Data Engineer III

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 solutions
Buildsend-to-end data pipelines for ingestion, transformation, and distribution, supporting both batch and streaming workloads
Develops data products that are reusable, well-documented, and optimized for analytics, BI, and AI/ML consumers
Implements modern data lake and lakehouse architectures, including Apache Iceberg table formats
Implements interoperability across data platforms and tools, including Databricks, Snowflake, Amazon Redshift, AWS Glue, and Lake Formation
Establishes and maintains end-to-end datalineage to support observability, impact analysis, and regulatory requirements
Implements data quality validation and monitoring using frameworks such as Great Expectations
Supports review of controls to ensure sufficient protection of enterprise data
Updates logical or physical data models based on new use cases
Frequently uses SQL and understands No

SQL databases and their niche in the marketplace

Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Proficient in coding in one or more languages
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Experience across the data lifecycle
Advanced at SQL (e.g., joins and aggregations)
Working understanding of No

SQL databases
Significant experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysis
Experience customizing changes in a tool to generate product

Preferred qualifications, capabilities, and skills
Familiarity with modern front-end technologies

Exposure to cloud technologies