Data Engineer

CoverMyMeds is part of McKesson, a Fortune 10 company focused on improving healthcare accessibility. They are seeking a Specialist in Data Engineering to support and expand data platforms for commercial data products, working closely with various teams to deliver scalable data solutions.

Responsibilities:

• Design and develop data solutions that integrate proprietary and third-party data sources to support commercial data products and proof-of-concept initiatives
• Build and optimize data ingestion and transformation pipelines that enable rapid iteration while maintaining quality and governance standards
• Work with structured and unstructured data to prepare enhanced, sample, or prototype datasets for internal stakeholders and potential external customers
• Write SQL and/or use cloud-based tools such as Snowflake or Databricks to cleanse, standardize, and enrich data aligned to defined business use cases
• Collaborate with Product, Analytics, and external-facing teams to translate commercialization objectives into scalable data assets
• Contribute to conceptual data models and reusable data patterns that support future data product expansion
• Partner with application and platform teams to understand upstream data flows and design appropriate ingestion strategies
• Support monitoring of data quality, performance, and reliability for commercialized data assets

Requirements:

• Degree or equivalent and typically requires 4+ years of relevant experience
• Bachelor's degree in Computer Science, Information Systems, or related field
• 4+ years of experience in data engineering, analytics engineering, or modern data platform environments
• 4+ years hands-on experience with cloud data technologies such as Snowflake, Databricks, or similar platforms
• Strong (4+ years) SQL skills and experience transforming data for analytical, reporting, or product-oriented use cases
• Experience integrating data from multiple internal and third-party systems
• Experience working with structured and semi-structured data in batch and/or streaming environments
• Working knowledge of data modeling principles and data quality practices
• Experience supporting analytics, reporting, or externally facing data use cases
• Experience with or interest in data commercialization, data products, or externally facing analytics solutions
• Experience building prototype or proof-of-concept data assets, or interest in working in rapid iteration environments
• Comfort working with evolving requirements and ambiguity
• Ability to translate loosely defined business ideas into structured data outputs
• Strong collaboration skills across product, analytics, and technical teams
• Ownership mindset with a bias toward execution