Software Engineer II - Python, ETL, AWS, Kubernetes

JPMorgan Chase & Co.
Jersey City, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Jersey City, United States of America

Tech stack

Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Automation of Tests
Unit Testing
Code Generation
Software Quality
Information Engineering
Data Files
Data Infrastructure
Data Integration
ETL
Data Transformation
Data Mining
Relational Databases
Information Lifecycle Management
Python
NoSQL
Object-Oriented Software Development
Software Tools
Cloud Services
Secure Coding
Software Engineering
SQL Databases
Data Streaming
Toolchain
Workflow Management Systems
Kubernetes
Infrastructure Automation Frameworks
Terraform
Code Restructuring
Data Pipelines
Databricks
Microservices

Job description

  • Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
  • Frequently utilizes SQL and understands NoSQL databases and their niche in the marketplace
  • 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.
  • Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows
  • 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
  • Perform data extraction and implement complex data transformation logic to meet business requirements
  • Ensure data availability and accuracy for analytical purposes, implement best practices for data engineering, ensuring data quality, reliability, and performance, monitor and executes data quality checks.
  • Identify opportunities for process automation within data engineering workflows
  • Deploy and manage containerized applications using Kubernetes (EKS) and Amazon ECS.
  • Implement data orchestration and workflow automation using AWS step , Event Bridge
  • Use Terraform for infrastructure provisioning and management, ensuring a robust and scalable data infrastructure.

Requirements

  • Formal training or certification on Data Engineering concepts and 3+ years applied experience
  • Experience across the data lifecycle
  • Experience working with modern Lakehouse : Databricks )
  • Proficient in SQL coding (e.g., joins and aggregations) including RDBMS skills
  • Experience in Micro service based component using ECS or EKS
  • Working understanding of NoSQL databases
  • Experience in building and optimizing data pipelines, architectures, and data sets ( Glue or Data bricks ETL)
  • Proficient in object-oriented and object function scripting languages (Python etc.)
  • Experience in developing ETL process and workflows for streaming data from heterogeneous data sources
  • 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., * Strong analytical and problem-solving skills, with attention to detail.
  • Experience building Pipeline on AWS using Terraform and using CI/CD pipelines
  • Knowledge of RDBMS like Aurora
  • Experience with data pipeline and workflow management tools (Airflow, etc.)

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of 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.

About the company

As a Software Engineer II at JPMorgan Chase within the Commercial and Investment Bank, 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., JPMorganChase, 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.

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