Data Engineer

AbbVie

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Florham Park, NJ
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

The Data Engineer will design and build scalable data pipelines to support modeling and simulation use cases, including agentic trial design and digital twins within the clinical development and R&D domain. Working closely with statisticians, data scientists, and business teams, the role involves constructing architectures for large-scale process systems, performing data transformation, and implementing automated quality control processes. The candidate will utilize modern cloud-based tools, AI frameworks like LangGraph and LangChain, agent frameworks, and code generation tools to develop robust data products. Required technical skills include proficiency in programming languages such as Python, Java, or Scala, alongside experience in Big Data Management, SQL, and NoSQL. The role focuses on transforming clinical development through innovative data solutions while ensuring adherence to federal regulations and Good Clinical Practices.

What does a Data Engineer earn?

Median $160400 from 184 postings across 53 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 infrastructure following best practices for coding and design.
  • Research new tools and techniques to improve existing data pipeline capabilities.
  • Develop specialized processes for data modeling, mining, and production.
  • 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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