Data Engineer

Must Haves:

5+ years of relevant programming and/or analytic experience
Experience in working in a data warehouse environment as well as the ability to work with large data volumes from multiple data sources
Strong SQL and database development (e.g., Oracle, MS SQL, PostgreSQL, etc)
Knowledge of analytic programming tools and methods (SAS, OLAP, Business Objects, Crystal Reports)
Deep understanding of relational databases, data systems and data warehouses
Knowledge of other reporting platforms such as: Business Objects, Microsoft Access, web development technology, big data analytics, data mining, Visual Basic

Plusses:

Healthcare or pharmaceutical industry experience is preferred
Some knowledge of health care claims, products, and systems

Day-to-Day:

In role, the candidate is expected to develop core components for the Data Warehouse. Work in this role is data intensive and includes understanding of requirements, software development, unit testing, and related documentation.

Evaluate and interpret documented technical requirements and translate those into software deliverables.
Develop database software components (procedures, packages, functions, etc.) that meet documented requirements.
Identify unit test cases required to validate software components.
Execute unit test cases against software components to confirm accuracy of development.
Peer review development deliverables for team members to confirm standards and best practices.