Data Engineer
New York, NY, 10016
Title: Data Engineer
Location: Remote (EST hours preferred)
Duration: 4 Month Contract (through end of 2026)
Pay Range: $70-80/hour W2
Hours: 40 hours/week (EST)
Benefits: Eligible for Health, Dental, Vision, 401K
Must be authorized to work in the U.S. This position is not eligible for sponsorship.
We're looking for a mid-level Data Engineer to join our team during a critical migration and peak season period. This role supports Audience Management — the systems and data that power how we understand and reach our customers/donors across their full journey (email, SMS, direct mail, phone).
You'll join a migration already in progress, moving our legacy data warehouse (Azure MS SQL) into Databricks, which will become the underlying data source for a new segmentation tool we're implementing. Roughly half of our processes have already been migrated — you'll help complete the remaining work while also supporting day-to-day data list pulls during our year-end peak season.
Job Summary:
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Support and help complete the migration of legacy MS SQL scripts/processes into Databricks
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Build and maintain dbt models as part of the new Databricks-based data architecture
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Support Data List pulls for audience segmentation during year-end peak volume
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Partner with the existing team of 2 data engineers already embedded in the migration
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Review and validate migrated processes/scripts in collaboration with vendors
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Help Client the groundwork for a new segmentation tool (currently in procurement/early implementation)
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Work with data that maps customer/donor journeys — email, SMS, direct mail, and call outreach — to support full 360-degree audience views
Minimum Qualifications:
- 4–7 years of hands-on data engineering experience
- Must have recent experience in the nonprofit industry
- Strong, solid coding skills with real hands-on experience — not just theoretical
- Required: hands-on experience with Databricks, SQL, and dbt
- Experience migrating data warehouses (e.g., legacy SQL environments into Databricks or similar) strongly preferred
- Comfortable working within an existing architecture and picking up work already in progress alongside other engineers
- AI-related certifications or experience a plus (e.g., Databricks Genie)
Preferred Qualifications:
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Prior experience in nonprofit (NFP) organizations, particularly supporting audience management, donor journeys, or fundraising data
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If no direct NFP background, experience supporting customer/donor journey data (understanding not just the mechanics but the purpose behind journeys — how organizations build and maintain relationships with their audience over time) is valuable. This kind of journey-based audience work exists across nearly every industry, so direct NFP experience isn't required.
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