Lead Big Data Software Engineer - Spark, Java
Company: JPMorganChase
Location: Jersey City
Posted on: April 1, 2026
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Job Description:
Description You’re ready to gain the skills and experience
needed to grow within your role and advance your career — and we
have the perfect software engineering opportunity for you. As a
Lead Software Engineer at JPMorgan Chase within 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 design, development, and
technical troubleshooting across multiple technical areas within
various business functions in support of the firm’s business
objectives. Job responsibilities 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 Designs, develops,
codes, and troubleshoots with consideration of upstream and
downstream systems and technical implications Applies knowledge of
tools within the Software Development Life Cycle toolchain to
improve the value realized by automation Leads communities of
practice across Software Engineering to drive awareness and use of
new and leading-edge technologies Gathers, analyzes, and draws
conclusions from large, diverse data sets to identify problems and
contribute to decision-making in service of secure, stable
application development Develops secure high-quality production
code, and reviews and debugs code written by others Required
qualifications, capabilities, and skills Formal training or
certification on software engineering concepts and 5 years applied
experience Hands-on practical experience in system design,
application development, testing, and operational stability,
including AWS cloud computing Advanced proficiency in one or more
languages: Java, Python, Scala and Strong SQL and database skills
Experience with data structures and algorithms and efficient coding
practices Experience with Spark and distributed computing
Demonstrated proficiency in code optimization and refactoring to
enhance scalability and performance. Ability to collaborate well
with global teams in geographically distributed locations across
time zones Advanced understanding of agile methodologies, including
CI/CD, application resiliency, and security. Experience with
automation and continuous delivery methods. Preferred
qualifications, capabilities, and skills Exposure to cloud
technologies (AWS)
Keywords: JPMorganChase, New Rochelle , Lead Big Data Software Engineer - Spark, Java, IT / Software / Systems , Jersey City, New York
