Lead Software Engineer - Data Engg/ Data Analytics
JPMorgan Chase2 days ago
Responsibilities
- Design, develop, troubleshoot, test, review, and debug secure, high-quality production software.
- Lead adoption and responsible validation of enterprise-authorized AI-assisted engineering and automation practices.
- Identify and automate remediation of recurring issues to improve application and system stability.
- Evaluate vendor, startup, and internal architectural designs and technical applicability.
- Generate data models using firmwide tooling, linear algebra, statistics, and geometrical algorithms.
- Deliver secure, stable, and scalable data collection, storage, access, and analytics platform solutions.
- Design and operate orchestration and streaming data pipelines.
- Evaluate data access-control processes and report on data asset security effectiveness.
- Create JIRA, Confluence, resource, sprint, and efficiency reports and metrics.
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Experience leading approved AI-assisted software development tools and validating their outputs for correctness, performance, and security.
- Understanding of responsible AI engineering practices, data sensitivity, secure input and output handling, resiliency, and security expectations.
- Experience coaching engineers on safe and compliant AI-assisted delivery practices.
- Strong Python programming skills, including unit and integration testing.
- Strong SQL skills and experience with SQL-based transformation tooling.
- Experience designing and operating orchestration pipelines using Airflow or similar tools.
- Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems.
- Experience across the data lifecycle and in agile engineering environments.
- Advanced understanding of application resiliency, security, and stated agile delivery practices.
- Preferred experience with Java Spark, AWS cloud technologies, data governance frameworks, incremental data processing, versioning, RESTful APIs, and web technologies.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skill set, and location, plus potential incentive compensation for eligible roles.
- Health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching, subject to eligibility.
- Enhanced pre-hire criminal and credit background screening is required for high-risk technology roles.
- The posting describes an equal-opportunity workplace with reasonable accommodation support.
Tech Stack
Categories
Data Engineering
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.