Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Data Technology, you are an integral part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you will be responsible for implementing critical technology solutions across multiple technical areas, supporting various business functions to achieve the firm's business objectives.

Job responsibilities

• Design, develop, and maintain scalable data pipelines and architectures for data processing and integration.
• Build and optimize data systems and infrastructure (e.g., databases, data warehouses, ETL processes).
• Ensure data quality, integrity, and security across all data platforms.
• Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver solutions.
• Implement data governance and best practices for data management.
• Monitor and troubleshoot data pipeline performance and resolve issues.
• Automate repetitive data tasks and processes.
• Document data workflows, architecture, and processes.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with SQL and relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake).
• Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka).
• Experience with cloud platforms AWS and data services.
• Knowledge of ETL tools and data integration frameworks.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

Preferred qualifications, capabilities, and skills

• Experience with data modeling and data warehousing concepts.
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Understanding of data privacy and compliance regulations.