Software Engineer III (Databricks)

Join a team where your ideas and expertise help shape cutting-edge technology. At JPMorgan Chase, we value diverse perspectives and encourage you to think big, take risks, and grow your skills. You’ll work in a supportive environment that fosters learning, mentorship, and career advancement. Your contributions will make a real difference as we build the future together.

As a Software Engineer III at JPMorgan Chase as a part of Employee Platforms, you will design, develop, and deliver secure, stable, and scalable software solutions. You will collaborate with talented colleagues to enhance our technology products and tackle complex technical challenges. Your work will help drive innovation and support our mission to deliver best-in-class solutions. You’ll have opportunities to expand your skills and grow within your role.

Job Responsibilities:

• Manage data integration and analysis across diverse systems
• Build extensible data acquisition and integration solutions to meet client requirements
• Implement processes to extract, transform, and distribute data from various sources
• Provide expertise in problem-solving and complex data analysis for business intelligence integration
• Collaborate with internal product development and cross-functional teams
• Work with remote and geographically distributed teams to deliver consumable products

Required Qualifications, Capabilities, and Skills:

• Experience in data integration projects using Big Data technologies, preferably in human resources analytics
• Hands-on experience with AWS Data Warehousing and database platforms (Databricks preferred), including EMR, S3, AWS Glue, Lambda, Apache Airflow, and Infrastructure as Code tools (e.g., Terraform, CloudFormation)
• Strong background in CI/CD using Jenkins, Git, Artifactory, YAML, and Maven for cloud deployments
• Proficiency in Spark engineering with PySpark or Scala for scalable data pipelines
• Knowledge of Big Data querying tools such as Athena, RDS, and Databricks
• Experience integrating data from various file-storage formats (Parquet, ORC, Avro) and table formats (Delta Lake, Iceberg)
• Experience using AI-assisted developer productivity tools (e.g., GitHub Copilot)
• Technical expertise in building scalable, high-performance distributed systems
• Knowledge of Data Warehousing, Data Modeling, Data Lake, and Data Security concepts
• Strong experience with Java open-source and API standards
• Excellent problem-solving, troubleshooting, and analytical skills
• Effective communication, presentation, and interpersonal skills, with the ability to explain complex concepts clearly
• Experience with Oracle/MySQL and NoSQL data stores such as DynamoDB
• Ability to quickly learn new technologies in a dynamic environment

Preferred Qualifications, Capabilities, and Skills:

• Experience working in agile development environments
• Familiarity with emerging technologies in data engineering and analytics
• Demonstrated ability to collaborate across teams and functions
• Commitment to continuous learning and professional growth
• Strong track record of delivering innovative solutions

• Experience mentoring or supporting junior engineers