Software Engineer III Data Analytics Platform, Python, SQL

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Corporate Technology - Data Analytics Platform team you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure stable and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Join our Corporate Data & Analytics Platform team to create impactful scalable solutions. Collaborate with experts across Corporate Technology and central platform teams to drive meaningful change. Bring your engineering skills to a team that values creativity quality and continuous the Data strategy team you will work closely with engineering teams to enable capabilities on Databricks test and evaluate new Databricks features and contribute best practices and runbooks to support platform enablement.

Job responsibilities

• Support implementation and scaling of core data lake capabilities on Databricks including ingestion processing governance cataloging quality lineage access and consumption
• Test and evaluate new Databricks features; participate in PoCs and help integrate useful capabilities into the platform
• Assist in performance and reliability improvements through tuning load/stress testing and monitoring
• Document best practices guardrails runbooks and onboarding materials for broader CDAP engineer reference
• Explore agentic solutions and tools to enhance automation developer experience and operational efficiency
• Demonstrates enthusiasm curiosity and a willingness to learn

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years applied experience
• Proficient in coding in one or more languages such as Python and SQL
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD Application Resiliency and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
• Hands on experience in cloud data or platform engineering including implementation experience
• Working knowledge of AWS: Virtual Private Clouds subnets routing security groups and NACLs
• Hands on experience with Kubernetes (EKS) and/or AWS ECS
• Proficient in observability tools and practices

Preferred qualifications capabilities and skills

• Hands on expereince with Terraform or Databricks