JPMorganChase Logo

JPMorganChase

Software Engineer III: Data Engineer

Posted 3 Hours Ago
Be an Early Applicant
Hybrid
2 Locations
Mid level
Hybrid
2 Locations
Mid level
Designs, develops, tests, and maintains secure, scalable data pipelines and architectures. Performs data modeling, ETL, SQL and NoSQL development, statistical analysis, performance tuning, and troubleshooting. Builds production code using Python and PySpark in AWS, supports data controls and operational stability, and creates reporting and visualizations from large datasets. Applies Agile, CI/CD, TDD or BDD practices and responsibly uses AI-assisted development tools.
The summary above was generated by AI

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.


 
As a Data Engineer III at JPMorgan Chase within the Consumer & Community Banking Connected Commerce – Banking Payments organization, you serve as a seasoned member of an agile team responsible for designing and delivering trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable manner. You develop, test, and maintain critical data pipelines and data architectures across multiple technical domains and business functions, ensuring high-quality, reliable data capabilities that support and advance the firm’s strategic business objectives.
 

Job responsibilities

 

  • Supports review of controls to ensure sufficient protection of enterprise data
  • 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 .
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
  • Proactively identifies hidden problems, patterns in data, and uses these insights to drive improvements to coding hygiene and system architecture.
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Updates logical or physical data models based on new use cases
  • Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
  • 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.

Required qualifications, capabilities, and skills

 

  • Formal training or certification on Software Engineering concepts and 3+ years applied experience 
  • Working understanding of NoSQL databases with Advanced at SQL (e.g., joins and aggregations)
  • Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
  • Experience in ETL process/Advance concepts
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience in AWS, design, implementation, and maintenance of data pipelines using Python and PySpark (secondary alternative: Java)
  • Experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck
  • Proficiency in Unix scripting, data structures, data serialization formats such as JSON, AVRO, Protobuf, or similar, big-data storage formats such as Parquet, Iceberg, or similar, data processing methodologies such as batch, micro-batching, or stream, one or more data modelling techniques such as Dimensional, Data Vault, Kimball, Inmon, etc., Agile methodology, TDD or BDD and CI/CD tools
  • 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.

Preferred qualifications, capabilities, and skills
  • Python Advance development skills  / Kafka & S3 integration in Performance optimization, Lambda, ECS, EKS, Kinesis, CloudWatch
  • Experience in carrying out data analysis to support business insights
  • Strong in PySpark, AWS, Terraform & Snowflake, GitHub Copilot, Airflow, Kubernetes
About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

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.

Equal Opportunity Employer/Disability/Veterans

About the TeamOur Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
HQ

JPMorganChase New York, New York, USA Office

270 Park Avenue, New York, NY, United States, 10017-2014

JPMorganChase New York, New York, USA Office

4 Metrotech Center, New York, NY, United States, 11201

Similar Jobs

47 Seconds Ago
Hybrid
2 Locations
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Develop and implement marketing technology and digital strategies for clients, analyze campaign performance, manage CRM processes, and optimize customer engagement. Lead digital merchandising, content marketing, product positioning, pricing strategies, and marketing operations. Build client relationships, prospect for business opportunities, mentor junior team members, and deliver technology-enabled solutions aligned with business objectives.
Top Skills: Crm SoftwareDigital MarketingSocial Media
Senior level
Financial Services
Lead end-to-end pilot and commercialization programs for payments products: manage pilot readiness, governance, execution, analytics, cross-functional delivery, and scale-to-growth efforts to drive adoption, expansion, and revenue.
Top Skills: APIsCloud-Based PlatformsConfluenceHTMLJIRAMobile ApplicationsMondayPythonSnowflakeSplunkSQLWeb Services
6 Minutes Ago
Hybrid
New York, NY, USA
Mid level
Mid level
Financial Services
Design, build, and operate cloud-native, highly scalable distributed backend systems. Own end-to-end delivery of complex backend components, participate in design and architecture reviews, identify and fix performance bottlenecks, mentor junior engineers, and integrate services with messaging systems, databases, containers, and CI/CD pipelines.
Top Skills: AWSCi/CdDockerGithub CopilotJavaKafkaKubernetesMicroservicesNoSQLRabbitMQRelational DatabasesRestful ApisSpring Boot

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account