Software Engineer III: Data Engineer
JPMorgan Chase2 months ago
Base Salary
$138k - $185k/yr
Responsibilities
- Review controls and support protection of enterprise data.
- Design, develop, test, troubleshoot, and maintain secure, high-quality software solutions and data pipelines.
- Create architecture and design artifacts for complex applications and ensure implementation meets design constraints.
- Gather, analyze, synthesize, visualize, and report on large and diverse datasets.
- Identify data patterns and hidden problems to improve coding hygiene, system architecture, and application performance.
- Update logical and physical data models for new use cases.
- Use SQL and understand appropriate applications of NoSQL databases.
- Apply software development lifecycle automation and enterprise-authorized AI-assisted development tools while validating generated outputs for correctness, performance, and security.
- Contribute to engineering communities of practice and guide peers on responsible AI use in engineering workflows.
Requirements
- Formal training or certification in software engineering concepts and at least 3 years of applied experience.
- Advanced SQL skills, including joins and aggregations, and working knowledge of NoSQL databases.
- Experience with statistical data analysis, ETL processes, system design, application development, testing, and operational stability.
- Experience designing, implementing, and maintaining AWS data pipelines using Python and PySpark, with Java as a secondary alternative.
- Experience with performance tuning, Unix scripting, data structures, data serialization formats, big-data storage formats, data processing approaches, and data modeling techniques.
- Experience using enterprise-authorized AI-assisted software development tools and critically evaluating, validating, and refining their outputs.
- Understanding of responsible AI practices, data sensitivity, secure input and output handling, resiliency, and security expectations.
- Preferred experience includes Python, Kafka, S3, Lambda, ECS, EKS, Kinesis, CloudWatch, Terraform, Snowflake, GitHub Copilot, Airflow, and Kubernetes.
- Preferred experience supporting business insights through data analysis.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skills, and location; compensation details are provided during the hiring process.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation, including cash or forfeitable equity.
- Comprehensive healthcare coverage and on-site health and wellness centers.
- Retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Equal opportunity employer with reasonable accommodations for religious practices, mental health needs, and physical disabilities.
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.