lead software engineer- python / big data / aws/ etl pipelines

senior java developer - big data platform

software engineer iii - data engineering java/python

transformation and innovation team - data domain modeling engineer associate

anaplan solution delivery - vice president

lead software engineer- python / big data / aws/ etl pipelines Jobs in Jersey City

senior java developer - big data platform Jobs in Jersey City

software engineer iii - data engineering java/python Jobs in Jersey City

transformation and innovation team - data domain modeling engineer associate Jobs in Jersey City

data solution engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Join a team where your curiosity and technical mastery will impact innovation and deliver measurable results and work to build scalable, end-to-end data products that enable centralized, self-service data sourcing through an array of consumption patterns optimized for Planning and Analysis functions.</p><p>
As a Data Domain Modeling Engineer, within the Transformation and Innovation team, you will design and implement end-to-end data models starting from raw data to the semantic layer that makes our data more accessible and understandable for different persona ranging from finance users, data analysts, automation, quantitative research and machine learning teams.
</p><p><b>Job Responsibilities:</b></p><ul><li>
Design, develop, and refine data models that address different P&amp;A community, ensuring effective delivery and usability of data product.
</li><li>Work with business and data partners to understand data requirements, investigate data sources and recommend improvements to data processes or structures.
</li><li>Produce data analysis to address questions from stakeholders, supporting the understanding and adoption of data solution</li><li>
Support different variety of data sets and use cases relating to Planning &amp; Analysis processes, collaborating with senior team members on solution design</li><li>
Contribute ideas and assist in developing solution for key data challenges and help implements innovative solutions at the bank such as enterprise data catalog, and AI-enabled conversational analytics</li><li>
Collaborate with other high-performing teams within JPM to inspire innovation and champion change throughout the bank
</li></ul><p><b>Required qualifications, capabilities, and skills
</b></p><ul><li>Bachelor&rsquo;s degree in computer science, data science, information systems, business analytics, or related discipline; 3+ years of relevant experience in developing, testing, and refining data models and analytic prototypes using dimensional and relational data models</li><li>
Demonstrate experience using SQL and Python for data analysis, data engineering and transformation; comfortable with writing queries and scripts to uncover business insight and build data solution</li><li>
Hands on in building and prototyping data model to address and support user reporting delivery</li><li>
Curious and inquisitive mind to dig deep into the business and data to understand the context</li><li>
Comfortable working with evolving requirement and proactively seek out information to clarify objective</li><li>
Strong communication skills to present data findings and support data consumers</li></ul><p><b>
Preferred qualifications, capabilities, and skills
</b></p><ul><li>Experience with Databricks</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Transformation and Innovation Team - Data Domain Modeling Engineer Associate

<div><b>JOB DESCRIPTION</b><p><br>
Are you passionate about building the next generation of AI solutions? Join us to lead and mentor a team of talented engineers, drive innovation in generative and agentic AI, and deliver impactful, scalable technology for Risk Technology. You&rsquo;ll collaborate with cross-functional partners and play a key role in shaping the future of Asset and Wealth Management Risk.</p><p>
As a Lead Machine Learning Engineer &ndash; Agentic AI in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering and multi-agent system design to deliver complex, high-impact initiatives. You will mentor and guide a team of engineers, foster best practices in ML engineering, and partner with data science, product, and business teams to deliver end-to-end solutions that drive value for the Risk business.</p><p><b>
Job responsibilities:</b></p><ul><li>
Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions for the Risk business.</li><li>
Design and execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development.</li><li>
Develop multi-agent systems for orchestration, agent-to-agent communication, memory, telemetry, and guardrails.</li><li>
Guide research on context and prompt engineering techniques to improve prompt-based model performance, utilizing libraries such as SmartSDK and LangGraph.</li><li>
Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale.</li><li>
Build and maintain data pipelines and processing workflows for scalable, efficient data consumption.</li><li>
Write secure, high-quality production code and conduct code reviews.</li><li>
Partner with Data Science, Product, and Business teams to identify requirements and develop solutions.</li><li>
Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership.</li><li>
Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning.</li></ul><p><b>
Required qualifications, capabilities, and skills:</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.</li><li>
10+ years of experience in machine learning engineering.</li><li>
Strong proficiency in Python and experience deploying end-to-end pipelines on AWS.</li><li>
Hands-on experience in system design, application development, testing, and operational stability.</li><li>
Experience using LangGraph or SmartSDK for multi-agent orchestration.</li><li>
Experience with AWS and infrastructure-as-code tools such as Terraform.</li></ul><p><b>
Preferred qualifications, capabilities, and skills:</b></p><ul><li>
Strategic thinker with the ability to drive technical vision for business impact.</li><li>
Demonstrated leadership working with engineers, data scientists, and ML practitioners.</li><li>
Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines.</li><li>
Experience with agentic telemetry and evaluation services.</li><li>
Hands-on experience building and maintaining user interfaces.</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Lead Machine Learning Engineer – Agentic AI, Vice President

<div><b>JOB DESCRIPTION</b><p><br>
Join JPMorgan Chase&rsquo;s Firmwide P&amp;A Transformation and Innovation organization and help shape the future of planning and analysis. In this exciting role, you&rsquo;ll translate complex planning processes into scalable Anaplan solutions that improve quality and efficiency. You will partner closely with P&amp;A teams, product development, and stakeholders to drive adoption, deliver value, and continuously enhance our capabilities. Grow your expertise in enterprise planning technology while making a tangible impact across the firm!</p><p>
</p><p><b>Job Summary:</b>
</p><p>As an Anaplan Solution Delivery Vice President in the Anaplan Solution Delivery team within the Firmwide P&amp;A Transformation and Innovation organization, you will collaborate with internal clients across the Planning &amp; Analysis community with responsibility to turn their planning needs into well-designed Anaplan solutions. You&rsquo;ll own a client portfolio, coordinating / managing requirements, testing, training, and implementation to ensure high-quality delivery and strong user adoption. This is an individual contributor role that offers significant ownership, exposure, and opportunities to influence firmwide planning processes.</p><p><b>
Job Responsibilities:</b></p><ul><li>
Own and build relationships with P&amp;A clients as a trusted partner that understands their processes and pain-points.</li><li>
Document client use-cases and translate them into clear, written Anaplan model and UX specifications.</li><li>
Partner with Product Development to refine requirements, clarify edge cases, and align on release plans.</li><li>
Project manage solution implementations and feature updates, coordinating timelines and stakeholders.</li><li>
Maintain feed development efforts, maintain and prioritize backlogs of features and bug fixes in JIRA and the JPMC Feature Request Tool.</li><li>
Create intelligent test plans, execute functional testing, and coordinate user acceptance testing of Anaplan model and UX updates.</li><li>
Document test outcomes and traceability to requirements to ensure quality and compliance with acceptance criteria.</li><li>
Train P&amp;A users on new products and features, sharing tips and best practices to drive adoption and proficiency.</li><li>
Support clients in implementing Anaplan solutions into business processes, including process re-engineering and continuous improvement.</li><li>
Troubleshoot data, logic, and UX issues; triage and escalate with Product Development teams as needed.</li><li>
Maintain solution documentation, playbooks, user guides, and videos; contribute to change management presentations, demos, and other communications.</li></ul><p><b>
Required Qualifications, Capabilities, and Skills:</b></p><ul><li>
6 plus years of relevant experience with a bachelor&rsquo;s degree in business, finance, or data science; or 4 years with a master&rsquo;s degree.</li><li>
Excellent in-person, virtual, chat, email, and presentation communication skills with individuals and groups, adapting style to audience.</li><li>
Understanding of standard financial forecasting, planning, and budgeting processes across varied organizations.</li><li>
Strong relationship-building skills with P&amp;A professionals; ability to understand and speak their language.</li><li>
Foundational project management skills: planning, scheduling, risk, resource and stakeholder management, performance monitoring.</li><li>
Ability to translate business use cases into clear, testable technical requirements for technology products.</li><li>
Test planning and execution skills to validate that tools implement specified calculations correctly.</li><li>
Ability to perform standard calculations and manipulations used in P&amp;A budgeting and forecasting.</li><li>
Experience using the Anaplan platform as an end-user.</li><li>
Proficiency with Microsoft Office suite: Excel, PowerPoint, Teams, and Outlook.</li></ul><p><b>
Preferred Qualifications, Capabilities, and Skills:</b></p><ul><li>
3 plus years experience in Planning &amp; Analysis.</li><li>
3 plus years in technology product management and/or business analyst type roles.</li><li>
3 plus years using data wrangling tools such as Alteryx or SQL for reconciliations and validations.</li><li>
Anaplan Level 1 Model Builder certification or higher and/or hands-on experience building Anaplan models.</li><li>
Strong skills with Atlassian JIRA, including building customized in-tool reporting.</li><li>
Knowledge of and experience with Agile development.</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Anaplan Solution Delivery - Vice President

Deloitte

<div>As a Senior GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive GenAI &amp; engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.<br>
<br>
<b>Recruiting for this role ends on March 17, 2026.</b><br>
<br>
<b>Key Responsibilities</b><b>:</b><br>
<br>
<b>Outcome-Driven Accountability: </b>Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.<br>
<br>
<b>Technical Leadership and Advocacy: </b>Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support.<br>
<br>
<b>Engineering Craftsmanship: </b>Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.<br>
<br>
<b>Customer-Centric Engineering: </b>Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.<br>
<br>
<b>Incremental and Iterative Delivery: </b>Adopt a mindset that favors action and evidence over extensive planning. Utilize a learning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.<br>
<br>
<b>Cross-Functional Collaboration and Integration: </b>Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.<br>
<br>
<b>Advanced Technical Proficiency: </b>Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning.<br>
<br>
<b>Domain Expertise: </b>Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.<br>
<br>
<b>Effective Communication and Influence: </b>Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.<br>
<br>
<b>Engagement and Collaborative Co-Creation: </b>Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.<br>
<br>
<b>The team</b><b>:</b> US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.<br>
<br>
<b>Key Qualifications</b><b>:</b><br>
<ul><li>
A bachelor's degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.</li><li>
Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.</li><li>
3+ years of experience with in AI/ML, and experience with GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.</li><li>
Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.</li><li>
Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.</li><li>
Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.</li><li>
Strong understanding of methodologies &amp; tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.</li></ul><br>
<b>
Other:</b><br>
<ul><li>
Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.</li><li>
Ability to travel 10%, on average, based on the work you do and products you build.</li><li>
Limited immigration sponsorship may be available.</li></ul><br>
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $210,600.<br>
<br>
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.<br>
<br>
#EA_ExpHire<br>
<br>
#EA_ITS_ExpHire<br>
#PXE_JOBS</div>

Senior GenAI Engineer

Realign

<div>Jersey City, New Jersey 07030 Posted February 28th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Job Title:</b> Senior Generative AI Developer<br>
<b>Location </b>&ndash; Irving, TX / Tampa, FL / Jersey City, NJ (3 Days onsite/week)<br>
<b>FTE</b></div><div><b><br>
</b><br>
<b>Job Description:</b><br>
We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.</div><div></div><div><b><br>
Key Responsibilities:</b><br>
Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.<br>
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.<br>
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.<br>
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.<br>
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.<br>
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).<br>
Conduct performance tuning and optimization of AI models and APIs.<br>
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.</div><div><b><br>
Required Skills &amp; Qualifications</b><br>
8+ years of professional experience in software development and system design.<br>
Strong proficiency in Python and experience with FastAPI for API development.<br>
Hands-on experience with Generative AI frameworks and RAG architectures.<br>
Solid understanding of system and architecture design principles for distributed applications.<br>
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).<br>
Familiarity with vector databases, embedding models, and retrieval pipelines.<br>
Strong problem-solving skills and ability to work in a fast-paced environment.</div><div><b><br>
Preferred Qualifications</b><br>
Experience with LLM fine-tuning, prompt engineering, and model evaluation.<br>
Knowledge of containerization (Docker) and orchestration (Kubernetes).<br>
Exposure to CI/CD pipelines and DevOps practices.</div><br>
<p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

Senior Generative AI Developer-5

<div><b>JOB DESCRIPTION</b><p><br>
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
</p><p>As a Software Engineer III at JP Morgan Chase within the Corporate Risk Technology, you serve as a seasoned member of an Agile Engineering &amp; Architecture 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&rsquo;s business objectives.</p><p>
</p><p><b>Job responsibilities</b></p><ul><li>
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li><li>
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems</li><li>
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture</li><li>
Contributes to software engineering communities of practice and events that explore new and emerging technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 3 + years applied experience.</li><li>
Proficiency in Data Engineering &amp; Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise platforms and solutions</li><li>
Advanced in one or more programming language(s) eg. Java, Python, C/C++, C#</li><li>
Working knowledge of relational and NoSQL databases and data lake architectures</li><li>
Experience in developing, debugging, and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application &amp; DB.
</li><li>Experience in large scale data processing, using micro services, API design, Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal)</li><li>
Proficiency in automation and continuous delivery methods</li><li>
Proficient in all aspects of the Software Development Life Cycle</li><li>
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li><li>
Practical cloud native experience</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience with modern data technologies such as Databricks or Snowflake.</li><li>
Hands-on experience with Spark/PySpark and other big data processing technologies</li><li>
Knowledge of the financial services industry and their IT systems</li></ul><p>
</p><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Software Engineer III - Data Engineering Java/Python

<div><b>JOB DESCRIPTION</b><p><br>
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.</p><p>
As a Lead Software Engineer at JPMorganChase within the Corporate Sector, 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&rsquo;s business objectives.</p><p><b>
Job responsibilities</b></p><div>
</div><ul><li>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</li><li>
Develops secure high-quality production code, and reviews and debugs code written by others</li><li>
Defines and drives the technology roadmap, focusing on next-generation data, analytics, and automation platforms</li><li>
Leads the adoption and integration of cutting-edge technologies including Databricks, Snowflake, AWS, and modern web frameworks</li><li>
Architects scalable, secure, and resilient solutions for valuation control, pricing, and regulatory compliance</li><li>
Champions the use of AI, machine learning, and advanced analytics to deliver real-time risk insights and anomaly detection</li><li>
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li><li>
Designs and implements data pipelines, analytics workflows, and reporting solutions using Python, Databricks, and Spark</li><li>
Develops and maintains web-based applications and dashboards for valuation and risk management using modern web stacks (React, Angular, etc.)</li><li>
Builds and optimizes data models, ETL/ELT processes, and integration frameworks for large-scale financial data</li><li>
Ensures data quality, security, lineage, and governance across all team platforms</li></ul><p>
</p><p></p><p><b>Required qualifications, capabilities, and skills</b></p><div>
</div><ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Hands-on expertise in Python, Databricks, Spark, and data pipeline development</li><li>
Strong knowledge of cloud platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake, Databricks)</li><li>
Advanced proficiency in designing scalable, secure, and resilient systems for large-scale data environments</li><li>
Demonstrated ability to lead engineering teams, set technical direction, and deliver complex projects</li><li>
Demonstrated experience in leading and implementing standard software engineering practices, such as Agile development, code reviews, automated testing, CI/CD pipelines, and documentation</li><li>
Experience with data cataloging, metadata management, and data discovery tools (e.g., Collibra, Atlan, AWS Glue, Databricks Unity Catalog), including implementation and integration into enterprise platforms</li><li>
Proficiency in automation and continuous delivery methods</li><li>
Proficient in all aspects of the Software Development Life Cycle</li><li>
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li></ul><div><b>
Preferred qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Experience with AI / BI Tools and modern web development frameworks (React, Angular, etc.)</li><li>
Deep understanding of AI, machine learning, and advanced analytics techniques, with practical experience implementing ML models in production</li><li>
Proven experience in financial markets, risk management, or valuation control functions</li><li>
Exposure to vendor-based financial software solutions and integration</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
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<b>ABOUT THE TEAM</b><br>
<br>
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You&rsquo;ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Lead Software Engineer- Python / Big Data / AWS/ ETL Pipelines

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