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, leveraging cutting-edge data technologies to power our global operations in investment banking, asset management, and consumer services. As a Software Engineer III - Data in our Data Engineering team, you will play a pivotal role in designing and implementing modern, scalable data solutions across hybrid cloud and on-premises environments. Based in the heart of New York, NY, you will contribute to building robust data platforms that support critical financial decisions, from real-time trading analytics to enterprise-wide risk management. This position offers the opportunity to work on high-impact projects that drive efficiency and compliance in one of the world's largest financial institutions. Your primary focus will be on architecting data pipelines that handle massive volumes of financial data with speed and security. You will collaborate with cross-functional teams, including data scientists and business analysts, to ingest, process, and analyze diverse datasets using tools like Apache Spark, Kafka, and cloud-native services. Ensuring adherence to stringent regulatory standards such as GDPR and SOX will be integral, as you optimize solutions for performance in JP Morgan's hybrid infrastructure. This role demands a blend of technical expertise and domain knowledge to innovate within the complexities of the financial services industry. Joining JP Morgan Chase means becoming part of a culture that values innovation, integrity, and inclusion. You will have access to world-class resources, mentorship from industry leaders, and opportunities to advance your career in data engineering. If you are passionate about transforming data into actionable insights that shape the future of finance, this position in our New York office is an ideal fit. Apply today to help us continue leading the digital transformation in global finance.

Key Responsibilities

• Design and develop modern, scalable data pipelines and architectures for hybrid cloud and on-premises environments
• Collaborate with data scientists, analysts, and business stakeholders to translate financial requirements into technical solutions
• Implement data ingestion, processing, and storage solutions using tools like Apache Spark, Kafka, and Hadoop
• Ensure data solutions comply with financial regulations such as GDPR, SOX, and Basel III
• Optimize data workflows for performance, reliability, and cost-efficiency in JP Morgan's global infrastructure
• Integrate machine learning models into production data systems for risk assessment and fraud detection
• Mentor junior engineers and contribute to code reviews and best practices
• Monitor and troubleshoot data systems to maintain high availability in 24/7 financial operations
• Participate in agile sprints to deliver iterative improvements to data platforms
• Stay abreast of emerging technologies to enhance JP Morgan's data engineering capabilities

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
• 5+ years of professional experience in software engineering with a focus on data engineering
• Proven track record in designing and implementing scalable data solutions in hybrid cloud and on-premises environments
• Strong understanding of financial services data challenges, including regulatory compliance and data security
• Experience with big data technologies and cloud platforms such as AWS, Azure, or GCP
• Ability to collaborate in cross-functional teams within a fast-paced financial institution
• Familiarity with agile methodologies and DevOps practices

Preferred Qualifications

• Master's degree in Data Science or related field
• Experience in the financial services industry, particularly with trading, risk management, or compliance systems
• Certifications in cloud platforms (e.g., AWS Certified Data Analytics) or data engineering tools
• Prior work at a large-scale financial institution like JP Morgan Chase
• Knowledge of machine learning pipelines for financial data applications

Required Skills

• Proficiency in Python, Java, or Scala for data processing
• Expertise in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
• Experience with big data frameworks like Apache Spark and Hadoop
• Knowledge of stream processing tools such as Apache Kafka or Flink
• Cloud computing skills in AWS, Azure, or Google Cloud Platform
• Data modeling and ETL/ELT pipeline development
• Understanding of containerization and orchestration (Docker, Kubernetes)
• Familiarity with CI/CD tools like Jenkins or GitHub Actions
• Strong problem-solving and analytical thinking
• Excellent communication and collaboration skills
• Attention to detail for data accuracy and security
• Adaptability to fast-paced financial environments
• Experience with version control systems like Git
• Basic knowledge of machine learning libraries (e.g., TensorFlow, scikit-learn)
• Regulatory awareness in financial data handling

Benefits

• Competitive base salary and performance-based bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company match
• Paid time off, including vacation, sick days, and parental leave
• Professional development opportunities, including tuition reimbursement and certifications
• Employee stock purchase plan and financial wellness programs
• On-site fitness centers and wellness initiatives at JP Morgan locations
• Flexible work arrangements, including hybrid remote options

JP Morgan Chase is an equal opportunity employer.