Data Engineer, PDS&T CMC at AbbVie
North Chicago, IL
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Aug 10, 2026
North Chicago, IL
Sep 24, 2026
What this job asks for AI summary
A data engineering role embedded within AbbVie's Product Development Science & Technology (PDST) group, focused on building and operating production-grade data pipelines that integrate pharmaceutical manufacturing systems — MES, LIMS, QMS, ERP, and process historians — into governed, AI-ready data products. The work spans lakehouse architecture, semantic data modeling, data quality frameworks, and enabling ML/AI programs across CMC and biologics manufacturing.
Mid level · 2+ years · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 13, 2026. It is a model, not a headcount.
Why we read it this way (8)
No work location is specified in the posting; the CBSA and state fields are left blank. The role appears to be US-based given the equal opportunity and pay disclosure language referencing US & Puerto Rico.
The compensation range is referenced but no actual figures are disclosed in the posting text.
The degree requirement states a Bachelor's plus 2 years OR a Master's with 0 years. Because a Master's alone satisfies the gate, a Bachelor's is the minimum hard-required degree when paired with experience — captured as Bachelors with the overall years minimum of 2.
The ETL/ELT tools (Informatica, Talend, Apache NiFi, AWS Glue, Azure Data Factory) are listed in the required section with 'such as' framing, indicating the named tools are interchangeable examples of a hard-gated capability; Informatica is used as the primary with the others as alternatives.
dbt, Spark, Airflow, Databricks, and Snowflake are similarly listed as 'such as' examples of modern data stack components under the required section; dbt is used as the primary with the others as alternatives.
AWS, Azure, and GCP are listed as interchangeable cloud platform options under the required section.
SOC classification is Medium confidence: the role is primarily a data pipeline/architecture role (15-1243) but has substantial software engineering characteristics — writing application code, CI/CD, infrastructure-as-code — that could support 15-1252.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): 21 CFR Part 11.
Read the full posting
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