Design, build, and maintain data pipeline solutions and curated datasets using Python and distributed frameworks. Own full software lifecycle, produce secure high-quality code, leverage AWS services, apply AI-assisted development tools, collaborate across teams, and ensure data and system resiliency and security.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Python and AWS Software Engineer II at JPMorgan Chase within the Corporate Investment Bank, Macro Data Analytics 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
- Develop business logic and data transformations in distributed frameworks to create curated datasets for specific business needs.
- Take full ownership of the software delivery lifecycle, from requirement gathering to coding, testing, deployment, support, and ongoing maintenance.
- Demonstrate self-motivation, ambition, and the ability to work independently while driving projects to successful completion.
- Exhibit intellectual curiosity and a desire to understand trends and patterns in the data you work with.
- Executes standard software solutions, design, development, and technical troubleshooting.
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance.
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications.
- 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.
- 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
Required qualifications, capabilities, and skills
- Bachelor's degree in Computer Science or equivalent
- Formal training or certification on software engineering concepts and 2+ years applied experience in software development, with a strong focus on data pipeline solutions
- Strong experience in Python and Spark or equivalent such as Flink or Beam
- Experience in AWS technologies, including AWS Glue, Kinesis, and Redshift - or similar from other cloud provider
- Strong problem-solving skills and a passion for innovation
- Excellent communication and collaboration skills, with the ability to work effectively with diverse teams
- Commitment to continuous learning and improvement
- Proficient in relational databases and SQL
- 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
- Understanding of data management (e.g., permissions, recovery, security, and monitoring)
- Adapt to changing project requirements and technologies
- Experience working in the FICC technology space
- Prior experience in SecDB/Athena/Quartz
- Experience in Cloud Certifications and prior Data Engineering
- Experience working in a Markets trading environment is highly desirable especially in the areas of Currencies, Rates, Emerging Markets, Commodities and Options
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.
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