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 
• Ability to customize and implement changes in tools to generate products 
• Significant experience with data migration and platform migration for data projects, including planning, execution, and post-migration support
• Strong skills in data validations and reconciliations (recons) to ensure data integrity and accuracy during migrations and transformations
• Solid understanding of the Software Development Life Cycle (SDLC) and agile methodologies, including CI/CD, application resiliency, and security best practices
• Hands-on experience with deployment pipelines such as Git, Jules, Jenkins, and Spinnaker along with strong skills in building test scripts and using True CD for coding and testing
• Demonstrated knowledge of software applications and technical processes within technical disciplines such as cloud, artificial intelligence, machine learning, or mobile

Preferred qualifications, capabilities, and skills

• Familiarity with modern data engineering technologies
• Exposure to cloud technologies (i.e. AWS)