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Chase · 16 hours ago

Python Data Engineer II

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

Full-time

Onsite

Entry, Mid Level

$95K/yr - $130K/yr

2+ years exp

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. As a Data Engineer II, you will be part of an agile team responsible for enhancing, designing, and delivering data collection, storage, access, and analytics solutions in a secure and scalable manner.

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

Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

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, 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

PythonAWSETL processPySparkUnix scriptingData modeling techniquesAgile methodologiesSoftware Engineering conceptsPerformance tuningData analysis

Required

Formal training or certification on Software Engineering concepts and 2+ years applied experience

Experience in ETL process/Advance concepts

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

Experience in AWS, design, implementation, and maintenance of data pipelines using Python and PySpark

Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck

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.)

Proficiency in Unix scripting, data structures, data serialization formats such as JSON, AVRO, Protobuf, or similar, big-data storage formats such as Parquet, Iceberg, or similar, data processing methodologies such as batch, micro-batching, or stream, one or more data modelling techniques such as Dimensional, Data Vault, Kimball, Inmon, etc., Agile methodology, TDD or BDD and CI/CD tools