Software Engineer II: Data Engineer
JPMorgan Chase12 hours ago
Jersey City, NJ, USAMid Level
H1B sponsor
Base Salary
$124k - $150k/yr
Responsibilities
- Design, develop, test, and maintain secure, scalable data pipelines and data architectures.
- Develop software solutions, production code, algorithms, and architecture artifacts for complex applications.
- Analyze large and diverse datasets and create visualizations and reporting to improve software applications and systems.
- Update logical and physical data models for new use cases.
- Troubleshoot technical problems, identify data patterns, and improve coding hygiene, architecture, performance, and operational stability.
- Review enterprise data controls and support secure, high-quality data capabilities.
- Use enterprise-authorized AI-assisted development tools for code generation, refactoring, testing, troubleshooting, and documentation while validating outputs for correctness, performance, and security.
- Contribute to software engineering communities of practice and share reusable engineering and responsible AI usage patterns.
Requirements
- Formal training or certification in software engineering concepts and at least 2 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 tuning performance to prevent bottlenecks and optimize job execution.
- Proficiency with Unix scripting, JSON, AVRO, Protobuf, Parquet, Iceberg, batch or streaming data processing, and data modeling techniques such as Dimensional, Data Vault, Kimball, or Inmon.
- Experience with CI/CD tools, TDD or BDD, and Agile methodology.
- Hands-on experience with enterprise-authorized AI-assisted software development tools and the ability to evaluate, validate, and refine AI-generated outputs.
- Understanding of responsible AI practices, data sensitivity, secure input and output handling, resiliency, and security expectations.
- Preferred experience includes Python development, Kafka and S3 integration, Lambda, ECS, EKS, Kinesis, CloudWatch, Terraform, Snowflake, GitHub Copilot, Airflow, Kubernetes, and business-focused data analysis.
Benefits
- Competitive total rewards and benefits package, with eligibility-based health care coverage, retirement savings, backup childcare, tuition reimbursement, mental health support, financial coaching, and on-site health and wellness centers.
- Eligible roles may include commission-based pay or discretionary incentive compensation in cash or forfeitable equity; compensation details are provided during hiring.
- JPMorgan Chase is an equal opportunity employer and provides 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.