We have an exciting and rewarding opportunity for you to take your Data Engineer career to the next level.
As a Data Engineer II at JPMorganChase within Consumer & Community Banking in Connected Commerce Travel Technology Team, you will be the part of an agile team that designs, builds and maintains cutting-edge large-scale data integration and analytical solutions on the cloud in a secure, stable, and scalable way. In this role, you'll leverage your technical expertise and business acumen to transform complex, high-volume data into powerful, actionable insights, driving strategic value for our stakeholders. This is an exciting opportunity to shape the future of how Chase Travel data is managed for analytical needs.
Job responsibilities
- Design, develop and maintain scalable and large-scale data processing pipelines and infrastructure on the cloud following engineering standards, governance standards and technology best practices
- Develop and optimize data models for large-scale datasets, ensuring efficient storage, retrieval, and analytics while maintaining data integrity and quality.
- Collaborate with cross-functional teams to translate business requirements into scalable and effective data engineering solutions.
- Demonstrate a passion for innovation and continuous improvement in data engineering, proactively identifying opportunities to enhance data infrastructure, data processing and analytics capabilities.
Required qualifications, capabilities, and skills
- Strong analytical problem solving and critical thinking skills
- Proficiency in at least one programming language ( Python, if not Java or Scala)
- Proficiency in at least one distributed data processing framework ( Spark or similar)
- Proficiency in at least one cloud data Lakehouse platforms (AWS Data lake services or Databricks, alternatively Hadoop),
- Proficiency in at least one scheduling/orchestration tools ( Airflow, if not AWS Step Functions or similar)
- Proficiency with relational and NoSQL databases.
- Proficiency in data structures, data serialization formats (JSON, AVRO, Protobuf, or similar), and big-data storage formats (Parquet, Iceberg, or similar),
- Experience working in teams following Agile methodology
- Experience with test-driven development (TDD) or behavior-driven development (BDD) practices, as well as working with continuous integration and continuous deployment (CI/CD) tools.
Preferred qualifications, capabilities, and skills
- Proficiency in Python and Pyspark
- Proficiency in IaC (preferably Terraform, alternatively AWS cloud formation)
- Experience with AWS Glue, AWS S3, AWS Lakehouse, AWS Athena, Airflow, Kinesis and Apache Iceberg
- Experience working with Jenkins
Top Skills
What the Team is Saying
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
