Sr. Data Engineer / Software Engineer -Technology Health Analytics & Automation

About this kind of role

What a Sr. Data Engineer / Software Engineer -Technology Health Analytics & Automation usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines to transform and load large datasets. This role focuses on creating robust and scalable data infrastructure to support analytical and machine learning initiatives. Data Engineers often work closely with data scientists and analysts to ensure data accessibility and quality. They are responsible for optimizing data systems for performance and reliability.

Tools and skills: Proficiency in SQL, Python, cloud platforms (like AWS, Azure, or Google Cloud), data warehousing technologies (such as Snowflake or Redshift), and ETL tools is generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work collaboratively in a fast-paced environment typically thrive in this role.