below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$133,262–$201,250.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1226 open roles
on FindRole.
Listed pay typically runs
$156,750–$215,000
across 5 roles with salary data.
As a Software Engineer III in the Market Risk Data Visualization Team, you will provide technical leadership to develop data products that help risk professionals navigate a complex market risk environment. You will design and maintain production PySpark and SQL pipelines to transform source data into reusable datasets and visualization-ready views for dashboards and reports. Your daily work involves collaborating with risk managers and quantitative teams to turn business requirements into trusted reporting solutions while applying data modeling, lineage, and governance practices. You will utilize modern cloud data platforms, cloud object storage, and enterprise-authorized AI-assisted engineering tools to accelerate coding and testing. Key responsibilities include building automated deployment workflows, ensuring production stability, and managing data quality within an agile environment focused on market risk analytics.
What does a Software Engineer earn in New Jersey?
Median $161500 from 34 postings across 14 companies.
Design, build, and maintain production PySpark and SQL pipelines for market risk reporting.
Transform complex source data into reusable datasets and views for dashboards and analytical applications.
Translate business requirements from risk experts into technical specifications and fit-for-purpose data solutions.
Apply data modeling, lineage, and governance practices to ensure reporting outputs are consistent and traceable.
Develop secure, maintainable code and manage automated tests, deployment workflows, and production monitoring.
Investigate and resolve data discrepancies, performance bottlenecks, and production issues.
Utilize AI-assisted engineering tools to accelerate coding and testing while ensuring output correctness and security.
Explore and implement AI and automation techniques to improve reporting and data analysis workflows.
What we're looking for
Bachelor’s degree in computer science, data science, engineering, applied mathematics, or a related technical discipline, or equivalent practical experience.
Strong professional experience developing and supporting production software or data engineering solutions.
Strong Python and PySpark skills with solid SQL and understanding of distributed processing concepts.
Experience building data pipelines on a cloud data platform or lakehouse with large datasets and cloud object storage.
Knowledge of data modeling, data quality, and the design of reliable datasets for analytics and reporting.
Experience with software development fundamentals including version control, testing, code review, CI/CD, and production support.
Experience using approved AI-assisted development tools with a focus on reviewing and testing generated output.
Experience with Databricks, Apache Spark, Delta Lake, Unity Catalog, and Amazon Web Services (preferred).
PySpark
SQL
Python
Databricks
Delta Lake
Amazon S3
Lakehouse
CI/CD
Data Modeling
Data Quality
Data Observability
Infrastructure as Code
LLMs
APIs
Distributed Data Processing
Annapolis Junction, MD125 days ago
$214,776–$290,580
HTML
CSS
JavaScript
ITOM
ITSM
HRSD
CSM
Service Portal
FOSS
GOTS
COTS
Requirements Analysis
System Security
Information System Security
Computer Security