Software Engineer III - Databricks, Cloud Data Engineer

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 JPMorgan Chase within the Corporate Technology, you are an integral part of an agile team, designing and delivering technology products in a secure, stable, and scalable way, designing and delivering technology products in a secure, stable, and scalable way. You will enhance software components and gain valuable experience to support your career growth.

Job responsibilities

• Execute software solutions, design, development, and technical troubleshooting for applications and systems
• Write secure, high-quality code using at least one programming language
• Design, develop, and troubleshoot with consideration for upstream and downstream technical implications
• Apply tools within the Software Development Life Cycle to improve automation and value
• Gather, analyze, and draw conclusions from large, diverse data sets to support secure, stable application development
• Learn and apply system processes and methodologies for developing secure, stable code and systems

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on experience in system design, application development, testing, and operational stability
• Experience developing, debugging, and maintaining code in a large corporate environment with modern programming and database querying languages
• Ability to code in Java, Scala, or Python
• Experience with Big Data and Apache Spark
• Experience in cloud data processing on AWS EMR
• Experience as a data engineer on Databricks
• Knowledge of the Software Development Life Cycle and exposure to agile methodologies such as CI/CD, application resiliency, and security

• Familiarity with feature engineering, artificial intelligence, and machine learning
• Exposure to modern front-end technologies
• Experience with cloud technologies
• Emerging knowledge of technical processes within a technical discipline