Senior Data Engineer

🕒 2 days ago

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Bloomerang

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

💼 Consulting

📣 Marketing

🤝 Non-profit

💰 $33M Debt Financing on 2021-02

Consulting • Marketing • Non-profit

Bloomerang is a community-focused nonprofit donor management software designed to deliver a better giving experience and help organizations thrive. It offers a comprehensive platform tailored for nonprofits, including features such as donor database management, marketing and engagement tools, reporting and analytics solutions, and volunteer and membership management systems. Bloomerang aims to enhance donor retention and increase fundraising efficacy by equipping nonprofits with the tools they need to nurture relationships and drive donations. Trusted by over 23,000 organizations, Bloomerang helps nonprofits raise more funds and create lasting change through streamlined operations and an intuitive user experience.

📋 Description

• 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— the unified domain model and the product- and reporting-facing views. • Resolve identity across products. Build and harden the matching that ties a single supporter together across CRM, Fundraising, and Volunteer. • Move us toward near-real-time data. Partner with our architects on Change Data Capture so customers see donor activity sooner. • Integrate trusted external partners through clean, secure, observable pipelines. • Extend our existing tracing and AI lifecycle tooling into ETL, so we catch tenant-level failures before customers do. • Partner with AI and product engineers to ensure the right data is in the right shape at the right time for Penny and the products that depend on her. • Use AI tools for pipeline development, schema design, code review, and problem-solving. We expect this to fundamentally change how you build. • Raise the bar on engineering standards—testing, idempotency, documentation, security, and the boring rigor that keeps data trustworthy at scale.

🎯 Requirements

• 5+ years building production data pipelines on a modern lakehouse or warehouse. Databricks w/ Unity Catalog strongly preferred; we'll consider Snowflake, BigQuery, or equivalent if your relevant data engineering skills travel. • Experience matching and merging records across systems—entity resolution, dedupe/merge, or master-data "golden record" work—especially where there's no shared key to join on. • Strong SQL and strong Python (or Scala). Comfort with PySpark is a plus. • Working knowledge of dimensional and/or Data Vault 2.0 patterns. You can defend a schema decision and explain the trade-offs. • Real experience operating pipelines in production—monitoring, alerting, and robust error handling. • You don't have to have led data builds, but you should know what's hard about moving from batch to near-real-time. • You already use Claude Code, Cursor, or similar AI development environments as a daily part of how you build. You can speak to where they accelerate your work and where they don't. • Quality-first instincts: you don't just write pipelines, you own outcomes. You build observability and testing within from day one. • A track record of working well with data scientists, ML engineers, or applied-AI teams. We have a Penny to feed. • You take security and data residency seriously.

🏖️ Benefits

• 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.