00100 LEIDOS, INC. · 6314 Teleworker US

Salary
$107,900–$195,050from the description
Posted
Jul 13, 2026
Location
6314 Teleworker US
Last confirmed open
Jul 20, 2026

What this job asks for AI summary

A cloud database engineering role focused on designing and building a production data platform for a Navy sleep and fatigue research lab. The work centers on implementing a medallion architecture (bronze/silver/gold) in Databricks on the Advana IL5 environment, building PySpark ingestion pipelines for wearable and survey data sources, and establishing automated QC checks. The role also involves knowledge transfer, living documentation, and creating a repeatable pattern for onboarding new wearable device vendors. A Secret clearance is required.

Senior level · 8+ years · San Diego-Chula Vista-Carlsbad, CA · Bachelor's required · Secret clearance · Full-time

Must have (6)
DatabricksS3PySparkQlik SenseGitLabAdvana
Nice to have (2)
Oura, Whoop, Garmin or Qualtricsmilitary health research

“or” means any one of them counts — you don't need all of them.

Posted 2 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 won't set you apart
Databricks42%

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

What the occupation pays Median $160,248 (middle half $128,372–$182,487). 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 (10)

The role title is 'Cloud Database Engineer' but the primary day-to-day work is designing and building a medallion data platform (bronze/silver/gold layers, ETL pipelines, schema evolution, data modeling) — squarely in the Database Architects (15-1243) space. However, the heavy pipeline coding in PySpark/Databricks-native tooling also makes Software Developers (15-1252) a credible alternative, hence the medium confidence and runner-up code.

Experience requirement is stated as a range tied to degree level: BS + 8–12 years, or Masters + 6–10 years. The minimum across all paths is 6 years, but the most common gate (BS) is 8 years, so the overall years minimum is set to 8.

Degree requirement: the JD states 'Requires BS degree and 8–12 years … or Masters with 6–10 years … May possess a Doctorate.' A Bachelor's is the minimum hard-required degree; a Master's or Doctorate is accepted in lieu with fewer years.

Security clearance: the JD states 'Must possess or be able to obtain an active Secret Security Clearance' — this is a hard gate on eligibility (US citizenship also required), not merely a preference.

'Familiarity with the Advana ecosystem and Jupiter-managed data ingest frameworks' and 'Prior experience engineering data pipelines' appear under Basic Qualifications and are treated as required. 'Familiarity with' softens the Advana requirement somewhat, but its placement in the required section makes it a gate.

Wearable-device vendors (Oura, Whoop, Garmin) and Qualtrics are listed together as a single preferred qualification ('Prior experience engineering data pipelines specifically for commercial wearable devices … or survey platforms'). They are grouped as alternatives under one preferred skill rather than emitted as separate required skills.

'data pipeline engineering' is listed as a skill to represent the hard-required 'Prior experience engineering data pipelines' from Basic Qualifications — this is a role-level requirement, not a named tool, but it is the clearest gate in the section and is retained as a skill for signal value.

The role is on-site at the Naval Health Research Center in San Diego, CA; no remote option is indicated.

Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data pipeline engineering, medallion architecture.

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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