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Chase · 15 hours ago

AWS Software Engineer III - Python/Data Pipeline

545 Washington Blvd, Jersey City, NJ, 07310, US

Full-time

Onsite

Mid Level

$133K/yr - $185K/yr

3+ years exp

Chase is one of the oldest financial institutions, offering innovative financial solutions to millions of consumers and businesses. The AWS Software Engineer III will design and deliver technology products, focusing on building and maintaining data pipelines to support the firm's business objectives.

BankingFinancial Services

Responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

Produce architecture and design artifacts for complex data platforms and pipelines, ensuring design constraints are met throughout software code development

Build and maintain end-to-end data pipelines, including ingestion, transformation, quality, and reliability

Enables downstream analytics and BI consumers through well designed pipelines

Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Contributes to software engineering communities of practice and events that explore new and emerging technologies

Adds to team culture of diversity, opportunity, inclusion, and respect

Qualification

PythonData pipelinesCloud technologiesSQLAgile methodologiesSoftware engineering conceptsBI solutionsTeam collaboration

Required

Formal training or certification on software engineering concepts and 3+ years applied experience

Hands-on practical experience in system design, application development, testing, and operational stability

Experience in developing, debugging, and maintaining code in a large corporate environment, with extensive experience in Python as the primary development language, and database querying languages

Hands-on practical experience working in cloud technologies

Overall knowledge of the Software Development Life Cycle

Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Demonstrate production-grade data engineering expertise with databases and data pipelines, including SQL, schema design, and end-to-end data flows

Experience building BI solution on top of those pipelines, including dash boarding, as well as underlying data engineering work required to feed tools like ThoughtSpot