Data Engineer

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: • Support and help complete the migration of legacy MS SQL scripts/processes into Databricks • Build and maintain dbt models as part of the new Databricks-based data architecture • Support Data List pulls for audience segmentation during year-end peak volume • Partner with the existing team of 2 data engineers already embedded in the migration • Review and validate migrated processes/scripts in collaboration with vendors • Help Client the groundwork for a new segmentation tool (currently in procurement/early implementation) • 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 (mid-level; we do not need 15 years of 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: • Prior experience in nonprofit (NFP) organizations, particularly supporting audience management, donor journeys, or fundraising data • 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.