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Lead Data and Analytics Engineer

Reads like an AI Engineer role: building products on existing AI models.

North Chicago, IL, United States

Live, first seen by us 25 days ago
Pay
Pay not listed
Work setting
HybridLocation limits apply — work setting source
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:
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Employer’s visa record
369 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • 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.

Preferred experience

  • 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.
Qualification wording
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.
Education & alternatives
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.

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.

In the employer’s words · Read in context

Apply at AbbVie

Posting record

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Status in our records
Live
First seen by us
Oct 19, 202625 days ago
Recorded sightings
159
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

AbbVie is hiring

96 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down quickly
  • 21% of open jobs were reposted
Hiring record

See how this role fits your experience

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.

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • dbt
  • Kafka
  • Prefect
  • Spark
  • Airflow
  • GCP
Where the posting names them
- 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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About AbbVie

People
About 57,000 in 2025, up 4% from the year before.Annual report (SEC Form 10-K)
Company
Listed as ABBV.
H-1B visas
76 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices
Notices this year and last cover 144 people. The latest was filed May 19, 2026.State WARN notices

Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

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.

Job description

View original posting ↗

Job Description

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:  

  • Engage deeply with Corporate Services and HR stakeholders to understand current-state processes, pain points, constraints, to-be business requirements, and success metrics; translate these into technical solution designs that deliver measurable efficiency gains.   
  • Engineer and implement scalable data engineering solutions; delivering clean, scalable, production-ready code that integrates with enterprise systems and optimizes business partner workflows.  
  • Prioritize rapid prototyping and iterative development, building working MVPs quickly to validate solutions with stakeholders, then refining based on feedback to accelerate time-to-value.  
  • Cultivate cross-team relationships while continuously expanding technical knowledge; identifying existing capabilities, shared platforms, and collaborative opportunities that maximize internal resources and drive productivity gains.  

Qualifications

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.  
  • 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. 
  • 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. 
  • Proven ability to deliver and maintain production-grade software in enterprise environments, including ongoing support, monitoring, and iterative improvements.  
  • Strong analytical, problem-solving, and diagnostic skills with ability to understand business processes and identify automation opportunities. 
  • Broad technical proficiency across software development, data integration, cloud platforms, and enterprise systems — with ability to rapidly learn and apply new technologies.  
  • Excellent written and oral communication skills, including ability to communicate technical concepts to non-technical stakeholders.  
  • Operate with high autonomy and minimal supervision—proactively managing stakeholder expectations and keeping leadership informed through clear, concise verbal and written communication.  
  • Demonstrated ability to mentor technical staff, lead cross-functional teams, and drive initiatives to completion.

Preferred:

  • 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. 
  • Exposure to graph databases and GraphQL a plus. 

Additional Information

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 long-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

Company Description

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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Location & working pattern

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:
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