Analytics Engineer

• Support the U.S. Customs and Border Protection’s Power Platform team by developing, maintaining, and enhancing Power BI dashboards
• Improve the structure of Excel, SharePoint, and SQL databases that feed into the Power BI dashboards
• Create ETL processes to facilitate the movement of data from legacy databases to modernized databases
• Engage with 10,000+ users annually with the team’s current Power Platform solutions

Data Analytics Developer

• 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.

Data Engineer, Analyst

• Lead end-to-end delivery of complex pipelines and integrations
• Provide advanced platform support across ingestion, transformation, orchestration, monitoring, and warehouse operations
• Design and maintain dbt models that transform raw data into curated datasets
• Establish and promote engineering standards for pipeline development
• Own pipeline reliability end-to-end
• Improve platform performance and cost efficiency
• Implement secure-by-design practices across the platform
• Partner with data governance and analytics teams to enhance data quality

Senior Data Engineer, Analytics

• Designs, develops, and maintains complex, Python‑based analytical applications that support decision‑making, reporting, and long‑term enterprise planning
• Leads the development of scalable architecture, modular codebases, and maintainable application components
• Implements secure software engineering practices, version control, testing frameworks, and code review processes to ensure high reliability, usability, and long‑term sustainability
• Serves as the primary software engineer for enterprise tools such as the Enterprise Capacity Analysis (ECA) application and related analytical platforms
• Builds and maintains data ingestion, transformation, validation, and integration pipelines that support analytical applications
• Develops and optimizes SQL queries, relational database schemas, and data access patterns to support performance‑critical workloads
• Ensures data structures and workflows align with evolving analytical and programmatic requirements across the nuclear security enterprise
• Develops user‑facing analytical interfaces, dashboards, visualizations, and interactive tools that help analysts and leadership understand complex datasets, review model outputs, assess scenarios, and generate insights
• Designs intuitive interfaces using Python‑based frameworks and visualization libraries to translate analysis into actionable information for decision‑makers
• Ensures application usability, accessibility, and responsiveness
• Supports program planning, evaluation, and performance tracking by conducting cost, schedule, and risk analyses
• Collaborates with various NNSA offices (NA-11, NA-15, NA-18, NA-19) and stakeholders across the nuclear security enterprise to develop standardized analytical workflows and support future analysis needs
• Prepares program cost and budget documentation over several budget fiscal years, including the development of complex spreadsheets, development of program planning and budget briefings, and draft preparation of work authorizations and approved funding program documentation
• Provides program management support in the preparation, coordination, evaluation, review and analysis of program execution plans and tracking, monitoring, and reporting of program-specific milestones and updates of annual performance measures

Analytics Engineer jobs in District of Columbia

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Data Analytics Developer

Data Engineer, Analyst

Senior Data Engineer, Analytics

Software Engineer, Analytics