The Data Engineer II will build, maintain, and optimize data infrastructure - like databases and data pipelines - that address cross-functional critical business needs. This role is expected to improve existing methods and processes by using various languages to pull and manipulate data, develop and maintain ETL pipelines, implement quality control and monitoring processes to maintain accurate data flows, maintain comprehensive documentation of process designs, test results, and pipeline configurations, etc. This hire is expected to demonstrate proficiency in information technology engineering, including data warehousing.

 

Responsibilities

• Independently design and develop data solutions to address business challenges.
• Demonstrate proficiency across a range of technologies related to programming languages, data integration, data warehousing, data visualization and data analysis.
• Responsible for building, maintaining, and optimizing data infrastructure.
• Ensure data is collected, processed, and stored efficiently and securely.
• Integrate different data sources and create the foundations on which analytics and data science can operate.
• Understand the broad objectives of projects as well as position's role in achieving objectives; modify approach when required.
• Escalate issues to ensure execution success and keeps stakeholders informed through effective verbal and written communication.
• Learn, understand and master new methods and technologies, and act as a resource or mentor for others.
• Produce and maintain required technical documentation associated with work products.
• Adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, data security, and the software development lifecycle.

Required Qualifications

• Bachelor’s degree - preferably in Computer Science or Data Science - and at least 5 years of relevant experience OR Master’s degree in relevant field and at least 4 years of experience.
• Programming skills in Java, Python, R, or SQL.
• Hands-on experience in data engineering.

 

Preferred Qualifications

• Experience interacting with APIs to extract data.
• Hands-on experience using large language models and machine learning algorithms.
• Demonstrated experience applying AI/ML in clinical or pharmaceutical contexts.

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. 

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

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