Pharmacy Data Engineer- REMOTE

Job Summary We are seeking a highly skilled Pharmacy Data Engineer to design, build, and maintain data infrastructure that supports pharmacy operations, clinical decision-making, regulatory compliance, and business intelligence. The ideal candidate will have expertise in healthcare data standards, pharmacy systems, and data engineering best practices, with a passion for improving patient outcomes through data-driven insights. Primary Responsibilities • Data Pipeline Development: • Design, develop, and maintain scalable ETL/ELT pipelines to ingest and transform pharmacy-related data from multiple sources (EHR/EMR, dispensing systems, claims, clinical systems). • Ensure data accuracy, timeliness, and completeness for downstream analytics and reporting. • Data Integration & Management: • Work with structured and unstructured healthcare data, including prescriptions, medication orders, insurance claims, formulary data, and clinical outcomes. • Integrate pharmacy data with enterprise data warehouses and cloud-based platforms (e.g., AWS, Azure, GCP). • Implement data quality checks and validation frameworks to meet compliance standards (HIPAA, FDA, DEA). • Collaboration & Stakeholder Support: • Partner with pharmacists, clinicians, data scientists, and business analysts to enable insights that improve medication safety, adherence, and cost optimization. • Collaborate with IT and compliance teams to ensure secure handling of PHI and adherence to data governance standards. • Performance Optimization: • Optimize queries, databases, and data models to improve processing speed and efficiency. • Support real-time data processing needs for pharmacy operations and inventory management. Education and Experience • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Health Informatics, or a related fields • Strong programming skills in Python, SQL, and one or more ETL frameworks (e.g., Airflow, dbt, Informatica, Talend). • Experience with healthcare/pharmacy data standards (HL7, FHIR, NCPDP, RxNorm, SNOMED CT). • Proficiency with cloud data platforms (AWS Redshift, Snowflake, BigQuery, Databricks). • Familiarity with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra). • Knowledge of data warehousing, data lakes, and streaming technologies (Kafka, Spark). • Understanding of pharmacy operations, prescription workflows, medication management, and claims processing. • Experience with pharmacy information systems (e.g., Epic Willow, Cerner PharmNet, Pyxis, or retail pharmacy systems) is a plus. • Strong problem-solving, analytical, and critical-thinking skills. • Ability to work cross-functionally and communicate technical concepts to non-technical stakeholders. • Detail-oriented with a focus on data quality, compliance, and security.