LOG IN
SIGN UP
Canary Wharfian - Online Investment Banking & Finance Community.
Sign In
or continue with e-mail and password
Forgot password?
Don't have an account?
Create an account
or continue with e-mail and password
By signing up, you agree to our Terms & Conditions and Privacy Policy.

Software Engineer II-Python/PySpark

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 5 days ago

No clicks

**Software Engineer II-Python/PySpark** role sought in Wilmington, DE. Duties involve designing, developing, and maintaining Python/PySpark-based data pipelines. Key responsibilities include creative problem-solving, leveraging AI-assisted development tools, improving automation, collaborating cross-functionally, and ensuring data quality. Must-haves: software engineering experience (2+ years), proficiency in Python/PySpark, AWS, Iceberg, and modern data lakes (Snowflake, Databricks). Preferred: advanced programming languages, SDLC, agile methodologies, cloud native experience, and financial services industry knowledge.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United States

Full Job Description

Location: Wilmington, DE, United States

Job Description

Youre 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-Python/PySpark at JPMorgan Chase within the Consumer and Community Banking Data Technology team, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Collaborate closely with cross-functional teams to develop efficient data pipelines to support various data-driven initiatives
  • Implement best practices for data engineering, ensuring data quality, reliability, and performance
  • Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows
  • Perform data extraction and implement complex data transformation logic to meet business requirements
  • Monitor and executes data quality checks to proactively identify and address anomalies
  • Ensure data availability and accuracy for analytical purposes
  • Identify opportunities for process automation within data engineering workflows

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 2+ years applied experience. 
  • Experience with ETL tools like Data Pipeline and workflow management tools (Airflow, etc.)
  • Hands on coding experience with PySpark, Python, Iceberg ,AI and AWS
  • Experience working with modern Data Lakes : (Snowflake, Databricks etc.)
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficiency in automation and continuous delivery methods
  • Willingness and ability to learn and pick up new skillsets
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

 

Preferred qualifications, capabilities, and skills

  • Advanced in one or more programming language(s) like SQL, Java etc.
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning etc.)
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
Design and deliver secure, scalable data platforms and cross-team solutions for consumer account information

Software Engineer II-Python/PySpark

Compensation

Not specified

City: Not specified

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

5 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Software Engineer II-Python/PySpark** role sought in Wilmington, DE. Duties involve designing, developing, and maintaining Python/PySpark-based data pipelines. Key responsibilities include creative problem-solving, leveraging AI-assisted development tools, improving automation, collaborating cross-functionally, and ensuring data quality. Must-haves: software engineering experience (2+ years), proficiency in Python/PySpark, AWS, Iceberg, and modern data lakes (Snowflake, Databricks). Preferred: advanced programming languages, SDLC, agile methodologies, cloud native experience, and financial services industry knowledge.

Full Job Description

Location: Wilmington, DE, United States

Job Description

Youre 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-Python/PySpark at JPMorgan Chase within the Consumer and Community Banking Data Technology team, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Collaborate closely with cross-functional teams to develop efficient data pipelines to support various data-driven initiatives
  • Implement best practices for data engineering, ensuring data quality, reliability, and performance
  • Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows
  • Perform data extraction and implement complex data transformation logic to meet business requirements
  • Monitor and executes data quality checks to proactively identify and address anomalies
  • Ensure data availability and accuracy for analytical purposes
  • Identify opportunities for process automation within data engineering workflows

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 2+ years applied experience. 
  • Experience with ETL tools like Data Pipeline and workflow management tools (Airflow, etc.)
  • Hands on coding experience with PySpark, Python, Iceberg ,AI and AWS
  • Experience working with modern Data Lakes : (Snowflake, Databricks etc.)
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficiency in automation and continuous delivery methods
  • Willingness and ability to learn and pick up new skillsets
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

 

Preferred qualifications, capabilities, and skills

  • Advanced in one or more programming language(s) like SQL, Java etc.
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning etc.)
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
Design and deliver secure, scalable data platforms and cross-team solutions for consumer account information