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Senior Data Engineer

You will have responsibility for the data architecture to collect, manage, and transform raw data into usable information for business analytics to interpret in our VineMedsTM Application. You will work with a small, tightly knit team of developers and product owners to create a new, innovative pharmaceutical insights. Your duties include working with product owners to determine the best use of data from ingest through to BI platform. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building from the ground up


  • Working with product owners to define optimal pipeline and data structure architecture

  • Write, evaluate, and refine data pipelines from multiple data sources

  • Assemble large, complex data sets meeting both functional and non-functional requirements

  • Build new methods and tools for productive and efficient data procurement, management, and analysis

  • Rapid identification and implementing processes to optimize data delivery for greater scalability, etc.

  • Developing data standards to promote security and consistent use of data

  • Define requirements for mastering key data elements

  • Integrate data from multiple, disparate sources


  • Expert knowledge of data pipelines – snowpark helpful

  • Knowledge of data modeling tools such as DBT

  • Expert knowledge of data transformation tools and techniques

  • Strong SQL skills including query optimizations from table structure to views/materialized views

  • Creating data models

  • CI/CD pipelines and version control via GIT

  • Ability to work independently and in a cohesive team


  • Minimum of 5 years designing, developing, and deploying production-quality SQL code either directly or through third party tools.

  • Minimum 3 years data transformation (ETL or ELT) with large volume data sets

  • Minimum 2 years warehouse design (star schema)

  • Knowledge of data reporting and visualization tools helpful

  • BS in computer science/computer engineering / applied math preferred


  • .NET / Python

  • Cloud based architectures such as AWS.

  • Snowflake / Snowpipe

  • ThoughtSpot

  • DBT

  • Understanding of pharmaceutical data and terminology

or email for more information

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