Senior Data Engineer II, Operational Business Insights - Quality Data Engineer

AbbVie

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, IL
Salary
$167,336–$183,500 / yr
Posted
22 days ago
Freshness
Confirmed live yesterday
Closes
Aug 19, 2126

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $175k
$117k most similar roles pay here $221k

This role pays more than 56% of similar roles. Most pay $127,325–$211,200 — the shaded band above. At the midpoint, this role pays about $175k versus about $169k 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 297 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 271 roles with salary data.

Most-posted roles

View all roles at AbbVie

At a glance

TL;DR · Senior Data Engineer II, Operational Business Insights - Quality Data Engineer

The Senior Data Engineer II (Operational Business Insights – Quality Data Engineer) joins the team to design and develop scalable data solutions and platforms for efficient processing and presentation. This role involves collaborating with cross-functional teams, including data scientists and reporting teams, to optimize loading processes and build secure endpoints for data integration across diverse systems. The position focuses on implementing data governance, security measures, and performance optimizations to ensure integrity and rapid access. Key technical requirements include experience with SQL, NoSQL, PostgreSQL, DataStage, Informatica, Cognos, and Power/BI. Candidates must utilize Databricks, PySpark, AWS Glue, Redshift, and Autosys while applying Python for machine learning and automation. The role involves building data frameworks using Data Vault and Medallion architecture to solve complex integration challenges and provide technical leadership within the operational business insights domain.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

What you'll do

  • Design and develop scalable data solutions and platforms for efficient processing and presentation.
  • Build and optimize secure endpoints to facilitate data access across diverse applications and source systems.
  • Implement data governance, security measures, and performance optimizations to ensure data integrity.
  • Develop programs for machine learning, automation, and analytics using Python or PySpark.
  • Design and implement large-scale ETL systems and data processing frameworks using Databricks, AWS Glue, and Data Vault architecture.
  • Create reports and dashboards in Cognos or Power BI to share insights and findings.
  • Manage project roadmaps and align data projects with organizational goals using JIRA and Confluence.

What we're looking for

  • Must have a BS in computer, electronics, electrical engineering, or a related field (or a Master's degree with 3 years of experience).
  • Must have 5 years of experience preparing and analyzing data and creating visualizations in a large, public company.
  • Must have 5 years of experience working with Database Technologies, SQL, NoSQL, PostgreSQL, and data quality/analytics fields.
  • Must have 5 years of experience creating reports and dashboards using Cognos or Power BI.
  • Must have 5 years of experience designing ETL systems and testing performance using DataStage or Informatica.
  • Must have 5 years of experience managing projects and stakeholders using JIRA, Confluence, SNOW, and Alation.
  • Must have 3 years of experience with cloud technologies and AWS services including Redshift.
  • Must have 2 years ensuring data quality, integrity, security, and governance.

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