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Data Engineer III - AWS / Databricks

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted 13 days ago

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Compensation: Not specified USD
City: Not specified
Country: United States

Data Engineer III at JPMorgan Chase within the Enterprise Technology - Core Data Platforms team will be an experienced member of an agile squad focused on reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. You will design, develop, test, and maintain essential data pipelines and architectures across diverse technical areas to support multiple business functions. The role emphasizes using AWS, Databricks, Python, and SQL/NoSQL, and includes review of controls and configuration changes to deliver customer or business products. A background with data lifecycle, statistical data analysis, and optional MLOps skills is preferred.

Location: Plano, TX, United States

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Engineer III at JPMorgan Chase within the Enterprise Technology - Core Data Platforms team, you will be a seasoned member of an agile team, tasked with designing and delivering reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. Your responsibilities include developing, testing, and maintaining essential data pipelines and architectures across diverse technical areas, supporting various business functions to achieve the firm's business objectives.

Job responsibilities

Develops workflows, ELT pipelines using Python, Databricks
Supports review of controls to ensure sufficient protection of enterprise data
Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request
Updates logical or physical data models based on new use cases
Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience
Good working knowledge of AWS , Databricks, Python
Experience across the data lifecycle
Advanced at SQL (e.g., joins and aggregations)
Working understanding of NoSQL databases
Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
Experience customizing changes in a tool to generate product

Preferred qualifications, capabilities, and skills

MLOps skills

Develop, test, and maintain critical data pipelines and architectures across multiple technical areas

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