JPMorganChase
A Big Data Software Engineer at JPMorgan Chase contributes to the Client 360 initiative by developing a big data platform for Entity Resolution and Relationships. The role involves implementing large-scale cloud processing solutions, managing data from various sources, and enhancing existing infrastructure. This position requires expertise in Python, AWS, and big data technologies to drive secure and scalable technology products.
JPMorgan Chase is a leading global financial services firm that provides a full range of banking, investment banking, asset and wealth management, and payments and treasury services to consumers, businesses, governments, and institutions. Its consumer business operates under the Chase brand, offering retail banking, credit cards, mortgages and auto loans, while J.P. Morgan delivers corporate & investment banking, markets, securities services and asset management. Headquartered in New York, the firm combines scale, technology and risk management to serve clients worldwide. It is one of the largest banks by assets and is widely recognized for its capital markets expertise and integrated financial solutions.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for JPMorganChase.
JPMorganChase didn’t post a salary, so this is our estimate from similar listings.
Big Data Software Engineer
JPMC
Python Big data Engineer
jobdiva
Senior Software Engineer - Python
Experian
Senior Systems Engineer (4 - 7 years of experience in Hadoop and Big Data platform operations, Python, SQL, Shell)
Visa
IoT and Big Data Support Engineer - Intern
Airbus
Sr. Data Engineer (Charlotte, NC)
The Hartford