Software Engineer III - Data / ETL Developer

JPMorganChase•Plano, TX

58d

About The Position

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.

Requirements

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

Nice To Haves

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

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