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Chase · 1 day ago

Principal Software Engineer - (Data Engineering / Java / Python) | Risk Technology Engineering & Architecture

277 Park Ave, New York, NY, 10172, US

Full-time

Onsite

Lead/Staff

$204K/yr - $285K/yr

JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As a Principal Software Engineer in the Corporate Risk Technology team, you will enhance and deliver technology products, architect scalable data engineering solutions, and mentor other engineers while driving best practices across various technologies.

BankingFinancial Services

Responsibilities

Architect and implement complex, scalable data engineering/ coding frameworks and solutions using modern software design principles

Lead the design and development of secure, high-quality production code for data-intensive applications; review and mentor other engineers

Drive adoption of advanced technical methods and practices aligned with the latest industry standards

Advises cross-functional teams on technological matters within your domain of expertise

Serves as the function’s go-to subject matter expert

Creates durable, reusable software frameworks that are leveraged across teams and functions

Influences leaders and senior stakeholders across business, product, and technology teams

Champions the firm’s culture of diversity, opportunity, inclusion, and respect

Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies

Qualification

Data EngineeringJavaPythonCloud-native platformsData ArchitectureAI/MLRelational databasesNoSQL databasesMicroservicesAPI designKafkaObservability toolsTechnical leadershipCommunication skillsTeam collaborationProblem-solving

Required

[Action Required: Insert 1st bullet according to Years of Experience table]

Strong proficiency in Data Engineering, Data Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise data platforms and solutions

Expert in one or more programming language(s) eg. Java, Python , C/C++

Advanced working knowledge of relational and NoSQL databases, data lake architectures, data mesh concepts, and data governance

Practical experience with cloud-native data platforms (AWS, Azure, GCP)

Experience leading technical teams and projects as a Tech Lead or Data Architect

Experience in large scale data processing, using micro services, API design, Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal)

Advanced knowledge of software application development and technical processes

Ability to present and effectively communicate with Senior Leaders and Executives

Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field