Data Engineer - Remote

Overview

As a Data Engineer at Sarah Cannon Research Institute, you will play a crucial role in designing, constructing, and maintaining data architectures and large-scale processing systems to support strategic data initiatives aimed at improving cancer patient outcomes.

In Short

• Design and implement scalable data pipelines.
• Collaborate with cross-functional teams to understand data requirements.
• Work on data integration projects for optimized data flow.
• Implement best practices for data quality and reliability.
• Contribute to data modernization efforts using cloud solutions.
• Communicate technical concepts to various stakeholders.
• Automate processes using GitHub CICD.
• Evaluate and identify new technologies.
• Strong problem-solving and communication skills required.
• Experience in healthcare or software industries is a plus.

Requirements

• Bachelor's degree in Computer Science, IT, or related field.
• Technical expertise in building data pipelines.
• Experience with Azure Cloud and related services.
• Proficiency in SQL, Python, Pyspark, or Scala.
• Strong understanding of data engineering principles.
• Experience with Terraform and Azure infrastructure.
• Attention to detail and problem-solving skills.
• Excellent communication skills.
• Ability to learn new tools and technologies quickly.
• Customer and quality-focused mindset.

Benefits

• Comprehensive benefits for physical, mental, and financial well-being.
• Competitive compensation package based on performance and skills.
• Opportunities for career growth and development.
• Inclusive work environment with strong company values.
• Equal opportunity employer valuing diversity.