Fractional Data Engineer

District Partners has been engaged by a national non-profit to identify a hands-on Fractional Data Engineer to support ongoing enterprise data initiatives. This role augments an existing data team during a critical period of system rebuilding and automation, with an emphasis on Azure, Python, and AWS. It's a great opportunity for someone who thrives in a collaborative, purpose-driven environment and enjoys solving real-world data challenges.

Key Responsibilities:

• Rebuild and restore Azure SQL data warehouse tables and support ongoing development and optimization of ETL jobs.
• Code, automate, and document workflows involving Azure, AWS, and Python—ensuring processes are efficient, scalable, and thoroughly logged.
• Troubleshoot existing jobs, perform root cause analysis, and support integrations across systems, including Salesforce.
• Contribute to the automation and integration of business systems, leveraging APIs and Webhooks as needed.
• Collaborate with teammates to document, enhance, and support processes in both development and production environments.
• Participate in team meetings to understand data flows and enterprise architecture across Salesforce, BI, and back-end systems.
• Assist with project estimation, data mapping, and general maintenance tasks as assigned.

Qualifications:

• Bachelor's degree in Computer Science or related field (or equivalent experience).
• 4 years of hands-on experience in a similar technical role.
• Strong skills in Python, Azure SQL, and AWS (especially Lambda and containerization).
• Experience working with Salesforce data structure, APIs (REST/SOAP), and integrating with cloud platforms.
• Solid understanding of data modeling, process mapping, and data flows.
• Knowledge of enterprise architecture and ability to support both project and production environments.
• Familiarity with ETL best practices, low-code/no-code environments, and agile collaboration.
• Strong communication, documentation, and independent problem-solving skills.

Culture & Fit:

• Highly collaborative team of four, values mission alignment, communication, and flexibility.
• Prefers local candidates for hybrid work and in-person team engagement.
• Candidates must be proactive, personable, and committed to quality documentation.
• Experience in non-profit or mission-driven environments is a plus.