JPMorganChase Logo

JPMorganChase

Software Engineer II: Data Engineer

Reposted Yesterday
Hybrid
2 Locations
Junior
Hybrid
2 Locations
Junior
Designs, develops, tests, and maintains secure, scalable data pipelines and architectures. Ensures data quality, performance tuning, ETL processing, and storage. Uses SQL/NoSQL, Python/PySpark, AWS, and data serialization/storage formats. Produces design artifacts, visualizations, and reporting; applies SDLC tools, CI/CD, TDD/BDD, and enterprise AI-assisted coding tools while enforcing data controls and security.
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 II 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 2+ 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

16 Days Ago
In-Office
New York, NY, USA
123K-165K Annually
Mid level
123K-165K Annually
Mid level
Digital Media • Gaming • News + Entertainment • Sports
Build and maintain high-performance, scalable backend systems for Disney Streaming. Implement and test new features, participate in code reviews, support production incidents via on-call rotation, and collaborate in agile team ceremonies.
Top Skills: Asynchronous ProgrammingCi/CdCloud InfrastructureDatadogDockerGitGoJavaJavaScriptJenkinsKafkaKinesisKotlinNew RelicNoSQLPythonRelational DatabasesScalaSqsTypescript
23 Days Ago
In-Office
New York, NY, USA
Junior
Junior
AdTech • Digital Media
The Software Engineer II will design, build, and maintain robust data pipelines for advertising systems, focusing on data governance and compliance, collaborating globally, and troubleshooting distributed environments.
Top Skills: Apache AirflowSparkAWSAzureDatabricksGCPPysparkScala
A Minute Ago
In-Office
New York, NY, USA
195K-205K Annually
Senior level
195K-205K Annually
Senior level
Fintech
Lead product strategy, roadmap, and technical specifications for a private equity fund accounting SaaS. Translate complex business requirements into data models, calculation logic, and architecture. Collaborate with engineers on SDLC/agile delivery, optimize SQL-backed calculation engines, define React frontend requirements, conduct technical feasibility analyses, and manage end-to-end product lifecycle using AI-assisted tools and analytics.
Top Skills: Ai-Assisted ToolsLarge Language ModelsProduct Analytics ToolsReactSaas PlatformsSQL

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