Data Engineer

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.

This is a hybrid role based in Lake County, IL

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.
• 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.