Senior Data Engineer – Databricks
Devdort
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Jul 22, 2026
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Jul 24, 2026
What this job asks for AI summary
A senior-level data engineering role centered on building and maintaining scalable pipelines within the Databricks ecosystem, including Delta Lake, Unity Catalog, and cloud platforms (Azure preferred). Day-to-day work spans ETL/ELT pipeline development, streaming ingestion, performance tuning, and client-facing technical collaboration. Suits an experienced engineer comfortable working independently in a remote, consulting-style environment across multiple client engagements.
Senior level · 5+ years · Remote · Contract
“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 95 people nationally plausibly meet what this posting asks for (database architects). range 60–140
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 $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 (7)
The posting is listed as both 'Contract or Permanent' with a stated 6-month contract duration; employment type is set to Contract as that is the primary framing of the opportunity.
The 5–9+ years range is the stated overall experience requirement; the overall years minimum is set to 5 (the lower bound). The posting notes candidates with 9+ years may also be considered.
Azure is listed as 'strongly preferred' within the Required Qualifications section alongside AWS and GCP as acceptable alternatives; it is treated as a hard gate on cloud platform experience with Azure as the preferred option.
Auto Loader and Structured Streaming appear in the Key Responsibilities section rather than a formal qualifications block; they are marked preferred accordingly.
Databricks Certified Data Engineer certification, Lakeflow Declarative Pipelines, Lakeflow Connect, Databricks SQL, MLflow, AI/BI Genie, and the orchestration/ingestion tools (Airflow, Fivetran, Kafka, Azure Data Factory) all appear under the explicit 'Preferred Qualifications' section.
SOC confidence is Medium: the role is primarily a data pipeline/lakehouse architect (15-1243) but has significant software development characteristics (writing production code, CI/CD, testing) that could support 15-1252.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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