Description
Senior Data Engineer (Data Engineer III) – AWS & Databricks Focus
Description
As a Data Engineer III at JPMorgan Chase Corporate Sector, you will be a key member of our agile Data Engineering team, designing and delivering trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will develop, test, and maintain critical data pipelines and architectures supporting the firm’s business objectives, with a primary focus on AWS Data Engineering and Databricks.
In this role, you will have autonomy to lead projects, mentor junior engineers, and collaborate closely with FinOps professionals to translate cost optimization strategies into technical solutions. Your ideas and contributions will be valued and considered as part of our team’s ongoing innovation.
Job Responsibilities
- Design, develop, and maintain scalable ETL pipelines using AWS services (Lambda, Step Functions, S3 storage) and Databricks (Python, PySpark, SQL).
- Optimize data processing workflows leveraging Apache Spark and Delta Lake within Databricks.




- Integrate data from various sources (S3, databases, APIs) into Databricks and AWS data stores.
- Implement and manage data governance, security controls, and access policies using AWS IAM, encryption, and Databricks Unity Catalog.
- Monitor, troubleshoot, and tune data pipelines for performance and reliability.
- Automate infrastructure provisioning and deployment using Terraform or AWS CloudFormation.
- Collaborate with cross-functional teams using Databricks Repos and version control tools.
- Work closely with FinOps professionals to apply cost optimization strategies and best practices in cloud environments.
- Mentor junior engineers and provide technical guidance within the team.
- Update logical or physical data models based on new use cases.
- Advise colleagues on data engineering best practices and tool configurations.
- Communicate complex technical concepts to non-technical stakeholders.

📌 Data Engineer III (Buenos Aires)
🏢 JPMorganChase
📍 Buenos Aires