Process Analytics Senior Data Engineer
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North Chicago, IL
- Corporate
- Hybrid
- Full-time
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.
The Data Engineer acts as both a hands-on builder and a technical leader, designing, building, and optimizing data pipelines and models to support reliable, efficient and standardized bioprocess improvement advanced analytics. This role translates business requirements into robust, scalable data structures and workflows, ensuring quality, compliance, and performance. As a technical leader, the Data Engineer defines and guides data strategy, establishes execution roadmaps, and mentors other team members.
Responsibilities
- Provide technical leadership in designing, developing, and maintaining conceptual, logical, and physical data models, architecting and optimizing ELT pipelines and database structures including tables, data types, indexes, keys, and join logic
- Define and implement data strategies, architectural standards, best practices, coding standards, and governance frameworks
- Guide and coach engineering teams in the implementation and optimization of scalable data solutions, ensuring alignment with enterprise strategy
- Translate business needs into effective data architectures, workflows, and products in collaboration with cross-functional teams, including data architects and engineers
- Manage metadata, maintain data lineage, oversee compliance initiatives, and lead efforts in quality improvement, integrity checks, and duplicate detection
- Conduct data model reviews, document specifications, and communicate technical roadmaps to stakeholders
- Lead implementation of automated data validation, unit testing, and deployment workflows, promoting agile and CI/CD methodologies
- Apply advanced data governance practices to reduce redundancy, optimize scalability, and ensure consistent execution across the enterprise
Required:
· Bachelor’s Degree with 6 years’ experience; Master’s Degree with 5 years’ experience; PhD with 0 years’ experience.
· Strong SQL and Python skills; experience with ODBC interfaces (Oracle, SQL Server)
· Proficiency with data modeling tools (ERwin, PowerDesigner, SqlDBM, or similar)
· Deep understanding of dimensional modeling, data warehousing, and data governance
· Familiarity with cloud services (AWS - RedShift EC2, Azure)
· Background in data governance and data quality concepts
· Excellent analytical, problem-solving, and communication skills
· Demonstrated experience collaborating with technical and non-technical stakeholders to deliver IT/OT data products in accordance with ISA88/ ISA95 best practices
· Proven record of success in fast-paced environments, managing multiple priorities effectively
Beneficial:
· Familiarity with Ignition, High Byte or equivalent technologies
· Experience within pharma or biotech industries
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
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 incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
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
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If you have any questions or concerns regarding the authenticity of a communication alleged to have been made by or on behalf of AbbVie, please contact us immediately.
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- Yes, 10% of the Time
Pay Range: $
94000 - 178500 USD
Where We Work
Role is primarily site- or office-based but can occasionally be performed remotely. Employees who are site/office-based and can occasionally perform their role virtually work both in the office and remotely*, following the policies and regulations in place at their location. US Employees must be in the office on Tuesday, Wednesday, and Thursday with flexibility to work remotely on Mondays and Fridays. Three days in the office is the minimum; some individuals or teams may require more in-office days due to meetings, business/project needs or their role.