Data Engineer at Cornerstone OnDemand
Charlotte, NC
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Jul 27, 2026
Charlotte, NC
Jul 28, 2026
What this job asks for AI summary
A data engineering role at Cornerstone OnDemand focused on designing, building, and maintaining batch and real-time data pipelines, ETL processes, and data warehouse infrastructure. The position involves partnering with data scientists and business stakeholders to deploy ML models and deliver analytics-ready data products on cloud platforms. It suits a mid-level engineer with hands-on experience in modern data stack tooling such as dbt, Snowflake, Airflow, and Fivetran.
Mid level · 3+ years · Remote
“or” means any one of them counts — you don't need all of them.
Posted 10 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 Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (5)
Remote status is not stated; defaulted to false.
The intro narrative prominently calls out dbt and Snowflake as expected hands-on tools, but neither appears in the formal 'You have what it takes if you have…' requirements section — both are listed as preferred accordingly.
The requirements section asks for experience with 'Databricks, Apache Spark' under cloud Data Warehouse solutions; these are treated as interchangeable alternatives for the same requirement gate.
Machine learning model deployment is listed as a hard requirement in the qualifications block, but names no specific ML framework or platform, so no skill entry was created for it.
The role sits between 15-1243 (Database/Data Architects, given the data modeling, warehouse, and pipeline focus) and 15-1252 (Software Developers, given the production deployment, ML integration, and OOP language requirements); 15-1243 was chosen as primary given the dominant ETL/data-infrastructure framing.
Read the full posting
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