Job Description

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.


As a Lead Data Engineer at JPMorganChase within the Commercial and Investment Bank team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of 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 Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and applied experience Hands-on practical experience in system design, application development, testing, and operational stability Development experience in Java and/or Python Experience working with any tool (terraform) to provision AWS cloud services Experience of AWS Glue, AWS Athena & AWS S3 Knowledge of Apache Parquet & open table formats such as Delta, Iceberg & Hudi Test Driven Development experience in using JUnit, Mojito or similar Extensive knowledge and work experience with distributed system and massively parallel processing Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle

Preferred qualifications, capabilities, and skills

Experience with big data technologies Knowledge in working with Databricks, Iceberg Familiarity with message bus technologies such as Kafka or AMPS and query engines such as AWS Athena & Redshift Knowledge with AWS Lake Formation Working knowledge of AWS Glue, AWS Athena & AWS S3 * Experience in financial industry