Data Engineer

Role overview Build and improve data infrastructure that supports clinical and operational decision-making. You will develop scalable pipelines, connect information from varied systems, and maintain reporting solutions, working with teams across the organization to make data reliable and useful.

Responsibilities - Design and maintain ETL pipelines for enterprise data needs. - Integrate information from clinical systems, APIs, data warehouses, and external sources. - Build and support business intelligence solutions used to monitor performance and inform decisions. - Validate, cleanse, and reconcile data to maintain quality and consistency. - Improve workflows for performance and scalability, and investigate data or reporting issues. - Collaborate across departments on data-driven initiatives.

Requirements - Bachelor’s degree in computer science, information systems, mathematics, or a related field, or equivalent experience. - At least six years of experience in data engineering, integration, and optimization. - Proficiency in SQL and Python, with hands-on experience using a big data platform such as Snowflake. - Experience with a cloud platform such as AWS, Azure, or GCP and modern data tools such as Databricks or Snowflake. - Familiarity with SQL and NoSQL databases or platforms such as Oracle, Hadoop, and Teradata. - Strong debugging and problem-solving skills, clear communication, and business awareness.

Nice to have - Experience with orchestration or automation tools such as Airflow or Jenkins and CI/CD pipelines. - Certification in EPIC Caboodle or EPIC Clarity.

Benefits and work setup - Remote role, limited to candidates residing in Georgia, Texas, Tennessee, North Carolina, Florida, South Carolina, Michigan, or Colorado. - Benefits include health coverage, retirement plans, paid leave, family leave, tuition reimbursement, professional development, and employee support programs.