Data Engineer - Archimedes

About Us

Archimedes is the industry leader in specialty drug management solutions. Founded with the goal of transforming the PBM industry to provide the necessary ingredients for the sustainability of the prescription drug benefit – alignment, value, and transparency – Archimedes achieves superior results for clients by eliminating tightly held PBM conflicts of interest including drug spread, rebate retention, and pharmacy ownership, and delivering the most rigorous clinical management at the lowest net cost.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field, or equivalent work experience, required. Master’s degree preferred
• AWS Certified Data Analytics or Solutions Architect, Microsoft Certified: Azure Data Engineer Associate, and Certified Data Management Professional (CDMP) preferred
• 5+ years of experience in Data Engineering, Analytics Engineering, Data Platform Engineering, ETL development, and Cloud Data Architecture required
• Experience designing and implementing modern lake house architectures using Azure Databricks, Delta Lake, Azure Data Lake Storage Gen2, and related cloud-native data services required
• Experience developing canonical data models, enterprise data products, data mappings, master data structures, and governed analytical datasets preferred
• Experience building DataOps pipelines, automated testing frameworks, CI/CD processes, and data quality controls preferred
• Experience supporting AI, machine learning, analytics, automation, and intelligent business solutions through scalable data engineering practices preferred
• Experience working within regulated environments supporting HIPAA, HITRUST, SOC 2, NIST, or similar compliance frameworks preferred
• Proven experience with SQL, ETL tools, and CI/CD pipelines
• Hands-on experience with AWS and Azure data services and infrastructure
• Familiarity with data governance, compliance frameworks (HIPAA, SOC 2), and secure data handling practices
• Experience with CI/CD pipelines, automated testing, and version control systems