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Chase · 2 weeks ago

Lead Software Engineer - Java/Python/Databricks/AWS

450 W 33rd St, New York, NY, 10001, US

Full-time

Onsite

Lead/Staff

$152K/yr - $215K/yr

8+ years exp

Chase is seeking a Lead Software Engineer within the Consumer & Community Banking, Card Data Tech. In this role, you will be a core technical contributor responsible for conducting critical technology solutions across multiple technical areas in support of the firm’s business objectives.

BankingFinancial Services

Responsibilities

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

Acquire and manage data from various sources and storage systems

Transform existing ETL logic to AWS, Databricks, or equivalent cloud platforms

Implement new or enhance existing services and components using both object-oriented and functional programming

Establish and enforce guidelines to ensure consistency, quality, and completeness of data assets

Executes standard software solutions, design, development, and technical troubleshooting

Writes secure and high-quality code using the syntax of at least one programming language with limited guidance

Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications

Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity

Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development

Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Qualification

JavaPythonAWSDatabricksSparkSoftware EngineeringInfrastructure as CodeAgile methodologiesAIRelational databasesNon-relational databases

Required

Formal training or certification on Software Engineering concepts and 5+ years applied experience

8+ years' experience of Java, AWS, Python, Databricks or Snowflake, Spring

Proficiency in Spark fundamentals and experience implementing Spark in data lake or data mesh solutions

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 one or more modern programming languages and database querying languages

Demonstrable ability to code in one or more languages

Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation

Experience across the whole Software Development Life Cycle

Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

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