Java Python Spark Software Engineer III

Jersey City, NJ, United States

JPMorgan Chase & Co.

View company page

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 Corporate Investment Banking - Fusion Data Platform, 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 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.
  • Works with an existing development team to create a new Cloud Native platform and migrates the existing data platforms to Cloud using many tools including Glue, Iceberg, Spark, Kafka, Streaming, SQL, Python, Java, etc.
  • Develops and tests new interfaces, enhancements/changes to existing interfaces, new data structures, new reporting capabilities, and enhances ETL pipelines and design solutions,
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Designs, develops, implements and supports the platform
  • Handles Dev Ops efforts in terms of CICD, Scanning, Code, Performance testing and Test coverage
  • Identifies, analyzes, and interprets trends or patterns in complex data sets and transforms existing ETL logic into AWS Platform
  • Innovates new ways of managing, transforming and validating data, establishes and enforces guidelines to ensure consistency, quality and completeness of data assets

     

Required qualifications, capabilities, and skills

 

  • Formal training or certification on software engineering concepts and 3+ years of applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
  • Demonstrated experience with AWS, Java, Python and ETL development
  • Experience with Big Data Technologies such as  Iceberg , Glue, Spark, Kafka
  • Experience with data analysis, data modeling, data engineering, and experience working with tools and databases such as SQL and Oracle

Preferred qualifications, capabilities, and skills

 

  • Experience in Snowflake
  • Experience with Terraform

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile AWS Banking Big Data CI/CD Data analysis Engineering ETL Java Kafka Machine Learning Oracle Pipelines Python SDLC Security Snowflake Spark SQL Streaming Terraform Testing

Perks/benefits: Career development Competitive pay Health care Wellness

Region: North America
Country: United States
Job stats:  3  2  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.