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
• 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.