Sr. Data Engineer
Bloomerang
$108,400–$180,700from the description
Jul 16, 2026
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Jul 21, 2026
What this job asks for AI summary
A senior hands-on data engineering role focused on building and maintaining a Databricks lakehouse that consolidates CRM, fundraising, and volunteer data into a unified, well-modeled source of truth. Day-to-day work spans designing medallion-architecture pipelines, cross-product identity resolution, near-real-time CDC integration, and data observability — all feeding BI dashboards, in-product reporting, and ML/AI systems. Suits engineers with 5+ years of production pipeline experience who already incorporate AI coding tools into their workflow.
Senior level · 5+ years · Remote · 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 1,050 people nationally plausibly meet what this posting asks for (database architects). range 220–1,900
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 $142,568 (middle half $111,775–$173,013). 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 (11)
SOC confidence is Medium: the role is primarily a data pipeline/lakehouse builder (15-1243 Database Architects) but the emphasis on shipping production software, CI/CD, code review, and SemVer gives it meaningful overlap with 15-1252 Software Developers.
The 5+ years requirement is stated at the role level ('5+ years building production data pipelines on a modern lakehouse or warehouse') and is captured as the overall years minimum.
Databricks is strongly preferred but the JD explicitly accepts Snowflake or BigQuery as equivalents — these are listed as alternatives. Unity Catalog is listed separately as a nice-to-have nuance within the Databricks preference.
Claude Code / Cursor (or similar AI development environments) are framed as a daily-use hard expectation in the requirements section ('you already use… as a daily part of how you build'), so this is treated as a hard gate with Cursor as the named alternative.
Debezium on Kafka/MSK is described as a near-real-time partnership goal; CDC exposure is explicitly required ('you should know what's hard about moving from batch to near-real-time'), so CDC, Debezium, and Kafka are treated as hard gates.
dbt, AWS (S3/IAM/networking), Honeycomb/OpenTelemetry, MLflow, multi-tenant SaaS experience, and nonprofit/CRM domain background all appear under the explicit 'Nice to Haves But Not Required' section.
PySpark is called out as 'a plus' within the requirements section, so it is treated as preferred.
The compensation range ($108,400–$180,700/year) covers both US and select Canadian provinces; the posting does not specify a separate Canadian figure, so USD is used as stated.
No degree requirement is stated anywhere in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): medallion architecture.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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