Data Engineer, Analyst

Role Overview

• 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. Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.
• Integrate heterogeneous humanitarian data sources.
• Implement data quality, validation, and monitoring processes to ensure accuracy, reliability, and transparency.
• Maintain an awareness of trends and developments in database maintenance.
• Maintain documentation, metadata, and data governance standards in alignment with state department policies.
• Occasionally, respond quickly to data needs for responses to rapid onset disasters or urgent decision-making requests.
• 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.
• Support predictive analytics or light machine-learning workflows where appropriate.
• Communicate analytical findings clearly to technical and non-technical audiences.
• Serve as a subject-matter resource for data best practices, including how to access, interpret, and apply available datasets.
• Work closely with the team business analyst and HA decision makers to understand their data needs and translate them into analytical or technical solutions.
• Provide training, informal guidance, and practical tools to staff who rely on data for decision-making.
• Demonstrate flexibility by taking on adjacent responsibilities as needed in a small, fast moving team environment to ensure project goals are met.
• Engage in continuous learning about the humanitarian sector.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field
• Hands-on experience in both: o Data engineering (pipelines, ETL/ELT, SQL, cloud tools) o 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.

Tech Stack

• AWS
• Cloud
• ETL
• Python
• SQL

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development opportunities