Data Engineer

Mettawa, IL

• Function: Corporate
• Job Type: Full-time

Job ID: R00128770
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.
Job Description
Come to work each day with an inclusive and collaborative Business technology team! As an Data Engineer in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.

TECHNICAL SKILLS:

• Demonstrated experience in implementing Data Warehouse/Data Lake solutions using cloud-based databases such as Snowflake, Azure SQL Database, or RedShift.
• Proficiency in programming languages and databases, including Python, SQL, and tools like Snowflake and Snowpark, for tasks involving data manipulation, storage, and automation.
• At least 3 years of experience in data management, business analysis, and developing analytical models using statistical, machine learning, and data mining methodologies to drive business impact.
• Minimum of 2 years of experience with machine learning algorithms, including Linear and Logistic Regression, Decision Trees, Random Forest, and Neural Networks.
• Familiarity with data visualization tools such as Qlik, Power BI, or Tableau.
• Strong analytical reasoning, intellectual curiosity, business acumen, and creative problem-solving skills.
• Excellent communication skills, with the ability to effectively interact and present information both verbally and in writing across all organizational levels.
• Ability to adapt to changing business conditions with agility and nimbleness, demonstrating strong collaboration and teamwork across functional groups.
• Leadership capabilities to strategically guide the team and build trust and respect within the department.
  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.htm

PURPOSE

We are seeking a curious, creative, and business-oriented Data Engineer to join our BTS US Commercial Patient Services team. The ideal candidate will possess strong analytical skills and a deep affinity for analysis, math, and statistics. In addition to expertise in quantitative methodologies and programming, a keen business acumen is essential. A passion for data exploration, machine learning, and innovative thinking is crucial. Staying updated with leading-edge data science technologies and utilizing relevant technical skills and methodologies are key aspects of this role.

RESPONSIBILITIES

• Demonstrate a deep understanding of data concepts, analytics, complex data structures, and relationships.
• Create and maintain comprehensive system and project documentation, including change requests, functional requirements, test plans, data migration plans, and cutover plans. Delegate appropriate tasks to junior analysts.
• Review and refine data models for development projects, assisting team members in understanding and adhering to established standards.
• Partner with key stakeholders and external vendors/partners to maintain, optimize, scale, and operationalize existing machine learning models.
• Establish trust with business leadership to ensure data and deliverables reflect advanced data science best practices.
• Provide technical leadership in evaluating business use cases for data science feasibility and collaborate with development teams to design and implement data science solutions and capabilities.
• Identify new data science methodologies to enhance our ability to address commercial business questions. Collaborate with stakeholders to translate business queries into algorithms that support business objectives.
• Collaborate with stakeholders to define business questions, timelines, requirements, objectives, and success criteria for data science initiatives.
• Stay informed on the latest trends and innovations in data engineering to drive ongoing improvement and innovation.
• Ensure all project activities are completed timely, accurately, within budget, and comply with financial and ethical guidelines.
  Qualifications
• 
  Bachelor’s Degree with a minimum of 5 years of relevant experience, or a Master’s Degree with at least 4 years of experience. Experience within the pharmaceutical industry is preferred.