Associate Data Engineer at Vytalize Health
KS
—
Jul 14, 2026
KS
Jul 21, 2026
What this job asks for AI summary
An entry-level data engineering position focused on keeping healthcare data pipelines healthy and reliable. Day-to-day work centers on resolving support tickets, monitoring pipeline health, profiling and documenting data sources, writing SQL to validate transformations, and investigating data quality issues — with senior engineers providing mentorship. Well-suited to someone early in their data engineering career or moving into it from an adjacent field.
Junior level · Remote · Full-time
“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
Roughly 4,700 people nationally plausibly meet what this posting asks for (database architects). range 2,850–7,100
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
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).
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 titled 'Associate Data Engineer', which maps to a Junior level both in title and in the scope described (mentored, early-career, KTLO and support tasks).
The degree requirement lists 'Bachelor's degree … or equivalent hands-on experience', so no formal degree is hard-gated.
Python is listed in Required Qualifications alongside 'or another programming language'; Python is used as the primary name with no alternatives listed because no specific substitute is named.
SOC confidence is Medium: the role spans ETL/pipeline work (15-1243 Database Architects) and significant data quality/analytics investigation work (15-2031), but pipeline building and data engineering practices are the primary framing.
All 'Strong Pluses' items — including healthcare data formats (FHIR, HL7, CCD), cloud platforms, dbt, Airflow, Databricks, and Spark — appear under a clearly secondary 'Strong Pluses' heading and are treated as preferred.
FHIR, HL7, and CCD are listed together as interchangeable clinical data format experience; FHIR is used as the primary name with HL7 and CCD as alternatives.
AWS, Databricks, and Snowflake are listed together as interchangeable cloud/data platform experience; AWS is used as the primary name with the others as alternatives. Databricks is also listed separately as a standalone preferred skill given its additional mention in the role narrative and 'Strong Pluses'.
No compensation range is stated in the posting.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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