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As an Experienced Data Platform Engineer at JPMorgan Chase within the Corporate Technology team, you will be a key member of an agile team, responsible for designing and delivering the trusted, market-leading data platforms and infrastructure that our products and teams depend on, in a secure, stable, and scalable manner.
Job responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Designs, develops, and operates scalable data platform services and pipelines, and produces secure and high-quality production code, while reviewing and debugging code written by others
- Drives decisions that influence data platform architecture, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus (e.g., distributed data processing, data storage, platform reliability)
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.
- Influences peers and project decision-makers to consider the use and application of leading-edge data and backend technologies
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 10+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability for data platforms and backend systems
- Advanced proficiency across both Python and Java, with strong general backend engineering experience (e.g., building APIs, services, and distributed systems)
- Strong big data and database skills, including hands-on experience with Spark, Databricks, and/or Data Lake, and building large-scale data pipelines
- Experience designing and operating data platform components like ingestion, processing, storage, and access/serving layers and experience with AWS cloud computing using ECS, EKS, EMR, Lambda, etc.
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.
- Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, distributed data processing, artificial intelligence, machine learning, etc.)
- Ability to tackle design and functionality problems independently with little to no oversight
- Experience in developing, debugging, and maintaining code in a large corporate environment and ability to collaborate well with global teams in geographically distributed locations across time zones
- Self-starter, able to reach out to various team members, users, and partner teams to get solutions delivered.
Preferred qualifications, capabilities, and skills
- AI, ML, Claude, MCP
- Familiar with agile development methodologies (e.g., Scrum) and CI/CD, Applicant Resiliency, and Security
- Experience with data orchestration and workflow tools (e.g., Airflow) and streaming technologies (e.g., Kafka)
Skills Required
- Formal training or certification in software engineering concepts and 10+ years of applied experience
- Hands-on experience with system design, application development, testing, and operational stability for data platforms and backend systems
- Advanced proficiency in both Python and Java
- Strong backend engineering experience building APIs, services, and distributed systems
- Strong big data and database skills, including Spark, Databricks, and/or Data Lake experience
- Experience building large-scale data pipelines
- Experience designing and operating data platform ingestion, processing, storage, and access or serving layers
- Experience with AWS cloud services such as ECS, EKS, EMR, and Lambda
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools
- Experience defining AI-assisted development governance, human-in-the-loop validation, quality gates, outcome measurement, and secure handling of sensitive inputs and outputs
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity, resiliency, security, and controls
- Ability to coach managers and technical leads and influence leaders on safe AI scaling patterns
- Advanced knowledge of software applications and technical processes, with deep expertise in one or more technical disciplines
- Ability to independently solve design and functionality problems with little to no oversight
- Experience developing, debugging, and maintaining code in a large corporate environment
- Ability to collaborate with global teams across geographically distributed time zones
- Self-starter with the ability to engage team members, users, and partner teams to deliver solutions
- Experience or knowledge of AI, machine learning, Claude, or MCP
- Familiarity with Agile methodologies such as Scrum, CI/CD, application resiliency, and security
- Experience with Airflow or other data orchestration and workflow tools
- Experience with streaming technologies such as Kafka
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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