Data Engineer (Software Engineer II)
JPMorgan ChaseResponsibilities
- Design, develop, and troubleshoot software and data integration solutions.
- Build extensible data acquisition, extraction, transformation, and distribution pipelines across diverse data sources and stores.
- Develop business intelligence integration designs through complex data analysis and problem solving.
- Gather and analyze large, diverse datasets to identify problems and support decision-making.
- Collaborate with product development, product management, integration engineering, quality engineering, and system administration teams.
- Work with geographically distributed teams to build reusable and consumable technology products.
- Use and validate enterprise-authorized AI-assisted development tools for coding, testing, troubleshooting, refactoring, and documentation.
- Apply secure coding, resiliency, testing, and operational stability practices.
Requirements
- At least 4 years of experience in data integration projects using big data technologies.
- Hands-on AWS data warehousing and database experience with EMR, S3, AWS Glue, Lambda, Apache Airflow, and infrastructure-as-code tools such as Terraform or CloudFormation.
- Strong CI/CD experience using Jenkins, Git, Artifactory, YAML, and Maven for cloud deployments.
- Hands-on Spark engineering experience with PySpark or Scala for scalable data pipelines.
- Experience with Athena, RDS, and Databricks SQL Warehouse or comparable big data querying tools.
- Experience integrating Parquet, ORC, Avro, Delta Lake, and Iceberg data formats.
- Strong knowledge of data warehousing, data modeling, and data lake concepts.
- Strong experience with Java, open-source technologies, and API standards.
- Hands-on experience in system design, application development, testing, and operational stability.
- Experience using enterprise-authorized AI-assisted software development tools and critically evaluating their outputs.
- Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security expectations.
- Preferred experience with Oracle, SQL, NoSQL data stores, and DynamoDB.
- Databricks experience is preferred.
- Ability to learn new technologies quickly in a dynamic environment.
Tech Stack
Categories
About JPMorgan Chase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.