Data Engineer (Software Engineer II)
JPMorgan ChaseResponsibilities
- Design, develop, and troubleshoot software solutions and data integration components.
- Build extensible data acquisition and integration solutions that extract, transform, and distribute data across data stores.
- Develop and optimize scalable data pipelines using Spark, PySpark, and Scala.
- Perform complex data analysis and develop business intelligence integration designs.
- Gather conclusions from large and diverse datasets to identify problems and support decision-making.
- Collaborate with distributed internal product development and cross-functional teams.
- Use authorized AI-assisted development and automation tools while validating outputs through peer review, testing, and secure coding practices.
- Support secure, stable, scalable application development and operational stability.
Requirements
- At least 4 years of experience in data integration projects using big data technologies.
- Hands-on AWS data warehousing and database platform 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.
- Knowledge of big data querying tools including Athena, RDS, and Databricks SQL Warehouse.
- Experience with Parquet, ORC, Avro, Delta Lake, or Iceberg data and table formats.
- Strong knowledge of data warehousing, data modeling, and data lake concepts.
- Strong experience with Java, open-source technologies, and API standards.
- Practical experience in system design, application development, testing, and operational stability.
- Experience using 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 such as DynamoDB, and Databricks.
- Ability to learn new technologies in a dynamic environment.
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.