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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer and Analyst - **Company:** DevTech Systems, Inc. - **Location:** Washington, DC, United States (Remote available) - **Salary:** $110,000.0 - $165,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Basic Data Partition, Cloud Computing, Cloud Database, Information Systems, Computer Programming, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Decision Support Systems, Python (Programming Language), Metadata, Program Design Languages, Software Tools, Standard Sql, SQL Databases, Scripting, Information Technology, Machine Learning Operations, GPT, Data Pipelines, Databricks - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=50ad165719555bed ## About the Role Do you have experience in Reporting and dashboarding tools?, Do you have a Bachelor's degree?, * Bachelor's degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Master's degree or equivalent experience preferred. * Hands-on experience in both: o Data engineering (pipelines, ETL/ELT, SQL, cloud tools) o Data analysis (exploratory analysis, dashboarding, basic data science methods) * Strong proficiency with SQL, including the ability to write and explain queries without reliance on external tools, and experience with 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. Interview Process As part of the interview process, candidates will be asked to complete a SQL exercise and explain their approach while sharing their screen with the interview panel. This exercise is designed to assess foundational SQL knowledge, problem-solving skills, and the ability to communicate technical reasoning. To ensure a fair and consistent evaluation, the use of AI tools (including generative AI assistants such as ChatGPT, Copilot, Claude, Gemini, etc.), internet searches, notes, or assistance from others during this exercise is not permitted. Candidates are expected to complete the exercise independently using only their own knowledge and experience. ## Description Overall, we are seeking a data-savvy professional who can bridge engineering and analysis. This hybrid Data Engineer and Data Analyst role involves building and maintaining data systems, exploring and interpreting complex humanitarian datasets, and empowering colleagues to make informed, evidence-based decisions. The ideal candidate combines technical expertise with intellectual curiosity, strong analytical skills, and a passion for using data to support humanitarian outcomes. Responsibilities are as follows: Data Engineering & Infrastructure (60%) * 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. Data Analysis, Insights, & Decision Support (40%) * 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. Data Leadership, Guidance & Collaboration * 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. General * As needed, may serve on temporary detail within the bureau to meet operational needs during staff shortages. Duties performed while on detail will be aligned with the Team's existing duties and responsibilities and will be directly related to the scope of work provided. * In compliance with the Department of State and contractor policies and procedures, consistently model behaviors that demonstrate a commitment to fostering a non-hostile work environment free of discrimination, bias, unfairness, exclusion, offensive behaviors, and harassment of any kind. * Demonstrate consistent accountability for adherence to and knowledge of laws, executive orders, and Department of State's policies which prohibit Equal Employment Opportunity (EEO) and non-EEO infringements as well as the Agency's zero tolerance for sexual misconduct, including harassment, exploitation, and abuse of any kind. 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