Job Description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.


As a Software Engineer II at JPMorgan Chase within the Global Banking, Data, Analytics & Technology division, you will play a pivotal role in an agile team committed to enhancing, creating, and delivering high-quality technology products in a secure, stable, and scalable way. Your abilities and contributions will significantly influence the business, and your deep technical knowledge and problem-solving tactics will be utilized to tackle a broad spectrum of challenges across diverse technologies and applications.

Job responsibilities

Develops secure and high-quality production code, and reviews and debugs code written by others. Contribute to decisions that influence the product design, application functionality, and technical operations and processes. Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the 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 application development, testing, and operational stability Advanced in one or more programming language(s), Python is required Knowledge of software applications and technical processes with hands on knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to understand design and functionality problems independently with little to no oversight Experience performing data analytics on AWS platforms Experience in writing efficient SQL's, implementing complex ETL transformations on big data platform. Experience in a Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.) Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues Experience with Databricks, Snowflake, Iceberg are required

Preferred qualifications, capabilities, and skills

Understanding of application and data design disciplines with an emphasis on real-time processing and delivery e.g. Kafka is preferable Understanding of the Commercial & Investment Bank business will be useful. Understanding of the full range of database and business intelligence tools; publishing and presenting information in an engaging way is a plus Financial Services and Commercial and Investment Banking experience is a plus Familiarity with NoSQL database platforms(DynamoDB, Cassandra) is a plus * Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc.