Sr Data Engineer

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

CoverMyMeds’ Technology is looking for a Senior Data Engineer – Transactional Data to join our Data Engineering team. Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality, repeatable and scalable data solutions.  Together with our various business units, the work our Data Engineering team does ultimately helps get more people the medicine they need to live healthier lives.   

What You'll Do : 

The Senior Data Engineer - Transactional Data will support and expand the data platforms that process, store, organize the data critical for our Product Engineering teams. This role will participate in the technical strategy and execution to provide trusted, stable, reliable, responsive, and secure solutions and proactively inform business partners on Data & Analytics platform and product health, and problem resolution. The Senior Data Engineer will work collaboratively with our Data Systems Analysts as well as our Product and Technology partners to solve business problems and deliver solutions.  

Key Responsibilites: 

• Design and develop solutions and commissions of complex data across systems for McKesson/CoverMyMeds internal and external customers.   

• Develop Data Ingestion and Integration pipelines from various sources to application data stores.  

• Work with databases, files and unstructured data to identify, transport and quality test the data required to drive our data synchronization tasks to perform regular and incremental loads of data.   

• Write program/code in SQL and / or cloud based tools such as Snowflake or Databricks to cleanse, apply business logic and standardize the data according to business rules, enabling more effective data governance along with clear and efficient end-user reporting.   

• Design conceptual data model based on business reporting requirements, interacting with business partners to understand the business logic and end-use of the data.   

• Work with the application development teams to determine data needs and architect appropriate flows into production systems.   

Minimum Qualification: 

Degree or equivalent and typically requires 7+ years of relevant experience 

Education: 

• Bachelor's degree in. Computer Science, Information Systems, or related field.  

Critical Skills: 

• Strong (7+ years'), hands-on experience as a technologist working with data warehouse solutions, cloud technology, relational databases and event streaming tools such as Postgres, SQL Server, Qlik, Databricks, Kafka, etc.   

• Strong (7+ years'), hands-on experience with Azure and Azure Data Factory