Data Engineer, Analyst

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🔥 6 minutes ago

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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DevTech Systems, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 1984

🏛️ Government

💸 Finance

📚 Education

Government • Finance • Education

DevTech Systems, Inc. is an international consulting firm founded in 1984 that delivers data-driven intelligence and technical assistance to governments, multilateral organizations, and private-sector stakeholders. The firm specializes in data solutions, economic and public finance advisory (including sovereign lending and fiscal accountability), monitoring, evaluation, research, and learning (MERL), and skills and workforce development; it manages large USG and international contracts and supports decision-making through advanced analytics, knowledge management, and open-data initiatives across more than 100 countries.

📋 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. 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. • As needed, may serve on temporary detail within the bureau to meet operational needs during staff shortages.

🎯 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.

🏖️ Benefits

• Remote work has been authorized for this position