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.
Job DescriptionSenior Data Engineer II (Operational Business Insights – Quality Data Engineer), AbbVie Inc., North Chicago, IL. Hybrid (onsite 3 days a week & 2 days WFH).
Key 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.
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.
Additional InformationSalary 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) to eligible employees. This job is eligible to participate in our short-term and long-term incentive programs.
AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.
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.html
Skills Required
- Bachelor’s degree in computer, electronics, electrical engineering, or a related field, plus 5 years of relevant experience; alternatively, a master’s degree in a related field plus 3 years of relevant experience.
- Experience preparing and analyzing data, developing insights, and creating visualizations in a large public company.
- Experience with database technologies, SQL and NoSQL databases, PostgreSQL, data quality, and analytics.
- Experience interpreting and analyzing data and creating reports and dashboards using Cognos and Power BI.
- Experience designing and implementing large-scale data processing and ETL systems and testing data-driven product performance using DataStage or Informatica.
- Experience creating and executing roadmaps for data analytics projects and aligning them with organizational goals using JIRA and Confluence.
- Experience managing project stakeholders and business teams and identifying business issues or requirements using JIRA, SNOW, and Alation.
- At least 3 years of experience with cloud technologies, AWS services, and Amazon Redshift.
- At least 2 years of experience ensuring data quality, integrity, security, and governance.
- At least 1 year designing and implementing large-scale ETL systems and testing performance using Databricks, PySpark, AWS Glue, and Autosys.
- At least 1 year developing machine learning, automation, and analytics programs using Python or PySpark.
- At least 1 year designing and implementing data frameworks using Data Vault and Medallion Architecture.
AbbVie Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AbbVie and has not been reviewed or approved by AbbVie.
-
Retirement Support — Retirement programs are portrayed as a standout, with a dollar‑for‑dollar 401(k) match up to 6% and an additional annual company contribution based on age and service. Feedback suggests this materially boosts perceived total compensation for many U.S. employees.
-
Parental & Family Support — Paid parental and caregiver leave are emphasized, including up to 12 weeks of fully paid parental leave for all parents and 4 weeks of paid caregiver leave in the U.S. Feedback suggests these policies are a meaningful differentiator for employees balancing family needs.
-
Leave & Time Off Breadth — Time off is described as extensive, with tiered vacation that scales with tenure, 17 company holidays, and two paid volunteer days in the U.S. Feedback suggests the breadth of leave contributes notably to overall benefits satisfaction.
AbbVie Insights
What We Do
AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.
