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Software Engineer III - Data Tech

at J.P. Morgan

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

Software Engineer III - Data Tech

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Dallas
Country
United States

Senior software engineer on the Consumer and Community Banking Data team responsible for designing and delivering secure, scalable data and software solutions. Work in an agile team to implement system design, application development, data ingestion/serving, and operational stability across data lake/warehouse technologies. Hands-on with AWS, Spark/ETL, Python/Java and CI/CD/DevOps practices, contributing to architecture, code quality, and engineering community practices. Expected to independently tackle complex design and troubleshooting while promoting diversity and inclusion.

Location: Plano, TX, 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 JPMorgan Chase  within the Consumer and Community Banking - Data Reds team, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable. Your role involves implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve 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
  • Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software  Development Life Cycle that explore new and emerging technologies
  • 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 infrastructure engineering concepts and 3+ years applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability, while in an agile development environment (using supporting tools)
  • Proficient and extensive in coding/development using one or more languages and frameworks (i.e., Python, Java, Py Spark, SQL, etc.)
  • Solid understanding of software applications and technical processes within a related technical discipline (e.g. data ingestion, data storage, data serving, APIs, etc.).
  • Understands data lake or data warehouse and related technologies (e.g. Spark, ETL, Data bricks, Snowflake)
  • Hands-on experience with AWS cloud platform modules (e.g. S3, EMR, EKS, ECS, Glue, Lambda etc.)
  • Practical experience delivering system design, application development, testing, and operational stability
  • Ability to tackle design and functionality problems independently with little oversight
  • Understanding of logical and physical data modeling and data warehousing practices including catalog registrations (e.g. Glue, Unity) and data access controls
  • Overall knowledge of Software Development Life Cycle and CI/CD pipelines, including Git hub and DevOps practices
  • Solid understanding on any Orchestration tools including (e.g. Control-M, Airflow, AWS Step Functions)

 

Preferred qualifications, capabilities, and skills

  • Exposure to cloud technologies
  • Advanced in other programming languages, such as Java is a huge plus
  • Exposure to cloud providers (Azure or GCP) via hands on experience or certification
  • Exposure to AI tools for automation and coding efficiency (e.g. GPT models, Claude models)
  • Experience in UNIX scripting and PL/SQL
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

Software Engineer III - Data Tech

at J.P. Morgan

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

Software Engineer III - Data Tech

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Dallas
Country
United States

Senior software engineer on the Consumer and Community Banking Data team responsible for designing and delivering secure, scalable data and software solutions. Work in an agile team to implement system design, application development, data ingestion/serving, and operational stability across data lake/warehouse technologies. Hands-on with AWS, Spark/ETL, Python/Java and CI/CD/DevOps practices, contributing to architecture, code quality, and engineering community practices. Expected to independently tackle complex design and troubleshooting while promoting diversity and inclusion.

Location: Plano, TX, 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 JPMorgan Chase  within the Consumer and Community Banking - Data Reds team, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable. Your role involves implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve 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
  • Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software  Development Life Cycle that explore new and emerging technologies
  • 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 infrastructure engineering concepts and 3+ years applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability, while in an agile development environment (using supporting tools)
  • Proficient and extensive in coding/development using one or more languages and frameworks (i.e., Python, Java, Py Spark, SQL, etc.)
  • Solid understanding of software applications and technical processes within a related technical discipline (e.g. data ingestion, data storage, data serving, APIs, etc.).
  • Understands data lake or data warehouse and related technologies (e.g. Spark, ETL, Data bricks, Snowflake)
  • Hands-on experience with AWS cloud platform modules (e.g. S3, EMR, EKS, ECS, Glue, Lambda etc.)
  • Practical experience delivering system design, application development, testing, and operational stability
  • Ability to tackle design and functionality problems independently with little oversight
  • Understanding of logical and physical data modeling and data warehousing practices including catalog registrations (e.g. Glue, Unity) and data access controls
  • Overall knowledge of Software Development Life Cycle and CI/CD pipelines, including Git hub and DevOps practices
  • Solid understanding on any Orchestration tools including (e.g. Control-M, Airflow, AWS Step Functions)

 

Preferred qualifications, capabilities, and skills

  • Exposure to cloud technologies
  • Advanced in other programming languages, such as Java is a huge plus
  • Exposure to cloud providers (Azure or GCP) via hands on experience or certification
  • Exposure to AI tools for automation and coding efficiency (e.g. GPT models, Claude models)
  • Experience in UNIX scripting and PL/SQL
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team