Jobs
Required Skills
Data integration
Big Data Technologies
Apache Spark
Scala
Python
AWS
Jenkins
Git
Hive
Pig
Impala
Java
SQL
MongoDB
Join a team that pushes the boundaries of possibility, fostering a culture of diversity, curiosity, and problem-solving. We value teamwork, big thinking, and risk-taking in a supportive, blame-free environment. Enjoy self-direction on impactful projects with the mentorship needed to learn and grow. We're eager to see your contributions.
As a Software Engineer III at JPMorgan Chase within the Technology Division, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
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Job Responsibilities
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Manage data integration and data analysis of disparate systems
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Build extensible data acquisition and integration solutions to meet client requirements
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Implement processes and logic to extract, transform, and distribute data across multiple data stores from diverse sources
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Provide problem-solving expertise and conduct complex analysis of data to develop business intelligence integration designs
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Interface with internal product development teams and cross-functional teams (Product Management, Integration Engineering, Quality Engineering, System Admin Teams)
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Collaborate with remote and geographically distributed teams to build the right products using appropriate building blocks
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Ensure solutions are easily consumable by other products
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Design and optimize data workflows for scalability and performance
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Coordinate with stakeholders to gather and refine requirements
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Document integration processes and maintain technical specifications
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Monitor, troubleshoot, and resolve data integration issues
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Required Qualifications, Capabilities, and Skills
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Formal training or certification on software engineering concepts and 3+ years applied experience
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Demonstrate hands on experience in data integration projects using Big Data Technologies, preferably in human resources analytics
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Apply hands-on experience with at least 5 years on Spark and Scala/Python
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Utilize AWS Data Warehousing and database platforms
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Implement CICD using Jenkins, Git, Artifactory, Yaml, Maven for Cloud deployments
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Employ Big Data querying tools, such as Pig, Hive, and Impala
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Integrate data from various file-storage formats like Parquet, ORC, Avro, Sequence files
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Build scalable, high-performance distributed services and systems
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Apply knowledge of Data Warehousing and Data Lake concepts
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Develop with Java open-source and API standards
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Work with technologies like Oracle/SQL and NoSQL data stores such as MongoDB
Preferred Qualifications, Capabilities, and Skills
- Leverage Databricks
- Optimize data pipelines for performance and reliability
- Integrate advanced analytics solutions
- Collaborate proactively with cross-functional teams
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
Recommend to a Friend
Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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