Senior Engineer, Technology II (Data Engineer)

Role Summary

Conceive, design, engineer and implement robust data pipelines, products and technology solutions. Act as a lead engineer in data and related technology solutions leveraging modern data engineering platforms; blending traditional data engineering with emerging AI solutions for advanced data profiling, discovery and transformation.

Responsibilities

• Conceive, design, engineer, and implement software and technology solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise.
• Demonstrate high proficiency across a wide range of technologies and platforms related to software design and development, programming languages, data integration, data warehousing, data analysis and visualization tools, data storage, network connectivity, and virtualization/cloud environments.
• Demonstrate knowledge of the pharmaceutical and healthcare business, and utilize this knowledge in the rapid advancement of agile, impactful, and cost-effective solutions.
• Highly autonomous and productive in performing activities, requiring only minimal direction from or interaction with supervisor. Keeps key stakeholders informed through effective verbal and written communication.
• Matures and leverages relationships with affiliates, subsidiaries, vendors, and industry peers in accordance with Abbvie Values, Vendor Management Office, and Purchasing to further the mission, vision and goals of the organization.
• May mentor/supervise a team of one or more and guide and evaluate the performance of those individuals; is accountable for the effective performance of the team/individuals.
• Understand and 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

• Preferred: Bachelor's Degree with 7 years experience; Master's Degree with 6 years experience; PhD with 2 years experience in the pharmaceutical industry.
• Required: 3 years’ experience with one or more Business Intelligence solutions (PowerBI, Dataiku, Python, Databricks, AMR, Fabric, etc.) and SQL language.
• Required: 3 years’ experience with data analysis or statistics for data science plus experience with software development and quality assurance/SDLC and IT system compliance.
• Required: Possess thorough theoretical and practical understanding of own discipline.
• Required: Proven implementation of creative technology solutions that advanced the business.
• Required: Excellent written and oral English communication skills.