Data Engineer at Saige Partners
Champaign, IL
—
Aug 2, 2026
Champaign, IL
Sep 24, 2026
What this job asks for AI summary
A data engineering role focused on designing, building, and maintaining scalable data pipelines and platforms that support analytics, machine learning, and business intelligence. The position involves working with cloud infrastructure, distributed processing frameworks, and workflow orchestration tools, collaborating across engineering, data science, and business teams. Suited to a mid-level data professional with 3–6 years of hands-on pipeline and platform experience.
Mid level · 3+ years · Champaign-Urbana, IL · 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
Roughly 35 people in IL plausibly meet what this posting asks for (database architects). range 20–55
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $145,634 (middle half $125,030–$171,562).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 3, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role sits between data pipeline/architecture work (15-1243) and general software development (15-1252); the emphasis on building pipelines, data platforms, and data products leans toward 15-1243, but the software engineering practices (CI/CD, IaC, automated testing) make 15-1252 a plausible alternative.
Apache Spark and Databricks are listed together as interchangeable examples of distributed processing technologies ('such as Apache Spark or Databricks'), so they are captured as a single requirement with alternatives.
AWS, Azure, and GCP are listed as interchangeable cloud platform options; AWS is used as the primary name with the others as alternatives.
Apache Airflow is listed with 'such as' framing ('workflow orchestration tools such as Apache Airflow'), making it a substitution qualifier — it is still a hard gate on workflow orchestration capability, with Airflow as the named example.
Infrastructure as Code and automated testing are named as concrete practices within the requirements block but do not resolve to a single canonical tool name; they are retained as skills because the posting explicitly names them as requirements rather than generic concepts.
Experience in financial services, consulting, or risk management is listed as a plus and has been omitted from the skills list as it is a domain background note rather than a named technology.
No compensation range is provided in the posting.
Read the full posting
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