Senior Data Engineer, Technology I, Hybrid

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

 Are you passionate about leveraging the power of data and insights to drive organizational growth and success? Do you thrive on transforming traditional business models into dynamic, data-driven environments? If so, we have an exciting opportunity for you. 

The “Winning with Data” (WWD) capability in AbbVie’s International Commercial Business is driving the transformation of the organization into a data and insights driven decision-making organization and is seeking a talented Data Engineer to join our data engineering team. In this role, you will play a critical part in designing, building, and maintaining data solutions using Palantir Foundry to support our data-driven initiatives. 

This individual will be a key member of our Data Engineering team and will be responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and driving innovation through data engineering solutions. 

In this role you will be responsible for: 

• Planning, building, and running enterprise class information management solutions on Palantir Foundry  

• Designing, developing, testing, and maintaining data pipelines to support Analytics projects within Commercial. 

• Design, implement, and maintain scalable Functions in Palantir Foundry  

• Building data products and service processes which perform data transformation, metadata extraction, workload management and error processing management. 

• Collaborate with cross-functional teams to understand data requirements and translate them into robust and efficient solutions.  

• Develop and optimize ETL processes to ensure timely and accurate