Software Engineer II- Big Data

Location: New York, NY, United States

Job Family: Software Engineering

About the Role

At JPMorgan Chase & Co., one of the oldest, largest, and most respected financial institutions in the world, we are seeking a talented Software Engineer II - Big Data to join our Technology team in New York, NY. This role offers an exciting opportunity to advance your career in software engineering within the dynamic financial services industry. As a global leader in investment banking, consumer and community banking, commercial banking, and asset and wealth management, JPMorgan Chase relies on innovative big data solutions to drive business insights, manage risks, and deliver exceptional client experiences. In this position, you will contribute to building and optimizing large-scale data platforms that process petabytes of transaction, market, and client data, ensuring reliability and efficiency in a highly regulated environment. Your primary focus will be on developing and maintaining robust big data infrastructures using cutting-edge technologies like Apache Spark, Hadoop, and Kafka. You will work closely with cross-functional teams, including data engineers, scientists, and business stakeholders, to design scalable pipelines that support critical functions such as real-time fraud detection, portfolio analytics, and regulatory reporting. At JPMorgan Chase, we emphasize innovation and collaboration, providing you with the tools and resources to tackle complex challenges, such as integrating diverse data sources from global markets while adhering to stringent compliance standards like GDPR and SOX. This role demands a blend of technical expertise and a passion for solving real-world problems that impact millions of customers and drive the firm's strategic goals. We value engineers who thrive in agile environments and are committed to continuous learning. As part of our inclusive culture, you will have access to mentorship, training programs, and opportunities to influence technology roadmaps that shape the future of finance. If you are ready to elevate your career at a firm renowned for its technological prowess and ethical standards, join us in revolutionizing how big data powers financial innovation at JPMorgan Chase.

Key Responsibilities

• Design, develop, and maintain scalable big data pipelines for processing large volumes of financial transaction data
• Collaborate with data scientists and analysts to build robust data ingestion and transformation systems
• Implement and optimize distributed systems using tools like Apache Spark and Hadoop to support risk modeling and fraud detection
• Ensure data quality, security, and compliance with regulatory standards in the financial sector
• Troubleshoot and resolve performance issues in high-throughput environments
• Integrate big data solutions with JP Morgan's core banking platforms and APIs
• Participate in code reviews, testing, and deployment processes using CI/CD pipelines
• Contribute to innovation in data architecture to enhance decision-making in investment banking and asset management
• Monitor and scale data infrastructure to handle growing datasets from global markets
• Document technical designs and mentor junior engineers on best practices

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field
• At least 3-5 years of professional software engineering experience
• Strong proficiency in Java, Python, or Scala for big data processing
• Experience with distributed computing frameworks like Hadoop, Spark, or Kafka
• Knowledge of data modeling, ETL processes, and big data storage solutions
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Ability to work in a fast-paced, collaborative environment

Preferred Qualifications

• Master's degree in Computer Science or related discipline
• Experience in financial services or fintech industry
• Certifications in big data technologies (e.g., Cloudera Certified Developer)
• Prior work with real-time data streaming and analytics
• Background in agile methodologies and DevOps practices

Required Skills

• Proficiency in Java, Python, or Scala
• Expertise in Apache Spark and Hadoop ecosystems
• Experience with Kafka or similar streaming platforms
• Knowledge of SQL and NoSQL databases (e.g., Hive, Cassandra)
• Cloud computing skills (AWS, Azure, or GCP)
• Data pipeline development and ETL tools
• Agile and Scrum methodologies
• Problem-solving and analytical thinking
• Strong communication and collaboration skills
• Understanding of financial data regulations (e.g., GDPR, SOX)
• Version control with Git
• Containerization and orchestration (Docker, Kubernetes)
• Performance tuning for big data applications
• Teamwork in cross-functional environments
• Attention to detail in secure coding practices

Benefits

• Competitive base salary and performance-based bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with company matching
• Generous paid time off and flexible work arrangements
• Professional development programs and tuition reimbursement
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness initiatives at JP Morgan locations
• Parental leave and family support benefits

JP Morgan Chase is an equal opportunity employer.