We are looking for an experienced Sr. Grant Accountant to support grant-funded financial operations for a major public-sector program in Maryland. This contract-to-permanent opportunity is ideal for a finance specialist who can balance budgeting, compliance, reporting, and contract administration in a government-supported environment. The role focuses heavily on the financial stewardship of grant activity, with close attention to regulatory standards, subrecipient monitoring, and operational accuracy.<br><br>Responsibilities:<br>• Oversee the financial management of federal and state grant activity, ensuring spending, documentation, and reporting align with applicable regulations.<br>• Apply grant compliance standards, including Uniform Guidance, to evaluate transactions and provide sound recommendations on allowable use of funds.<br>• Monitor budgets, track expenditures, and support cost-sharing or matching requirements tied to funded programs.<br>• Prepare financial materials and supporting documentation for formal approvals, including items presented to governing oversight bodies.<br>• Participate in board-related meetings and develop clear financial reports to support decision-making and accountability.<br>• Serve as a financial partner for purchasing processes by reviewing purchase requests, supporting purchase order activity, and helping resolve funding or fiscal-year discrepancies.<br>• Provide oversight and guidance to subrecipients and external partners, especially organizations that need additional support with financial administration.<br>• Coordinate periodic and time-sensitive funding activities, including advance planning for major program payment cycles.<br>• Produce recurring financial reports and help strengthen monthly reporting processes to improve visibility into grant performance.
We are looking for an experienced Power BI Developer to join our team in Bethesda, Maryland. This role focuses on creating data-driven insights and designing intuitive dashboards to improve decision-making processes. The ideal candidate will have a strong technical background and an eye for design, ensuring that analytics solutions are both functional and user-friendly.<br><br>Responsibilities:<br>• Build and optimize Power BI dashboards and reports to support data-driven decision-making.<br>• Develop and maintain Python scripts to clean, transform, and reshape datasets for analysis.<br>• Utilize Microsoft Fabric or Azure Data tools to manage and analyze data within cloud environments.<br>• Write and refine queries to efficiently extract data from cloud-based systems.<br>• Apply design principles, including layout and color theory, to create visually appealing and user-friendly dashboards.<br>• Conduct fraud analysis using data analytics tools to identify and mitigate suspicious activities.<br>• Collaborate with stakeholders to gather requirements and deliver tailored data solutions.<br>• Ensure data integrity through validation processes and thorough analysis.<br>• Investigate potential fraud cases by leveraging analytics and reporting tools.<br>• Support ongoing improvements to data workflows and analytics frameworks.
We are looking for a Senior Data Analytics Engineer to help shape and scale modern data capabilities for a real estate and property organization in Reston, Virginia. This role focuses on designing reliable data pipelines, structuring analytical datasets, and enabling high-quality reporting and advanced insights across the business. The ideal candidate brings strong engineering depth, practical analytics expertise, and the ability to turn business needs into well-architected data solutions.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that ingest, transform, and deliver trusted datasets for analytics and operational use.<br>• Develop curated data layers using medallion-style architecture to improve data quality, accessibility, and consistency across the platform.<br>• Create and optimize dimensional models, including fact and dimension structures, to support reporting, trend analysis, and business intelligence needs.<br>• Use Python, PySpark, SparkSQL, and notebook-based development environments to engineer efficient data processing workflows.<br>• Partner with business and technical stakeholders to gather requirements and translate them into practical data products and analytics solutions.<br>• Apply data governance, security, and enterprise data management standards to protect information and support compliant data usage.<br>• Contribute to collaborative development practices through version control, code review, and shared engineering standards using Git.<br>• Support advanced analytics initiatives by preparing data foundations that can be used for machine learning and AI-driven use cases.