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

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 .

Senior Data Engineer II (Operational Business Insights – Quality Data Engineer), AbbVie Inc., North Chicago, IL. Hybrid (onsite 3 days a week & 2 days WFH).

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.

Education & Experience Must possess a BS in computer, electronics or electrical engineering or related field & 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, PostgreSQL, data quality & analytics fields; interpreting & analyzing data & sharing issues & insights by creating reports & dashboards for visualization in Cognos & Power/BI; designing & implementing large data processing, ETL systems, & testing performance of data-driven products using DataStage or Informatica; creating, defining, & executing rigorous roadmaps for new data analytics projects & aligning data projects with organizational goals using JIRA & Confluence; & managing project stakeholders, business teams, & practicing a business mindset to understand real business issues or requirements using tools like JIRA, SNOW & Alation. Must also have (vi) 3 years of experience working in cloud technologies, terminologies, platforms, & AWS services including Redshift. Alternatively, would accept Masters in computer, electronics or electrical engineering or related field & 3 years of work experience preparing & analyzing data & preparing insights & visualizations in a large, public company. Of experience required, must have 3 years’ experience in each of (i), (ii), (iii), (iv), (v), & (vi). With either combination of education & work experience, must have 2 years ensuring data quality, integrity, security & governance & 1 year in each of the following: designing & implementing large data processing, ETL systems, & testing performance of data-driven products using a combination of Databricks, PySpark, AWS Glue, & Autosys; developing programs for machine learning, automation, & latest analytics using Python, or PySpark languages; & designing & implementing data frameworks using Data Vault, & Medallion architecture. Work experience may be gained concurrently. Will accept any combination of education, training & work experience.

Salary Range: $167,336 - $183,500 per year. Apply online at https://careers.abbvie.com/en or send resume to [email protected] . Refer to Req ID: REF49884W ---------------------------------------------------------------------------- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k)