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Senior Data Engineer
BloomerangSr. Data Engineer at Bloomerang building production data pipelines for the Giving Platform.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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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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 & technologiesETLPySparkPythonScalaSQLUnityVault
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.