SR. Data Engineer at Insight Global
Greenwood Village, CO
$60–$70/hrfrom the description
Jul 14, 2026
Greenwood Village, CO
Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor role on a network analytics team at a large telecommunications company, focused on building and maintaining large-scale ETL pipelines with Spark, managing data storage on AWS, and ensuring data quality for analytics workloads. The position also involves setting up monitoring and CI/CD deployment pipelines, and advising on data engineering standards. It suits an experienced data engineer with a strong background in Python, Scala or Java, and distributed systems.
Senior level · 8+ years · National · 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 (8)
Location is not specified in the posting; the role is placed by Insight Global on behalf of a telecommunications client. No city or metro could be determined.
The posting is a staffing/contract engagement through Insight Global, indicated by the hourly pay rate and recruiter framing — classified as Contract.
Degree requirement is listed as 'Bachelor's degree (or equivalent experience)', so no hard degree gate is set. The tiered YOE table (PhD: 3+, Master's: 6+, Bachelor's: 8+) implies 8 years as the minimum for a bachelor's holder; the overall years minimum is set to 8 accordingly.
Scala is explicitly marked 'preferred' in the posting ('strong expertise in Scala (preferred) or Java'), so it is listed as preferred with Java as an alternative.
AWS sub-services (S3, Lambda, Redshift, EMR) are individually named in the requirements section and extracted as separate skills alongside the parent AWS entry.
Text analysis/text mining appears at the end of the requirements section but is framed as 'familiarity with', signaling a lower bar — listed as preferred.
The role sits at the boundary between data/pipeline architecture (15-1243) and software development (15-1252); the emphasis on designing ETL pipelines, data storage architecture, and Spark-based infrastructure leans toward 15-1243, but the software-engineering framing (deployment pipelines, CI, monitoring) makes 15-1252 a credible runner-up.
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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