Fraud Data Engineer
Insight Global · Ogden, UT
$40–$45/hrfrom the description
Jul 14, 2026
Ogden, UT
Jul 21, 2026
What this job asks for AI summary
A data engineering role focused on building and maintaining scalable data pipelines, integrating new data sources into a data warehouse, and supporting data science and analytical models. Day-to-day work spans SQL and Python-based data cleaning and transformation, cloud platform pipeline development, database performance tuning, and DevOps orchestration of data marts. Suits engineers with a background in big data tools, pipeline orchestration, and relational databases, ideally from a financial services environment.
Mid level · 3+ years · National · Bachelor's required · Contract
“or” means any one of them counts — you don't need all of them.
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). This posting is about at that midpoint.
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 (7)
Location is not specified in the posting; no CBSA or state could be determined. The role is staffed through Insight Global (a staffing firm), suggesting it is likely on-site or hybrid at a client location.
The posting lists 'Bachelor's Degree in related field' under the Skills and Requirements section (hard gate) and 'Master's degree in related field' in the same block without a preferred qualifier. The Bachelor's is treated as the minimum hard requirement; the Master's appears as an additional line in the same section but reads more as a differentiator — it is surfaced here for the hiring manager's awareness.
Kubernetes is listed under the requirements block but with the softer word 'Familiarity with', which signals it is not a full hard gate; it is marked preferred accordingly.
Cloud platform experience is implied by the responsibilities ('build scalable data pipelines using cloud platforms') but no specific cloud provider is named in the requirements — flagged as preferred with common alternatives.
Fraud data experience and financial industry experience appear in the requirements block but are domain/industry context rather than named technologies, so they are not emitted as skills per extraction rules. Hiring managers should note these are listed requirements.
The SOC classification is Medium confidence: the role is primarily pipeline/warehouse building (ETL, data modeling, Airflow, PySpark) pointing to 15-1243 Database Architects, but the heavy Python/serverless/API engineering work also fits 15-1252 Software Developers.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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