Software Engineer II - Python, ETL, AWS, Kubernetes

JPMorgan Chase & Co.
Jersey City, NJ, United States
26 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Amazon Web Services Automation of Tests Unit Testing Code Generation Software Quality Information Engineering Data Files Data Infrastructure Data Integration Extract Transform Load (ETL)
+22 more
Data Transformation Data Mining Relational Databases Information Lifecycle Management Python (Programming Language) 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

You’re 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., * 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.

Preferred qualifications, capabilities, and skills

  • 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., J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jobmonkeyjobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

1:34 min

Essential commands for running and testing Terraform configurations

Hennie Francis · LIVE

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · WWC Europe 2026

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

Videos

See all

Related articles

See all