Lead Data Engineer
Company: JPMorgan Chase & Co.
Location: Jersey City
Posted on: April 2, 2026
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Job Description:
Description Bring your Data Engineering skills to the next level
and join the AIML Data Platforms Fusion Data Management Team. In
this role as a Lead Analytics Data Engineer you will bring your
experience with Python / Java / Spark knowledge to help the
Securities Services business identify opportunities to improve
efficiency, increase revenue, optimize the operating model and risk
framework and create value added data driven Products for our
Clients. As a Lead Data Engineer at JPMorgan Chase on the Corporate
AIML Data Platforms Fusion Data Management Team, you play a key
role in an agile team, designing and delivering secure, stable, and
scalable technology products. You are responsible for implementing
critical technology solutions across various technical areas to
support the firm's business goals. You collaborate with teams,
including Product Development and Business users, to develop
applications on our AWS Analytics platform. Your role involves
hands-on design and development of applications, formulating
analytics strategies, and ensuring data and logic consistency and
optimization across applications. Job responsibilities 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 and 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. Adds to team culture of
diversity, equity, inclusion, and respect. Required qualifications,
capabilities, and skills Formal training or certification on
Software Engineering concepts and 5 years applied experience.
Excellent Python knowledge with experience with Web application
frameworks such as Fast API Experience in building data pipelines
using Python / Java / Pyspark Working knowledge in Python base rest
API builds including Fast API Experience pipeline orchestration
tools i.e Argo, Airflow etc. Strong database skills with a thorough
understanding of databases and data modelling concepts. Solid
understanding in Object oriented programming concepts and Design
patterns. Experience in developing, debugging, and maintaining code
in a large corporate environment with one or more modern
programming languages and database querying languages. Overall
knowledge of the Software Development Life Cycle Solid
understanding of agile methodologies such as CI/CD, Application
Resiliency, and Security; particularly around Docker image builds.
Demonstrated knowledge of software applications and technical
processes within a technical discipline (e.g., cloud, artificial
intelligence, machine learning, mobile, etc.) Preferred
qualifications, capabilities, and skills Knowledge of table formats
i.e Iceberg. Knowledge of libraries i.e Polars, PyIceberg .
Knowledge of languages like Rust is a plus. Working knowledge in
AWS and relevant cloud tools like Glue, Lambda
Keywords: JPMorgan Chase & Co., East Brunswick , Lead Data Engineer, IT / Software / Systems , Jersey City, New Jersey
