Senior Data Engineer II (Operational Business Insights – Quality Data Engineer)

AbbVie • North Chicago, IL

13h

About The Position

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. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok .

Requirements

• Must possess a BS in Engineering & 5 years of work experience preparing & analyzing data & preparing insights & visualizations in a large, public company.
• Of experience required, must have 5 years: working with Database Technologies, SQL & NoSQL databases, & Analytics fields; interpreting and analyzing data & sharing issues & insights by creating reports & dashboards for visualization; designing & implementing large data processing, ETL systems, & testing performance of data-driven products; creating, defining, & executing rigorous roadmaps for new data analytics projects & aligning data projects with organizational goals; & managing project stakeholders, business teams, & practicing a business mindset to understand real business issues or requirements.
• Of experience required, must have: 3 years working in cloud technologies, terminologies, platforms, & AWS services; 2 years ensuring data quality, integrity, security & governance; & 1 year working on machine learning, automation, and latest analytics languages (R or Python).
• Alternatively, would accept Masters in Engineering & 3 years of work experience preparing & analyzing data & preparing insights & visualizations in a large, public company.
• Of experience required, must have 3 years of (i), (ii), (iii), (iv) & (v).
• Of experience required, must have: 2 years working in cloud technologies, terminologies, platforms, & AWS services; 1 year ensuring data quality, integrity, security & governance; & 1 year working on machine learning, automation, and latest analytics languages (R or Python).
• Work experience may be gained concurrently.
• Will accept any combination of education, training & work experience

Responsibilities

• Design & develop scalable data solutions & platforms for efficient data processing & presentation.
• Collaborate with cross-functional teams, including data engineers, reporting teams, & data scientists, to understand data requirements & optimize loading processes.
• Build & optimize secure endpoints to facilitate data access, retrieval, & integration across diverse applications & source systems.
• Implement data governance, security measures, & performance optimizations to ensure data integrity & quick, accurate access.
• Provide technical leadership, stay updated with emerging technologies, & collaborate to address data integration challenges & drive innovation.

Benefits

• 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 and long-term incentive programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level