Lead Software Engineer - Data

Location: New York, NY, 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 banking, investment, and asset management services. As a Lead Software Engineer - Data in our New York office, you will play a pivotal role in our agile teams, delivering critical tech solutions across multiple technical areas. This position involves architecting robust data systems that handle vast volumes of financial transactions, ensuring reliability, security, and compliance in a fast-paced, regulated environment. You will lead initiatives to build scalable data pipelines that support everything from real-time fraud detection to predictive analytics for market trends, contributing directly to the firm's mission of transforming the financial services industry. In this leadership role, you will collaborate with cross-functional teams including data scientists, product managers, and compliance experts to design and implement data-driven solutions. Responsibilities include developing high-performance applications using modern frameworks, optimizing data workflows for efficiency, and integrating AI/ML capabilities to enhance decision-making in areas like risk assessment and portfolio management. You will mentor junior engineers, conduct code reviews, and drive the adoption of best practices, all while navigating the complexities of financial regulations such as Dodd-Frank and Basel III. Your work will directly impact JP Morgan Chase's ability to serve millions of clients worldwide with innovative, secure, and efficient services. We value engineers who thrive in dynamic settings and are passionate about solving complex problems at scale. This role offers the opportunity to grow within a world-class organization, with access to advanced tools, continuous learning, and a culture that emphasizes innovation and inclusion. If you have a strong background in data engineering and a desire to make a meaningful impact in finance, join us in shaping the future of banking at JP Morgan Chase.

Key Responsibilities

• Design, develop, and deploy scalable data pipelines and solutions to support critical financial operations
• Collaborate with agile teams to integrate data technologies across multiple platforms, ensuring seamless functionality
• Lead code reviews, mentor junior engineers, and drive best practices in data engineering
• Analyze complex datasets to provide insights for risk management, fraud detection, and regulatory reporting
• Implement robust data security measures compliant with JP Morgan Chase's standards and financial regulations
• Optimize data architectures for performance in high-stakes trading and banking environments
• Troubleshoot and resolve issues in production data systems to minimize downtime
• Stay abreast of emerging data technologies and recommend innovations to enhance firm-wide capabilities
• Contribute to the full software development lifecycle, from requirements gathering to deployment and monitoring

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
• 7+ years of experience in software engineering with a focus on data technologies
• Proven track record in developing scalable data solutions in a financial services environment
• Strong understanding of agile methodologies and experience working in cross-functional teams
• Proficiency in programming languages such as Java, Python, or Scala
• Experience with cloud platforms like AWS, Azure, or GCP in a regulated industry
• Knowledge of data privacy regulations such as GDPR and financial compliance standards

Preferred Qualifications

• Master's degree in Data Science or related field
• Experience with big data frameworks like Hadoop, Spark, or Kafka
• Prior work at a major financial institution handling high-volume transactional data
• Certifications in cloud architecture or data engineering (e.g., AWS Certified Data Analytics)
• Familiarity with machine learning pipelines for financial risk modeling

Required Skills

• Java or Python programming
• SQL and NoSQL database management
• Big data technologies (Spark, Hadoop, Kafka)
• Cloud computing (AWS, Azure)
• Agile and Scrum methodologies
• Data modeling and ETL processes
• Machine learning frameworks (TensorFlow, PyTorch)
• Version control (Git)
• Containerization (Docker, Kubernetes)
• Problem-solving and analytical thinking
• Communication and collaboration
• Financial domain knowledge
• Regulatory compliance awareness
• Performance optimization
• Leadership and mentoring

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, wellness programs, and mental health support
• Flexible work arrangements including hybrid options in New York

JP Morgan Chase is an equal opportunity employer.