Lead Software Engineer- ETL/ELT Pipelines / Python / Pyspark
Company: JPMorganChase
Location: Jersey City
Posted on: April 1, 2026
|
|
|
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. Data is one of our most significant competitive assets
and within our business, data is a crucial enabler for impactful
initiatives that enhance efficiency and accelerate business growth.
As a Lead Software- ETL/ELT Pipelines / Python / Pyspark Engineer
at JPMorgan Chase within the Asset and Wealth Management Technology
Team, you will play a crucial role as part of an agile team
dedicated to transforming and building client centric view of all
investment data to unify client data in a secure, stable, and
scalable manner. 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
Lead the development of secure high-quality production code, and
review and debug code written by others Ensure data quality,
integrity, and security across all data systems and platforms and
enforce data governance policies and best practices Design and
implement scalable data solutions that align with business
objectives and technology strategies and technical troubleshooting
with ability to think beyond routine or conventional approaches to
build and support solutions or break down technical problems
Design, develop, and optimize robust ETL/ELT pipelines using SQL,
Python, and PySpark for large-scale, complex data environments
Collaborate with cross-functional teams to understand data
requirements and translate them into technical specifications
Conduct performance tuning and optimization of data systems to
ensure high availability and scalability Identify opportunities to
eliminate or automate remediation of recurring issues to improve
overall operational stability of software applications and systems
Stay current on emerging ETL and data engineering technologies with
industry trends to drive innovation Work closely with stakeholders
to identify opportunities for data-driven improvements and
efficiencies Maintain detailed documentation for pipelines, data
models, and integration processes Required qualifications,
capabilities, and skills Formal training or certification on
software engineering concepts and 5 years applied experience Proven
experience as a lead engineer in data management, ETL/ELT pipeline
development, and large-scale data processing with strong hands-on
coding proficiency in Python, PySpark, Apache Spark, SQL, and AWS
cloud services such as AWS EMR, S3, Athena, Redshift Strong
understanding of data quality, security, and lineage best practices
Hands-on experience with AWS cloud and data lake platforms,
Snowflake, Databricks etc Experience with cloud-based data
warehouse migration and modernization Intimate knowledge and
ability to implement unit, integration and functional testing
strategies Experience providing the tools that will enable data to
be made available on Mesh and distributed to meet consumer need
Proficiency in automation and continuous delivery methods and
understanding of agile methodologies such as CI/CD, Application
Resiliency, and Security Excellent problem-solving and
troubleshooting skills, with ability to optimize performance and
troubleshoot complex data pipelines Strong communication and
documentation abilities Ability to collaborate effectively with
business and technical stakeholders Preferred Qualifications and
Skills Knowledge of Apache Iceberg In-depth knowledge of the
financial services industry and IT systems
Keywords: JPMorganChase, East Brunswick , Lead Software Engineer- ETL/ELT Pipelines / Python / Pyspark, IT / Software / Systems , Jersey City, New Jersey
