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Software Engineer II

at J.P. Morgan

Back to all Data Engineering jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Software Engineer II

at J.P. Morgan

JuniorNo visa sponsorshipData Engineering

Posted 25 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
New York City
Country
United States

Join an agile Consumer & Community Banking engineering team to design, develop, and deliver secure, scalable data and software solutions. The role focuses on acquiring and managing data, transforming ETL to cloud platforms (AWS/Databricks/Snowflake), and implementing services using object-oriented and functional programming. You'll apply Spark fundamentals, contribute across the SDLC, and ensure data quality, operational stability, and secure, high-quality code. Collaboration, troubleshooting, and exposure to cloud and CI/CD practices are core to the position.

Location: New York, NY, United States

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Consumer & Community Banking, 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.

Job responsibilities:

  • Acquire and manage data from various sources and storage systems
  • Transform existing ETL logic to AWS, Databricks, or equivalent cloud platforms
  • Implement new or enhance existing services and components using both object-oriented and functional programming
  • Establish and enforce guidelines to ensure consistency, quality, and completeness of data assets
  • Executes standard software solutions, design, development, and technical troubleshooting
  • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  • Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
  • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
  • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills:

  • Formal training or certification on software engineering concepts and 2+ years applied experience.
  • Proficiency in Spark fundamentals and experience implementing Spark in data lake or data mesh solutions
  • Experience with either AWS, Databricks or Snowflake
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Demonstrable ability to code in one or more languages
  • Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
  • Experience across the whole Software Development Life Cycle
  • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
  • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.

Preferred qualifications, capabilities, and skills:

  • Experience in AI is a plus
  • Proficiency in both Python and Java is a major plus
  • Experience with Infrastructure as Code (Terraform)
  • Familiarity with relational and non-relational databases
  • Exposure to cloud technologies
Serve as an emerging member of an agile team to design and deliver market-leading technology products in a secure and scalable way

Software Engineer II

at J.P. Morgan

Back to all Data Engineering jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Software Engineer II

at J.P. Morgan

JuniorNo visa sponsorshipData Engineering

Posted 25 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
New York City
Country
United States

Join an agile Consumer & Community Banking engineering team to design, develop, and deliver secure, scalable data and software solutions. The role focuses on acquiring and managing data, transforming ETL to cloud platforms (AWS/Databricks/Snowflake), and implementing services using object-oriented and functional programming. You'll apply Spark fundamentals, contribute across the SDLC, and ensure data quality, operational stability, and secure, high-quality code. Collaboration, troubleshooting, and exposure to cloud and CI/CD practices are core to the position.

Location: New York, NY, United States

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Consumer & Community Banking, 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.

Job responsibilities:

  • Acquire and manage data from various sources and storage systems
  • Transform existing ETL logic to AWS, Databricks, or equivalent cloud platforms
  • Implement new or enhance existing services and components using both object-oriented and functional programming
  • Establish and enforce guidelines to ensure consistency, quality, and completeness of data assets
  • Executes standard software solutions, design, development, and technical troubleshooting
  • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  • Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
  • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
  • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills:

  • Formal training or certification on software engineering concepts and 2+ years applied experience.
  • Proficiency in Spark fundamentals and experience implementing Spark in data lake or data mesh solutions
  • Experience with either AWS, Databricks or Snowflake
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Demonstrable ability to code in one or more languages
  • Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
  • Experience across the whole Software Development Life Cycle
  • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
  • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.

Preferred qualifications, capabilities, and skills:

  • Experience in AI is a plus
  • Proficiency in both Python and Java is a major plus
  • Experience with Infrastructure as Code (Terraform)
  • Familiarity with relational and non-relational databases
  • Exposure to cloud technologies
Serve as an emerging member of an agile team to design and deliver market-leading technology products in a secure and scalable way