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Company Description 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 Description Senior 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. Qualifications 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 Information Salary Range: $167,336 - $183,500 per year. Apply online at https://careers.abbvie.com/en or send resume to Job.opportunity.abbvie@abbvie.com. 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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.