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Software Engineer III - Data​/ETL Developer

Job in Plano, Collin County, Texas, 75086, USA
Listing for: JPMorgan Chase
Full Time position
Listed on 2026-01-02
Job specializations:
  • Software Development
    Data Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: 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 No

    SQL 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/framework (i.e., Python 3, ETL, Spark, Snowflake, Databricks, SQL, No

    SQL, 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)

JPMorgan

Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we…

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