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Chase · 1 month ago

Software Engineer III - Data / ETL Developer

8181 Communications Pkwy Bldg F, Plano, TX, 75024, US

Full-time

Onsite

Mid Level

3+ years exp

Chase is seeking a Software Engineer III to join their Corporate Technology - Consumer and Community Banking Risk Technology team. In this role, you will design and deliver technology products, develop ETL pipelines, and implement data solutions to support the firm's business objectives.

BankingFinancial Services

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

Qualification

PythonETLSparkSnowflakeDatabricksSQLNoSQLAWSAPI developmentData migrationStatistical analysisAgile methodologiesSoftware Development Life CycleData validationTeam collaboration

Required

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