Data Engineer

AbbVie

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
South San Francisco, CA
Salary
$96,500–$183,500 / yr
Posted
14 days ago
Freshness
Confirmed live yesterday
Closes
Sep 9, 2126

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $140k
$84k most similar roles pay here $211k

This role pays less than 62% of similar roles. Most pay $126,800–$199,100 — the shaded band above. At the midpoint, this role pays about $140k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About AbbVie

AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.

AbbVie currently has 354 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 321 roles with salary data.

Most-posted roles

View all roles at AbbVie

At a glance

TL;DR · Data Engineer

Data Engineer (Hybrid) will design and build scalable data pipelines to support modeling and simulation use cases like agentic trial design and digital twins within the clinical development and R&D domain. The role involves constructing, testing, and maintaining architectures for large-scale process systems, performing data transformation, metadata extraction, and workload management. You will collaborate with statisticians and data scientists to streamline data flow and develop reusable capabilities while ensuring compliance with Good Clinical Practices and other federal regulations. Key technical requirements include experience with SQL, Big Data Management, Master Data Management tools, and general-purpose programming languages like Python, Java, or Scala. Additionally, the role requires proficiency in modern AI frameworks such as LangChain and LangGraph, along with knowledge of Amazon Web Services and skills in handling both structured and unstructured data.

What does a Data Engineer earn in California?

Median $190278 from 38 postings across 17 companies.

See salary data

What you'll do

  • Design and build scalable data pipelines for agentic trial design, digital twins, and modeling simulations.
  • Develop, test, and maintain large-scale database architectures to support clinical development projects.
  • Build data products that perform transformation, metadata extraction, workload management, and error processing.
  • Implement automated operational and quality control processes to ensure accurate and timely reporting.
  • Create reusable code components and high-quality software following established coding best practices.
  • Develop data set processes specifically for modeling, mining, and production environments.
  • Research and propose improvements for new tools and techniques within the data pipeline.
  • Ensure all data systems comply with federal regulations, Good Clinical Practices (GCPs), and internal SOPs.

What we're looking for

  • MS or PhD in statistics, mathematics, computer science, or other quantitative disciplines with 2-3 years of experience.
  • At least 1 year of experience building production-grade data solutions using modern AI frameworks like LangGraph, LangChain, or Strands Agents.
  • Experience with general purpose programming languages such as Java, Python, Scala, C, C++, C#, Swift/Objective C, or JavaScript.
  • Experience with Big Data Management, Master Data Management tools, and SQL.
  • Ability to communicate complex technical solutions clearly to non-technical audiences.
  • Demonstrated history of successful execution in a fast-paced environment while managing multiple priorities.
  • 1+ years of experience in Amazon Web Services including admin modules (preferred).
  • Experience with R Shiny, Plotly Dash, structured/unstructured data, or Biotech/Pharma industries (preferred).

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