Sr. Data Engineer

TalentOla • Chicago, IL

19h • Hybrid

About The Position

Our vision: - To inspire new possibilities for the health ecosystem with technology and human ingenuity. What is in it for you? Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and managing scalable data pipelines using Databricks, AWS, and modern DevOps practices.

Requirements

• Strong ETL
• Python
• SQL
• PySpark
• Angular for front-end development
• Experience with AWS services (S3, CloudWatch, IAM, SNS, Lambda)
• Terraform knowledge
• Experience with Git, Octopus, and Azure DevOps for CI/CD

Nice To Haves

• Databricks
• Terraform
• Angular
• Basic knowledge of Scala
• Basic knowledge of HL7

Responsibilities

• Perform Develop and manage ETL processes using Python, PySpark, and SQL.
• Work with Databricks for data processing.
• Utilize AWS services like S3, CloudWatch, IAM, SNS, and Lambda.
• Familiarity with Terraform for infrastructure management.
• Work with Angular for front-end integration.
• Collaborate on version control using Git and deployment using Octopus and Azure DevOps.
• Support CI/CD processes using Git, Octopus, and Azure DevOps.
• Work within cloud-based data engineering environments and data processing frameworks.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree