Data Engineer, Analyst

Job Description:

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to support humanitarian operational and analytical needs.
• Build and optimize data models, schemas, and cloud-based data architectures to support dashboards, machine learning workflows, and advanced analytics.
• Respond quickly to database problems that arise and carry out periodic maintenance and troubleshooting.
• Explore and analyze complex humanitarian datasets to identify trends, anomalies, risks, and opportunities.
• Produce actionable insights that inform policy, resource allocation, program design, and crisis response.
• Serve as a subject-matter resource for data best practices, including how to access, interpret, and apply available datasets.
• Provide training, informal guidance, and practical tools to staff who rely on data for decision-making.

• Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
• Hands‑on experience in both:
  • Data engineering (pipelines, ETL/ELT, SQL, cloud tools)
  • Data analysis (exploratory analysis, dashboarding, basic data science methods)
• Proficiency with SQL and modern programming/scripting languages (Python preferred).
• Familiarity with cloud platforms (e.g. AWS, Databricks) and common data engineering tools.
• Strong analytical thinking, problem‑solving skills, and intellectual curiosity.
• Ability to explain complex concepts to diverse stakeholders.
• A team player but able to work independently.
• Multi‑tasking and time‑management skills, with the ability to prioritize tasks.
• Excellent interpersonal skills.
• Ability to work well in a diverse team.
• The candidate must be a U.S. citizen to qualify for the required U.S. government security clearance for this project.

• Health insurance
• Opportunities for professional development
• Flexible work arrangements