Enterprise Data Engineer at Avera
Sioux Falls, SD
$73,840–$111,800from the description
Jul 22, 2026
Sioux Falls, SD
Jul 24, 2026
What this job asks for AI summary
A mid-level data engineering role within a healthcare organization, focused on building and maintaining data warehouses, data lakes, and ETL pipelines that move information from source systems into storage platforms for analysis and reporting. The work involves data quality checks, pipeline monitoring, and documentation, in close collaboration with data scientists, analysts, and business stakeholders. Suits candidates with SQL and Python experience and some exposure to tools like PySpark, SSIS, or Azure Data Factory.
Mid level · 2+ years · Sioux Falls, SD · 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 1 people in SD plausibly meet what this posting asks for (database administrators). range 1–3
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 $86,593 (middle half $75,934–$100,860). 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 (6)
The role is titled simply 'Data Engineer' with no level modifier; advertised seniority is Unspecified. The 2–3 years of experience requirement and the 'under the guidance of senior engineers' framing support a Mid-level classification.
The Bachelor's degree requirement explicitly accepts 'an equivalent combination of education and work experience,' so it is not a hard degree gate.
PySpark, SSIS, Azure Data Factory, and Databricks (AWS/Azure/GCP) are listed in the Required section under 'Exposure to data processing tools and frameworks,' using 'etc.' as an open-ended list. They are treated as required given their placement in the Required qualifications block, though the 'exposure to' phrasing suggests a lower bar than deep expertise.
AWS is listed alongside Azure and GCP as interchangeable cloud platform options within the Databricks/cloud familiarity requirement; Azure and GCP are captured as alternatives.
Epic EHR experience appears only under Preferred qualifications and is marked accordingly.
SOC code 15-1243 (Database Architects) is chosen for its emphasis on data warehouse/data lake design and ETL pipeline development; 15-1252 (Software Developers) is a plausible alternative given the pipeline-building and coding focus.
Read the full posting
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