Data Engineer

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September 11

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Morris & Dickson Co., LLC

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Healthcare Insurance • Pharmaceuticals • B2B

Morris & Dickson Co. , LLC is the largest independent full-line pharmaceutical distributor in the United States, focused on reliable, next-day delivery of pharmaceutical and healthcare products. With a diverse inventory of over 30,000 SKUs, the company services health systems, independent pharmacies, specialty pharmacies, and alternate care facilities across 27 states. Established in 1841, Morris & Dickson is known for its exceptional personal service, transparent pricing, and commitment to elevating patient care in the healthcare supply chain.

501 - 1000 employees

Founded 1841

⚕️ Healthcare Insurance

💊 Pharmaceuticals

🤝 B2B

📋 Description

• Reporting to the VP, Data & Analytics, the Analytics Engineer plays a vital role in designing, implementing, and optimizing data solutions leveraging Databricks and Power BI. • Collaborate with cross-functional teams to build full-stack data and BI solutions that drive business impact. • Design and implement scalable data systems using Databricks and Prefect. • Partner cross-functionally with data teams, stakeholders, and business units to deliver aligned, well-documented solutions that meet evolving needs. • Build and optimize Power BI dashboards. • Establish governance frameworks with Unity Catalog, semantic layers, and secure access controls to ensure data integrity and usability across departments. • Responsibilities may evolve based on the strengths and experience of the selected candidate.

🎯 Requirements

• Skilled in Python, SQL, and Power BI. • Hands-on experience across major cloud platforms (Azure, AWS, GCP). • Excellent problem-solving abilities and communication skills, with a track record of cross-functional collaboration. • Preferred: 3+years in scalable data architecture design, including pipeline development (Databricks, Spark, Snowflake, DBT, Prefect, SQLMesh, etc). • Preferred: Familiarity with CI/CD pipelines for automated testing and deployment. • Preferred: Experience in machine learning pipelines and API development. • Preferred: Experience with Flask/Fastapi/Django. • Preferred: Experience in pharmaceuticals, logistics, or a highly regulated industry.

🏖️ Benefits

• Medical, Dental, and Vision Insurance, HRA, HSA, and FSA reimbursement accounts, Basic & Voluntary Life Insurance, Short & Long-term Disability Insurance, Paid Time Off, Paid Holidays, Fitness Program Reimbursement, Employee Assistance Program, 401K Savings Plan with a company match