Software Engineer III - Data / ETL Developer

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

As a Software Engineer III at JPMorgan Chase within the Corporate Technology - Consumer and Community Banking Risk Technology team, 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


* Designs, develops, and troubleshoots software solutions, leveraging both conventional and innovative approaches to solve complex technical problems


* Creates secure, high-quality production code and maintains efficient algorithms that integrate seamlessly with relevant systems


* Produces architecture and design artifacts for complex applications, ensuring that software development aligns with established design constraints


* Develops workflows and ETL pipelines using Python, Databricks, and Spark, optimizing data processing and transformation at scale


* Implements and manages data solutions using Snowflake, including data modeling, performance tuning, and secure data sharing


* Frequently utilizes SQL, understands the role of NoSQL databases in the marketplace, and applies Spark for distributed data processing and analytics


* Gathers, analyzes, and synthesizes large, diverse data sets to develop visualizations and reporting that drive continuous improvement of software applications and systems


* Proactively identify hidden issues and patterns in data, using these insights to enhance coding practices and system architecture


* Supports the review of controls to ensure robust protection of enterprise data and updates on logical or physical data models based on evolving use cases


* Advises and implements custom configuration changes in select tools to deliver tailored solutions for business or customer needs


* Fosters a team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills


* Formal training or certification in software/data engineering concepts and 3+ years applied experience


* Advanced in one or more programming language / frameworks (i.e., Python 3, ETL, Spark, Snowflake, Databricks, SQL, NoSQL, etc.), with active knowledge of AWS functions (i.e., ECS, Lambda, API Gateway, and general AWS services), and Terraform-based infrastructure deployments)


* Strong experience with statistical data analysis, including selecting appropriate tools and identifying data patterns


* Demonstrated experience in API-driven development, particularly using Fast API on AWS ECS with API Gateway integration, and running APIs from AWS Lambda.


* Experience across the data engineering lifecycle, from ingestion to analysis and productization
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