Senior Engineer, Technology I

Company Description

About AbbVie

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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

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 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. 

Tools and skills you will use in this role: 

• Palantir Foundry 

• PySpark, Python, and SQL 

• Data Modeling 

• Git, Jira, Confluence 

• AWS 

Qualifications

 Required:

• Bachelor’s Degree with 6 years’ experience; Master’s Degree with 5 years’ experience; PhD with 0 years’ experience.
• 4+ years of experience in data engineering, preferably within the pharmaceutical or life sciences industry.
• Experience in data processing roles such as ETL/Big Data developer, data analyst and/or BI analytics developer.  
• 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.
• Experience designing and implementing ETL/ELT workflows and integrating data from multiple sources. 
• Experience with DevOps principals and version control.
• End-to-end experience with data, including querying, aggregation, transformation, modeling, analysis, and visualization.  
• 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 enterprise data tools such as Palantir Foundry, Databricks, Snowflake, etc. is a plus.

• Affinity to either performance optimizing, user experience design, automated testing and/or data science.  
• Proficiency with Git.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html