Innovatus Technology Consulting · San Diego, CA

Salary
$130,000–$150,000
Posted
Jul 14, 2026
Location
San Diego, CA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A data engineering and analytics role supporting U.S. Navy modernization efforts at NAVWAR. Day-to-day work spans building and maintaining ETL/ELT pipelines, designing cloud-based data platforms on AWS, developing AI/ML models, and producing dashboards and visualizations for leadership. The role suits candidates with a background spanning data engineering, Python-based machine learning, and SQL, who hold an active Secret clearance.

Mid level · 4+ years · San Diego-Chula Vista-Carlsbad, CA · Secret clearance · Full-time

Must have (14)
ETL/ELTSQLApache SparkAWSDelta LakePythonScikit-LearnTensorFlowMLflowPandasLLMsRAGFlask or DjangoGit
Nice to have (6)
Tableau or QlikDatabricksJupyter NotebooksAzure Data StudioPalantir FoundryCompTIA Security+

“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

What gives you an edge
Delta Lake5%MLflow8%RAG8%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python88%SQL72%Pandas72%Scikit-Learn58%

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

What the occupation pays Median $133,871 (middle half $95,474–$167,770).

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 (9)

The role is a genuine hybrid between data engineering (ETL, Delta Lake, Spark, AWS) and data science/AI-ML (Scikit-Learn, TensorFlow, LLMs, RAG). SOC 15-1243 (Database Architects) was chosen because pipeline and data platform design is the primary framing; 15-2051 (Data Scientists) is a close runner-up given the substantial ML/AI scope.

Degree requirement is effectively None: the JD explicitly accepts 4+ years of relevant professional experience in lieu of a Bachelor's degree.

The 4-year experience figure comes from the 'in lieu of degree' clause, not a standalone role-level requirement — it is the floor implied by the degree-or-experience gate, so the overall years minimum is set to 4.

Flask and Django are listed as interchangeable alternatives ('Flask or Django') in the required skills section, so they are captured as one skill with Django as an alternative.

Tableau and Qlik appear only under Preferred Qualifications, so they are marked preferred. The required skills section mentions 'Dashboard and data visualization development' generically but names no specific tool as a hard gate.

CompTIA Security+ / DoD 8570 IAT Level II and Palantir Foundry experience are explicitly listed under Preferred Qualifications.

Databricks, Jupyter Notebooks, and Azure Data Studio appear only under Preferred Qualifications ('Familiarity with') and are marked preferred accordingly.

An active Secret clearance is a hard gate; U.S. citizenship is also required. The role is hybrid (1-2 days onsite in San Diego), so remote=false.

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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