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Bloomerang

Senior Data Engineer

Bloomerang

Sr. Data Engineer at Bloomerang building production data pipelines for the Giving Platform.

Posted 7/17/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $108,400 - $180,700 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing production data pipelines using Databricks and Data Vault 2.0 modeling patterns, with a strong focus on data integrity and real-time processing. Proficient in SQL and Python, with experience in entity resolution and operational monitoring of data pipelines.

Highest-signal resume keywords
Databricks Production Pipeline DevelopmentData Vault 2.0 ModelingEntity Resolution and Master Data ManagementStrong SQL and Python ProficiencyChange Data Capture (CDC) Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DevelopmentSQLPythonData Vault 2.0Entity ResolutionETLMonitoring and AlertingError HandlingStreaming Data ProcessingPySpark
Tools & Technologies
DatabricksUnity CatalogAI ToolsChange Data Capture
Industry Keywords
Medallion ArchitectureDonor Lifetime ValueCampaign ROIData IntegrityRobust Error Handling

Tech Stack

Tools & technologies
ETLPySparkPythonScalaSQLUnityVault

About the role

Key responsibilities & impact
  • Design and ship production pipelines on Databricks, using a medallion architecture grounded in Data Vault 2.0 modeling patterns.
  • Build and harden the curated and presentation layers—driving donor lifetime value, retention, lapse risk, and campaign ROI.
  • Resolve identity across products to compute values on one trustworthy record.
  • Move toward near-real-time data and partner with architects on Change Data Capture.
  • Extend existing tracing and AI lifecycle tooling into ETL.
  • Partner with AI and product engineers to ensure data is properly shaped for applications.
  • Use AI tools in daily development tasks.
  • Raise the bar on engineering standards, addressing testing, idempotency, documentation, and security.

Requirements

What you’ll need
  • 5+ years building production data pipelines on a modern lakehouse or warehouse with Databricks w/ Unity Catalog strongly preferred.
  • Experience matching and merging records across systems—entity resolution, dedupe/merge, or master-data "golden record" work.
  • Strong SQL and strong Python (or Scala). Comfort with PySpark is a plus.
  • Working knowledge of dimensional and/or Data Vault 2.0 patterns.
  • Real experience operating pipelines in production—monitoring, alerting, and robust error handling.
  • Exposure to streaming and CDC.

Benefits

Comp & perks
  • You’ll have access to generous health, vision, and dental insurance options as well as HealthiestYou, a healthcare service that offers convenient, confidential access to quality doctors 24/7, anytime, anywhere.
  • You'll get a competitive PTO package that includes 20 PTO days, 3 flex days, 4 optional volunteer days, 12 paid holidays, as well as paid parental leave. More is more!
  • You'll receive a 401k match to help invest in your future.
  • Everything you need to be successful, shipped right to your door. You got this. We got you.