Software Engineer III- Data

Location: New York, NY, United States

Job Family: Data Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Data Engineering team plays a pivotal role in harnessing data to drive business decisions and operational excellence. As a Software Engineer III - Data, you will join a dynamic group focused on building robust data infrastructure that supports our global banking operations. This role involves designing advanced data models and pipelines, optimizing sourcing strategies for high-volume financial datasets, and architecting solutions that seamlessly handle both transactional (OLTP) and analytical (OLAP) workloads. Working in the heart of New York, NY, you will contribute to projects that impact millions of customers and trillions in assets, ensuring our data systems are scalable, secure, and compliant with stringent regulatory standards like those from the SEC and FDIC. Your day-to-day will revolve around collaborating with elite teams of engineers, data scientists, and business leaders to translate complex financial requirements into efficient data architectures. You will leverage cutting-edge technologies to ingest, process, and analyze diverse data streams—from market feeds and customer transactions to risk analytics—while optimizing for performance and cost in cloud environments. At JP Morgan Chase, we value innovation in a fast-paced setting, so expect to tackle challenges like real-time fraud detection pipelines or AI-driven forecasting models, all while adhering to our commitment to ethical data practices and privacy. This position offers unparalleled opportunities for growth within one of the world's leading financial institutions. You will have access to mentorship from senior leaders, exposure to emerging technologies, and a chance to shape the future of data engineering in finance. If you thrive in a collaborative, high-stakes environment and are passionate about using data to solve real-world problems, join us in redefining what's possible at JP Morgan Chase.

Key Responsibilities

• Design and implement scalable data models and pipelines to support JP Morgan Chase's core banking operations and analytics needs
• Optimize data sourcing strategies to ensure efficient ingestion, transformation, and storage of financial data from diverse sources
• Architect end-to-end solutions for both transactional (OLTP) and analytical (OLAP) systems, integrating with JP Morgan's proprietary platforms
• Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to define data requirements
• Monitor and enhance data quality, performance, and security in compliance with financial regulations
• Develop and maintain ETL/ELT processes using tools like Apache Airflow or similar for automated data workflows
• Troubleshoot and resolve complex data issues in high-volume, mission-critical environments
• Contribute to innovation in data architecture, leveraging cloud-native services to drive efficiency in JP Morgan's global operations
• Document technical designs and ensure adherence to best practices in data governance
• Participate in code reviews and mentor junior engineers on data engineering principles

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
• 5+ years of experience in data engineering, with a focus on building and maintaining data pipelines in a financial services environment
• Proficiency in SQL and NoSQL databases, including experience with OLTP and OLAP systems
• Strong understanding of data modeling, ETL/ELT processes, and data warehousing solutions
• Experience with cloud platforms such as AWS, Azure, or GCP, particularly in data-intensive applications
• Demonstrated ability to optimize data sourcing and manage large-scale datasets in a regulated industry like banking
• Excellent problem-solving skills and ability to work in agile teams

Preferred Qualifications

• Experience in financial services, particularly with regulatory compliance (e.g., GDPR, SOX) and risk management data
• Familiarity with big data technologies like Hadoop, Spark, or Kafka for real-time data processing
• Advanced knowledge of Python, Java, or Scala for data pipeline development
• Certification in cloud data engineering (e.g., AWS Certified Data Analytics) or relevant financial tech credentials
• Prior work at a large financial institution handling transactional and analytical workloads

Required Skills

• Data modeling and database design (SQL, NoSQL)
• ETL/ELT pipeline development
• OLTP and OLAP system architecture
• Cloud computing (AWS, Azure, GCP)
• Big data technologies (Spark, Kafka, Hadoop)
• Programming languages (Python, Java, Scala)
• Data quality and governance
• Agile methodologies and collaboration tools (Jira, Confluence)
• Problem-solving and analytical thinking
• Regulatory compliance in financial services
• Performance optimization for large datasets
• Version control (Git) and CI/CD practices
• Communication and stakeholder management
• Machine learning basics for data integration
• Security best practices for sensitive financial data

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers, wellness programs, and mental health support
• Flexible work arrangements including hybrid options in New York

JP Morgan Chase is an equal opportunity employer.