Senior Data Engineer - Databricks
SugarAI · Denver
$155,000–$185,000
Jul 12, 2026
Denver
Jul 21, 2026
What this job asks for AI summary
A senior data engineering role centered on owning and operating Databricks-based data pipelines for a revenue intelligence platform that combines ERP and CRM data. Day-to-day work spans production support, SLA monitoring, Delta Lake architecture, cost optimization, legacy ETL migration, and multi-tenant customer onboarding across Azure and AWS. Suits engineers with deep hands-on Databricks and PySpark experience in production environments.
Senior level · 4+ years · Denver-Aurora-Lakewood, CO · 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 25 people in the Denver-Aurora-Lakewood, CO area plausibly meet what this posting asks for (database architects). range 15–35
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $166,217 (middle half $137,958–$174,055).
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 role is a genuine hybrid between data/pipeline architecture (15-1243) and software development (15-1252) — it owns Delta Lake architecture and schema design (pointing to 15-1243) but also writes and ships production-grade pipeline code in PySpark/Python (pointing to 15-1252). 15-1243 was chosen as primary because the dominant framing is data platform ownership, Delta Lake architecture, and ETL/ELT pipeline design.
Databricks and Apache Spark are listed together as a single 2-year requirement ('at least 2 years on Databricks or the Apache Spark ecosystem'); both are emitted as separate required skills sharing that years figure.
Azure and AWS appear together as a required environment ('across Azure and/or AWS'); Azure is emitted as the primary with AWS as an alternative since both are named.
SSIS and Informatica are listed as examples of legacy ETL tooling under the requirements section ('SSIS, Informatica, custom Python/SQL pipelines, or similar'); emitted as a single required skill with Informatica as an alternative, reflecting that the JD gates on legacy ETL experience generally, not a specific tool.
Microsoft SQL Server, Databricks Feature Store/Feast, and IaC/onboarding automation patterns all appear under the 'Preferred Qualifications/Experience' section.
No compensation figures are stated in the posting.
The role is hybrid (Denver, CO office minimum 2–3 days/week), so remote is set to false.
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