Lead Software Engineer- Python / Big Data / AWS/ ETL Pipelines
Company: JPMorganChase
Location: Jersey City
Posted on: April 1, 2026
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Job Description:
Description We have an opportunity to impact your career and
provide an adventure where you can push the limits of what's
possible. 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’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 Develops secure high-quality production code, and reviews
and debugs code written by others Defines and drives the technology
roadmap, focusing on next-generation data, analytics, and
automation platforms Leads the adoption and integration of
cutting-edge technologies including Databricks, Snowflake, AWS, and
modern web frameworks Architects scalable, secure, and resilient
solutions for valuation control, pricing, and regulatory compliance
Champions the use of AI, machine learning, and advanced analytics
to deliver real-time risk insights and anomaly detection Identifies
opportunities to eliminate or automate remediation of recurring
issues to improve overall operational stability of software
applications and systems Designs and implements data pipelines,
analytics workflows, and reporting solutions using Python,
Databricks, and Spark Develops and maintains web-based applications
and dashboards for valuation and risk management using modern web
stacks (React, Angular, etc.) Builds and optimizes data models,
ETL/ELT processes, and integration frameworks for large-scale
financial data Ensures data quality, security, lineage, and
governance across all team platforms Required qualifications,
capabilities, and skills Formal training or certification on
software engineering concepts and 5 years applied experience
Hands-on practical experience delivering system design, application
development, testing, and operational stability Hands-on expertise
in Python, Databricks, Spark, and data pipeline development Strong
knowledge of cloud platforms (AWS, Azure, GCP) and data warehousing
solutions (Snowflake, Databricks) Advanced proficiency in designing
scalable, secure, and resilient systems for large-scale data
environments Demonstrated ability to lead engineering teams, set
technical direction, and deliver complex projects Demonstrated
experience in leading and implementing standard software
engineering practices, such as Agile development, code reviews,
automated testing, CI/CD pipelines, and documentation 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
Proficiency in automation and continuous delivery methods
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD,
Application Resiliency, and Security Preferred qualifications,
capabilities, and skills Experience with AI / BI Tools and modern
web development frameworks (React, Angular, etc.) Deep
understanding of AI, machine learning, and advanced analytics
techniques, with practical experience implementing ML models in
production Proven experience in financial markets, risk management,
or valuation control functions Exposure to vendor-based financial
software solutions and integration
Keywords: JPMorganChase, Danbury , Lead Software Engineer- Python / Big Data / AWS/ ETL Pipelines, IT / Software / Systems , Jersey City, Connecticut
