Senior Data Engineer Hybrid

Role Summary

Senior Data Engineer responsible for designing, building, and maintaining data pipelines and data solutions using Palantir Foundry to support data-driven initiatives across AbbVie’s Commercial Analytics. You will design, develop, and maintain data pipelines, ensure data quality, and drive innovation through data engineering solutions. Work with cross-functional teams to translate data requirements into robust, scalable data products and services.

Responsibilities

• 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 data delivery to various business applications
• Implementing standardized, automated operational and quality control processes to deliver accurate and timely data and reporting
• Adhering to best practices for coding, testing, and designing reusable code/component
• Collaborating with Data Analysts and Scientists to enable streamlined data flow for the Commercial Analytics capabilities across brands
• Ensuring appropriate security and compliance policies are followed for information access and dissemination
• Defining and applying information quality and consistency business rules throughout the data processing lifecycle
• Collaborating with information providers to ensure quality data updates are processed in a timely fashion
• Working in self-responsible Agile Teams

Skills

• Palantir Foundry
• PySpark, Python, and SQL
• Data Modeling
• Git, Jira, Confluence
• AWS
• Typescript & Javascript knowledge is a plus

Qualifications

• Required: Bachelor's Degree with 6 years’ experience; or Master's Degree with 4 years’ experience
• Required: 6+ years of experience in data engineering, preferably within the pharmaceutical or life sciences industry
• Required: Experience in data processing roles such as database developer/administrator, ETL/Big Data developer, data analyst and/or BI analytics developer
• Required: Experience with cloud platforms, big data platforms and one or more general purpose programming languages, including but not limited to: Python, SQL, Spark, Amazon Web Services, Typescript and Javascript
• Required: Experience with DevOps principals and version control (Git preferred)
• Required: End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Required: Good communication and presentation skills, being able to explain complex problems and the solutions applied, and comfortable in presenting technical solutions to a nontechnical audience
• Preferred: Experience with Veeva CRM, Reltio, SAP and/or Palantir Foundry
• Preferred: Knowledge of pharmaceutical industry regulations, such as data privacy laws, is highly desirable
• Preferred: Affinity to either performance optimizing, user experience design, automated testing and/or data science