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Software Engineer III- Pyspark/Python

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 2 months ago

No clicks

Senior software engineer role on JPMorgan Chase's Corporate Technology FP&A team to design, build, and maintain scalable, secure data solutions. You'll develop production-quality code in Python and PySpark, work with Databricks and AWS services (S3, EKS/ECS, Lambda), and collaborate closely with data scientists and analysts. Responsibilities include optimizing data workflows, implementing data governance and security best practices, and producing architecture and design artifacts. The role is delivered in an agile environment and emphasizes operational stability, CI/CD, and system resiliency.

Compensation
Not specified

Currency: Not specified

City
Jersey City
Country
United States

Full Job Description

Location: Jersey City, NJ, United States

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorganChase within the Corporate Technology Financial Planning and Analysis team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Work closely with data scientists and analysts to comprehend data requirements and deliver solutions that align with business objectives
  • Optimize and troubleshoot data workflows to ensure high performance and reliability
  • Implement best practices for data governance, security, and compliance
  • Utilize Databricks for advanced data processing and analytics tasks, while monitoring and managing data infrastructure to ensure scalability and cost effectiveness
  • Document data processes and workflows to promote transparency and facilitate knowledge sharing
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Design and implement data solutions on AWS, utilizing services such as S3, EKS/ECS, Lambda
  • Strong development experience in Python or Java
  • Expertise in PySpark/Spark and familiarity with big data frameworks 
  • Hands-on experience with AWS services and cloud-based data solutions
  • Experience with database technologies such as SQL, PostgreSQL, or DynamoDB
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated 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 with data warehousing solutions and ETL processes
  • Proficiency in data visualization tools and techniques
  • Familiarity with Databricks and its ecosystem 
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

Software Engineer III- Pyspark/Python

Compensation

Not specified

City: Jersey City

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

2 months ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

Senior software engineer role on JPMorgan Chase's Corporate Technology FP&A team to design, build, and maintain scalable, secure data solutions. You'll develop production-quality code in Python and PySpark, work with Databricks and AWS services (S3, EKS/ECS, Lambda), and collaborate closely with data scientists and analysts. Responsibilities include optimizing data workflows, implementing data governance and security best practices, and producing architecture and design artifacts. The role is delivered in an agile environment and emphasizes operational stability, CI/CD, and system resiliency.

Full Job Description

Location: Jersey City, NJ, United States

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorganChase within the Corporate Technology Financial Planning and Analysis team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Work closely with data scientists and analysts to comprehend data requirements and deliver solutions that align with business objectives
  • Optimize and troubleshoot data workflows to ensure high performance and reliability
  • Implement best practices for data governance, security, and compliance
  • Utilize Databricks for advanced data processing and analytics tasks, while monitoring and managing data infrastructure to ensure scalability and cost effectiveness
  • Document data processes and workflows to promote transparency and facilitate knowledge sharing
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Design and implement data solutions on AWS, utilizing services such as S3, EKS/ECS, Lambda
  • Strong development experience in Python or Java
  • Expertise in PySpark/Spark and familiarity with big data frameworks 
  • Hands-on experience with AWS services and cloud-based data solutions
  • Experience with database technologies such as SQL, PostgreSQL, or DynamoDB
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated 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 with data warehousing solutions and ETL processes
  • Proficiency in data visualization tools and techniques
  • Familiarity with Databricks and its ecosystem 
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team