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Software Engineer [Multiple Positions Available]

JPMorgan Chase

Software Engineer [Multiple Positions Available]

JPMorgan Chase

Wilmington, DE, United States, US

·

On-site

·

Full-time

·

4w ago

Required skills

Python

Java

AWS

Linux

Spark

Tableau

DESCRIPTION:

Duties: Design, develop and implement software solutions. Solve business problems through innovation and engineering practices. Involved in all aspects of Software Development Lifecycle (SDLC) including requirements analysis, incorporate architecture and design standards into application design specifications, software application documentation, translating business and technical requirements into different software application components. Develop or enhance software programs, identify or troubleshoot application code related issues, take an active role in code reviews to ensure solutions are aligned to business requirements and software engineering standards. Participate in project planning sessions with different stakeholders including business analyst, architect and development team members to analyze business requirements and outline proposed solutions. Work on testing software applications for business features, performance and resiliency. Deployment of software applications on non-production and production environments. Monitor software applications and triage issues on non-production and production environments.

QUALIFICATIONS:

Minimum education and experience required: Bachelor's degree in Mechanical Engineering, Computer Science, Electronic Engineering, or related field of study plus 5 years (60 months) of experience in the job offered or as Software Engineer, Associate Architect, Systems Engineer, or related occupation. The employer will alternatively accept a Master's degree in Mechanical Engineering, Computer Science, Electronic Engineering, or related field of study plus 3 years (36 months) of experience in the job offered or as Software Engineer, Associate Architect, Systems Engineer, or related occupation.

Skills Required: This position requires experience with the following: building software solutions to process large-scale data using Big Data platforms such as Hadoop, HDFS, and Amazon EMR; designing and constructing efficient and highly scalable data pipelines using a variety of programming languages and tools, including Shell Script, Java, JUnit, Python, Apache Spark, and Py Spark; designing applications and modeling storage and database solutions using AWS S3, Oracle, Cassandra, Redshift, AWS Glue and AWS Athena; building continuous integration and continuous delivery code pipelines using Bitbucket, GitHub, and Jenkins on both Windows and Linux platforms; developing comprehensive reports using Tableau and Talend for data processing applications.

Job Location: 880 Powder Mill Road, Wilmington, DE 19803.

Full-Time.

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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

Employees

New York City

Headquarters

$500B

Valuation

Reviews

3.8

10 reviews

Work-life balance

3.2

Compensation

4.1

Culture

3.8

Career

3.0

Management

2.5

65%

Recommend to a friend

Pros

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

Cons

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

Salary Ranges

41 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1 reports

$139,000

total per year

Base

$107,000

Stock

-

Bonus

-

$139,000

$139,000

Interview experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer rate

40%

Experience

Positive 20%

Neutral 80%

Negative 0%

Interview process

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

Common questions

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study