Time since we first saw it
Day 25
Similar jobs usually come down between day 4 and day 77.
Well past AbbVie’s usual: its jobs come down by about day 11.
From 51 similar postings that came down, and 295 of AbbVie’s. Coming down is not always a hire.
Reads like an AI Engineer role: building products on existing AI models.
North Chicago, IL, United States
Live, first seen by us 25 days agoAs a Lead Data and Analytics Engineer, you will drive measurable business impact by designing and implementing data solutions that transform how our Corporate Services and HR business partners operate. You will serve as the critical bridge between complex business needs and technical execution—deeply understanding current-state processes, translating inefficiencies into innovative automation opportunities, and leveraging enterprise tools to deliver rapid ROI. This role uniquely combines hands-on technical leadership with strategic thinking: you will architect end-to-end solutions, build working prototypes, mentor the team in design thinking and agentic development, and ensure every solution drives tangible efficiency gains and value for stakeholders. This role reports to the Associate Director, BTS Corporate Services within the Business Technology Solutions department. We set the vision for how data, analytics and AI automation enhance our enterprise systems. We work closely with business partners and technical implementors to bring that vision to life. This is a hybrid role required to be on-site Tuesday through Thursday every week in Lake County, IL. Responsibilities:Read the full posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Interview Corporate Services and HR stakeholders to map current processes and define success metrics
Engineer production-ready data pipelines that integrate with enterprise systems
Build working MVPs quickly, then refine them based on stakeholder feedback
Mentor technical staff and lead cross-functional initiatives to completion
Identify shared platforms and cross-team opportunities to raise productivity
Engage deeply with Corporate Services and HR stakeholders to understand current-state processes, pain points, constraints, to-be business requirements, and success metrics
Engineer and implement scalable data engineering solutions; delivering clean, scalable, production-ready code that integrates with enterprise systems
building working MVPs quickly to validate solutions with stakeholders, then refining based on feedback
Demonstrated ability to mentor technical staff, lead cross-functional teams, and drive initiatives to completion.
identifying existing capabilities, shared platforms, and collaborative opportunities that maximize internal resources and drive productivity gains
Bachelor's Degree with 7 years of experience; Master's Degree with 6 years of experience; or PhD with 2 years of relevant experience.
Python and SQL proficiency required — expert-level ability to write production-quality code for pipeline automation, LLM enrichment, and enterprise integrations.
Experience developing batch and real-time data pipelines using technologies such as Apache Spark, Apache Kafka, Apache Flink, Databricks, or equivalent platforms.
Experience with modern cloud data platforms and services, such as Azure, AWS, or Google Cloud.
Strong knowledge of data modeling, data warehousing, data lakes, and data lakehouse architectures.
Experience implementing data quality, observability, lineage, metadata management, governance, and security.
Experience in the pharmaceutical industry or other highly regulated environments is preferred.
Understanding of SDLC methodologies, GxP compliance, and validation requirements is preferred.
Experience in working with international development teams across multiple time zones is preferred.
Required: - Bachelor's Degree with 7 years of experience; Master's Degree with 6 years of experience; or PhD with 2 years of relevant experience. - Python and SQL proficiency required — expert-level ability to write production-quality code for pipeline automation, LLM enrichment, and enterprise integrations.
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.
In the employer’s words · Read in context
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Day 25
Similar jobs usually come down between day 4 and day 77.
Well past AbbVie’s usual: its jobs come down by about day 11.
From 51 similar postings that came down, and 295 of AbbVie’s. Coming down is not always a hire.
96 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Bachelor's Degree with 7 years of experience; Master's Degree with 6 years of experience; or PhD with 2 years of relevant experience. - Python and SQL proficiency required — expert-level ability to write production-quality code for pipeline automation, LLM enrichment, and enterprise integrations. - Experience developing batch and real-time data pipelines using technologies such as Apache Spark, Apache Kafka, Apache Flink, Databricks, or equivalent platforms.
- Experience developing batch and real-time data pipelines using technologies such as Apache Spark, Apache Kafka, Apache Flink, Databricks, or equivalent platforms. - Experience with modern cloud data platforms and services, such as Azure, AWS, or Google Cloud. - Strong knowledge of data modeling, data warehousing, data lakes, and data lakehouse architectures.
- Python and SQL proficiency required — expert-level ability to write production-quality code for pipeline automation, LLM enrichment, and enterprise integrations. - Experience developing batch and real-time data pipelines using technologies such as Apache Spark, Apache Kafka, Apache Flink, Databricks, or equivalent platforms. - Experience with modern cloud data platforms and services, such as Azure, AWS, or Google Cloud.
- Experience implementing data quality, observability, lineage, metadata management, governance, and security. - Familiarity with data orchestration tools like Apache Airflow, dbt, Prefect, etc. - Experience preparing enterprise data for AI engineering use cases, including embedding and vectorization pipelines, Retrieval-augmented generation and semantic search architectures, Vector databases or vector search capabilities, and generative AI and agentic AI applications.
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
As a Lead Data and Analytics Engineer, you will drive measurable business impact by designing and implementing data solutions that transform how our Corporate Services and HR business partners operate. You will serve as the critical bridge between complex business needs and technical execution—deeply understanding current-state processes, translating inefficiencies into innovative automation opportunities, and leveraging enterprise tools to deliver rapid ROI. This role uniquely combines hands-on technical leadership with strategic thinking: you will architect end-to-end solutions, build working prototypes, mentor the team in design thinking and agentic development, and ensure every solution drives tangible efficiency gains and value for stakeholders.
This role reports to the Associate Director, BTS Corporate Services within the Business Technology Solutions department. We set the vision for how data, analytics and AI automation enhance our enterprise systems. We work closely with business partners and technical implementors to bring that vision to life. This is a hybrid role required to be on-site Tuesday through Thursday every week in Lake County, IL.
Responsibilities:
Required:
Preferred:
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
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
About AbbVie
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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
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North Chicago, IL, United States
As a Lead Data and Analytics Engineer, you will drive measurable business impact by designing and implementing data solutions that transform how our Corporate Services and HR business partners operate. You will serve as the critical bridge between complex business needs and technical execution—deeply understanding current-state processes, translating inefficiencies into innovative automation opportunities, and leveraging enterprise tools to deliver rapid ROI. This role uniquely combines hands-on technical leadership with strategic thinking: you will architect end-to-end solutions, build working prototypes, mentor the team in design thinking and agentic development, and ensure every solution drives tangible efficiency gains and value for stakeholders. This role reports to the Associate Director, BTS Corporate Services within the Business Technology Solutions department. We set the vision for how data, analytics and AI automation enhance our enterprise systems. We work closely with business partners and technical implementors to bring that vision to life. This is a hybrid role required to be on-site Tuesday through Thursday every week in Lake County, IL. Responsibilities:
No clear work-authorization passage found. Eligibility is unconfirmed.