Associate Data Engineer I

Associate Data Engineer I

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.

The Associate Data Engineer I will help 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.

Responsibilities

• Design and develop data solutions to address business challenges.
• Demonstrate knowledge across a range of technologies related to programming languages, data integration, data warehousing, and data visualization and 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.
• Escalates 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.
• Produces and maintains 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.

Qualifications

Required Qualifications

• Bachelor's degree in computer science, data science or relevant field.
• Programming skills in Java, Python, R, or SQL.
• Prior exposure to 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.

Additional Information

• 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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Pay Range: $58656 - 103500 USD

Where We Work

Role is primarily site- or office-based but can occasionally be performed remotely. Employees who are site/office-based and can occasionally perform their role virtually work both in the office and remotely*, following the policies and regulations in place at their location. US Employees must be in the office on Tuesday, Wednesday, and Thursday with flexibility to work remotely on Mondays and Fridays. Three days in the office is the minimum; some individuals or teams may require more in-office days due to meetings, business/project needs or their role.