Melbourne, FL

Salary
$98,400–$184,200from the description
Posted
Jul 12, 2026
Location
Melbourne, FL
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

This role centers on building and maintaining ETL pipelines, data models, and analytics infrastructure that pulls from multiple disparate sources, with a focus on data quality and governance. The position also involves developing Tableau dashboards and reporting tools for both executive and operational audiences. It suits engineers with a background in data or analytics engineering who hold an active Secret clearance and are comfortable working across technical and non-technical teams.

Senior level · 5+ years · Palm Bay-Melbourne-Titusville, FL · Bachelor's required · Secret clearance · Full-time

Advertised as Principal, but the requirements read as Senior.

Must have (6)
SQLPythonTableauETLGitAgile
Nice to have (2)
Airflow, dbt, Dagster or PrefectDatabricks, Denodo or Snowflake

“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

What won't set you apart
SQL90%ETL62%Python55%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $153,636 (middle half $98,520–$171,143). 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)

The posting covers two levels simultaneously — 'Principal' (5 years required, $98,400–$147,600) and 'Senior Principal' (8 years required, $122,800–$184,200). The compensation range shown spans both levels. The seniority assessment reflects the lower (Principal) gate of 5 years, which maps to Senior on the standard career ladder; the advertised title 'Principal' is preserved in the advertised seniority field.

The role is hybrid with required onsite presence in Melbourne, FL — it is not fully remote.

An active US Government Secret clearance is a hard gate to apply; the ability to obtain SAP clearances is also required.

A Bachelor's degree in a STEM discipline is the minimum hard requirement; a Master's degree is listed only as preferred.

Orchestration tools (Airflow, dbt, Dagster, Prefect) and data platform experience (Databricks, Denodo, Snowflake) appear under Preferred Qualifications only.

The SOC classification is Medium confidence: the role blends data/analytics engineering (pipeline building, ETL, data modeling — 15-1243) with BI/visualization work (Tableau dashboards, KPI scorecards — 15-2031). The primary day-to-day emphasis on designing and building data pipelines and data models tips the classification toward 15-1243.

Requires a Secret clearance — the cleared population is a small fraction of this occupation, so the real candidate pool is materially smaller than the estimate below, which does not model clearance.

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