Software Engineer - Data Engineer

Software Engineer II - Data Engineer - Spark, Python, Databricks or AWS EMR

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

 

As a Software Engineer II - Data Engineer - Spark, Python, Databricks or AWS EMR at JPMorgan Chase within the Commercial & Investment Bank, you'll be a part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

 

Job responsibilities

 

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Work with large datasets using Spark on Databricks or AWS EMR.
• Write efficient SQL queries for data extraction, transformation, and analysis.
• Collaborate with data scientists, analysts, and other engineering teams to deliver high-quality data solutions.
• Implement data processing workflows on AWS services such as S3, ECS, Lambda, EMR, and Glue.
• Develop and maintain Python scripts for data processing and automation.
• Ensure data quality, integrity, and security across all data engineering activities.
• Troubleshoot and resolve data-related issues in a timely manner.

 

Required qualifications, capabilities, and skills

 

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Proven expertise in Data Engineering with Spark.
• Hands-on experience with Databricks or AWS EMR.
• Strong knowledge of SQL and database concepts.
• Experience in ETL and data processing workflows.
• Proficiency in AWS services: S3, ECS, Lambda, EMR/Glue.
• Advanced skills in Python programming.
• Excellent problem-solving and analytical abilities.
• Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience).
• Strong communication and collaboration skills.
• Ability to work independently and as part of a team.

 

 

Preferred qualifications, capabilities, and skills

• Experience with Infrastructure as Code (IaaC) using Terraform or CloudFormation.
• Familiarity with writing unit test cases for Python code.
• Knowledge of version control systems such as BitBucket or GitHub.
• Understanding of CI/CD pipelines and automation tools.

 

Experience Level

Mid Level