We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Data Engineer III at JPMorgan Chase within the Commercial & Investment Bank, 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

Builds hybrid on-prem and public cloud data platform solutionsBuilds end-to-end data pipelines for ingestion, transformation, and distribution, supporting both batch and streaming workloadsDevelops data products that are reusable, well-documented, and optimized for analytics, BI, and AI/ML consumersImplements modern data lake and lakehouse architectures, including Apache Iceberg table formatsImplements interoperability across data platforms and tools, including Databricks, Snowflake, Amazon Redshift, AWS Glue, and Lake FormationEstablishes and maintains end-to-end data lineage to support observability, impact analysis, and regulatory requirementsImplements data quality validation and monitoring using frameworks such as Great ExpectationsSupports review of controls to ensure sufficient protection of enterprise dataUpdates logical or physical data models based on new use casesFrequently uses SQL and understands NoSQL databases and their niche in the marketplace

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experienceHands-on practical experience in system design, application development, testing, and operational stabilityProficient in coding in one or more languagesExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesExperience across the data lifecycleAdvanced at SQL (e.g., joins and aggregations)Working understanding of NoSQL databasesSignificant experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysisExperience customizing changes in a tool to generate product

 

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies

Exposure to cloud technologies