/LLM coding assistants) to design and deliver end-to-end applications, with strong validation habits for correctness, performance, and security
- Experience developing, debugging, and maintaining code in a large enterprise environment using one or more modern programming languages and database querying languages
- Strong understanding of SDLC and agile delivery practices, including CI/CD, application resiliency, and security controls
- Strong understanding of responsible AI use in engineering workflows (data sensitivity, secure handling of inputs/outputs, resiliency/security expectations), including experience coaching engineers on compliant adoption
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Familiarity with modern front-end technologies
- Experience in Risk and Pnl in Markets
- Exposure to public cloud, with preference for AWS
- Knowledge of Financial Markets and Products (Fixed Income, Derivatives) and Treasury concepts)
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
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
See All 35 Python Engineer Jobs in New Jersey
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Find Python Engineer JobsPython Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Python Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
- JPMorganChase18
- Citi4
- Accenture2
- Logic2
- Tms1
Top Industries Hiring
- Investment & Asset Management
- Banking & Financial Services
- Fintech
- Technology & Software
- Construction & Real Estate
What New Jersey Employers Look For
The qualifications that appear most often in python engineer jobs across New Jersey.
- Proficiency in Python with demonstrated experience building production-grade applications
- Bachelor's degree in computer science, software engineering, or a related technical field
- Experience with frameworks such as Django, Flask, or FastAPI for backend development
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud environments
- Understanding of data structures, algorithms, and software design patterns
- Experience with version control systems, particularly Git, and CI/CD pipeline tooling
Python Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a python engineer in New Jersey?
Python engineering has no state-issued license in New Jersey, so the path runs through education and demonstrated technical skill. Most employers in the state expect a bachelor's degree in computer science, software engineering, or a closely related field, though strong candidates with associate degrees and a compelling project portfolio also get hired. Building experience through internships at New Jersey's large financial services or pharmaceutical firms, or contributing to open-source projects, is the most direct route into full-time roles.
How much do python engineers make in New Jersey?
Python engineers in New Jersey earn a median of about $135,940 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $84,880 for the lowest 10% to over $207,200 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire python engineers in New Jersey?
Employers hiring python engineers in New Jersey right now include JPMorganChase, Citi, and Accenture, based on current listings on Migrate Mate as of August 2026. New Jersey's concentration of financial services headquarters in Jersey City and life sciences companies along the Route 1 corridor means openings here skew heavily toward data-intensive and enterprise-scale Python work.
Which New Jersey cities have the most python engineer jobs?
Jersey City, Morristown, and Rutherford lead New Jersey in python engineer openings. Jersey City and Newark draw demand from financial services firms and large technology consultancies that operate just across from Manhattan, while Princeton and the Route 1 corridor generate steady openings from pharmaceutical and life sciences companies headquartered in that part of the state.
Are there remote python engineer jobs in New Jersey?
Yes, and more than most fields. About 50% of python engineer openings tied to New Jersey are remote or hybrid as of August 2026, reflecting how readily the work translates to distributed teams. Backend development, data pipeline work, and API engineering are the sub-areas most likely to be fully remote, while roles requiring close collaboration with on-site infrastructure or hardware teams tend to stay hybrid or in-office.
How can I get hired as a python engineer in New Jersey with little or no experience?
The most realistic entry path is a junior developer or associate software engineer role, which large New Jersey employers in financial services and pharmaceuticals post specifically for candidates without extensive professional experience. Companies like Cognizant and similar IT services firms operating out of Newark and Iselin run structured new-grad programs that pair entry-level engineers with senior mentors. A focused portfolio of Python projects on GitHub, combined with a relevant internship or a contribution to an open-source project, is the credential that moves a junior resume to the top of the pile at New Jersey hiring teams.
Where can I find and apply to python engineer jobs in New Jersey?
You can find and apply to python engineer jobs in New Jersey on Migrate Mate, which lists current openings across the state. Search the listings, find roles that fit your experience and location preferences, and apply directly to the ones that match.
See All 35 Python 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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