Data Engineer, Python, AWS, Databricks

Location: Jersey City, NJ, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge technology to power global markets and deliver unparalleled client value. As a Data Engineer specializing in Python, AWS, and Databricks, you will join a dynamic agile team in Jersey City, NJ, focused on designing and delivering market-leading technology products in a secure and scalable manner. In this role, you will play a pivotal part in building robust data infrastructures that support critical functions such as risk management, trade analytics, and regulatory reporting, ensuring our systems handle the complexities of the financial services industry with precision and reliability. Your day-to-day responsibilities will involve architecting end-to-end data solutions, from ingesting vast streams of market data to transforming it into actionable insights using Python scripts and Databricks workflows on AWS infrastructure. You will collaborate closely with data scientists, software engineers, and business stakeholders to align technical implementations with strategic objectives, all while adhering to stringent security protocols to protect sensitive financial information. This position demands a proactive approach to optimizing performance, troubleshooting issues in real-time trading environments, and innovating to meet evolving demands in a fast-paced, 24/7 operation. We value engineers who thrive in collaborative settings and bring a passion for technology to solve real-world financial challenges. By joining JP Morgan Chase, you will contribute to transformative projects that impact millions of clients worldwide, while benefiting from our commitment to professional growth, inclusive culture, and comprehensive rewards. If you are ready to advance your career in a world-class financial institution, apply today to help shape the future of data engineering at JP Morgan Chase.

Key Responsibilities

• Design, build, and maintain scalable data pipelines using Python, AWS, and Databricks to support financial analytics and reporting
• Collaborate with agile teams to deliver secure, high-performance technology solutions for JP Morgan Chase's global markets
• Implement data ingestion, transformation, and storage solutions ensuring compliance with financial regulations like GDPR and SEC standards
• Optimize data workflows for efficiency, handling large-scale financial datasets including trade, risk, and client information
• Troubleshoot and resolve data quality issues in production environments to minimize downtime in trading systems
• Integrate machine learning models into data pipelines to enhance predictive analytics for investment strategies
• Conduct code reviews and contribute to best practices in secure coding for financial applications
• Monitor and scale infrastructure on AWS to support growing data volumes in a 24/7 financial operations setting
• Partner with cross-functional teams including data scientists and business analysts to align technical solutions with business needs
• Document data architectures and processes to facilitate knowledge sharing within JP Morgan Chase's engineering community

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field
• 5+ years of professional experience in data engineering or software development
• Proficiency in Python for building scalable data pipelines
• Hands-on experience with AWS cloud services including S3, EC2, and Lambda
• Experience with Databricks for data processing and analytics
• Strong understanding of data modeling, ETL processes, and SQL
• Demonstrated ability to work in agile environments with version control tools like Git

Preferred Qualifications

• Master's degree in a quantitative field
• Experience in the financial services industry, particularly with market data or risk systems
• Certification in AWS (e.g., AWS Certified Data Analytics) or Databricks
• Knowledge of big data technologies like Spark or Hadoop
• Prior work at a large financial institution handling sensitive data

Required Skills

• Python programming
• AWS cloud architecture
• Databricks platform
• SQL and data querying
• ETL pipeline development
• Agile methodologies
• Data modeling and warehousing
• Spark for big data processing
• Version control with Git
• Problem-solving in high-stakes environments
• Collaboration and communication
• Financial data security and compliance
• Machine learning integration
• Performance optimization
• Attention to detail

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 with tuition reimbursement and internal training programs
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at JP Morgan Chase locations
• Flexible work arrangements including hybrid options in Jersey City

JP Morgan Chase is an equal opportunity employer.