Senior Data Engineer - People Analytics at EchoStar
Greenwood Village, CO
$96,250–$137,500from the description
Aug 6, 2026
Greenwood Village, CO
Sep 24, 2026
What this job asks for AI summary
A People Analytics role on EchoStar's HR team focused on building and maintaining data pipelines, integrations, and visualizations that turn raw workforce metrics into executive-ready insights. The position involves designing ETL processes and data objects in a Snowflake cloud environment, developing Tableau dashboards and Python-based analytics products, and consulting directly with HR Business Partners and senior leadership to support strategic workforce decisions. Suited to an experienced data professional comfortable operating at the intersection of HR and data engineering.
Senior level · 5+ years · Denver-Aurora-Lakewood, CO · Full-time
“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
Roughly 3 people in the Denver-Aurora-Lakewood, CO area plausibly meet what this posting asks for (operations research analysts). range 1–5
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $130,621 (middle half $103,906–$160,606). 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 Aug 7, 2026. It is a model, not a headcount.
Why we read it this way (6)
The posting's location is not explicitly stated; EchoStar/DISH is headquartered in Englewood, CO (Denver metro), so the Denver CBSA is inferred. Candidates should verify the actual work location.
The degree requirement lists a Bachelor's in a technical field but explicitly accepts 'equivalent combination of education and experience,' so no hard degree gate is set.
Tableau and Alteryx are listed together with 'and/or' in the Required Technical Skills section. Tableau is treated as the primary named tool with Alteryx as an alternative; Alteryx is also listed separately as a preferred skill since it may stand alone as a distinct tool in the stack.
Python, R, and SAS are listed as interchangeable programming language options under Required Technical Skills ('such as'). Python is the primary; R and SAS are alternatives. R and SAS are also listed separately as preferred to reflect that they are distinct tools a candidate might bring independently.
Snowflake and ETL are called out explicitly in the job duties/objectives section with firm language ('design seamless integrations,' 'pipeline architecture, ETL processes') and are treated as hard requirements even though they appear in the duties narrative rather than a formal requirements block.
The SOC classification is Medium confidence: the role blends data/BI analysis (15-2031) with meaningful data engineering and pipeline/warehouse work (15-1243). The analytical and reporting outputs to leadership tipped the classification toward 15-2031.
Read the full posting
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