Data Management Developer, Mid

Planet Technologies, the Nation’s leading Microsoft services provider to the public sector, is looking for a highly motivated individual to join our growing team as a Data Management Developer
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In this role, you will build, maintain, and improve products primarily in the Power Platform suite, facilitating comprehensive end‑to‑end data collection, transforming raw data into actionable business insights through statistical analysis, KPI development, Power BI dashboarding, proven machine learning methods, and reducing or eliminating manual effort in data processing by automating common processes. The position requires the ability to work on site in Washington DC five days a week.

• Builds, maintains, and improves products, primarily in the Power Platform suite, facilitating comprehensive end‑to‑end data collection, transforming raw data into actionable business insights, KPI development, Power BI dashboarding, proven machine learning methods, and reducing or eliminating manual effort in data processing.
• Proposes, implements, and leverages AI and ML solutions to advance business intelligence capabilities.
• Develops analysis, query, aggregation, visualization, Extract/Transform/Load, complex statements, scripts, stored procedures, triggers, and implements business intelligence and data warehousing solutions.
• Works on data collection for regular and ad‑hoc data calls for internal and external customers, develops and enhances service request portals, dashboards, and visualizations integrating business data from SharePoint, applications, files, and internal and external data sources, creating and maintaining Power Automations supporting multiple business processes, integration of AI/ML into BI reporting, cleansing, and curation of business intelligence datasets, re‑development of a quantitative cybersecurity risk assessment tool, and development of additional quantitative risk assessment tools.
• Builds, maintains, and improves dashboards, applications, and automations within Power Platform (Power BI, Power Automate, Power Apps), SharePoint, and Info Path environments to reduce or eliminate manual effort in data processing by automating common processes.
• Connects and leverages application programming interfaces (APIs), system‑to‑system connections, and manual transfer of data as part of business intelligence extract, transform, and load (ETL).
• Builds predictive risk models backed by statistical analysis and supports data‑driven solutions.
• Identifies and applies uses of AI and ML to extract key insights from unstructured system documentation for analysis, automating processes, and integrating with other applications.
• Develops and carries out full‑service data calls, including creation of collection applications and forms, data normalization, data cleansing, and visualization.
• Creates insightful and impactful business intelligence analysis and visualizations to be consumed by senior management, IT system owners, and Division and Field Office leaders.
• Develops and improves methodologies and tools to assess cybersecurity, financial, and strategic risk at the information system, division, branch, and enterprise level.
• Researches and recommends business data storage and data integration solutions specific to the environment.
• Develops user guides and documentation for business intelligence products.

• Minimum of 5 years’ experience supporting projects of similar size and scope.
• Strong proficiency with the Power Platform, SharePoint, and Info Path tool suite required.
• Power BI including dashboarding.
• Power Automate.
• Power Apps.
• Experience with API’s and ETL processes.
• Familiarity with Oracle, SQL Server, Cognos, Tableau, and other data science and business intelligence tools required.
• Experience connecting to and extracting/manipulating data from multiple systems.
• Ability to hold and maintain a Top Secret Clearance.
• Willingness to work on site in Washington DC five days a week.
• In absence of years of experience, certifications or past work may be used to demonstrate required level of experience.
• Strongly preferred:
  Asset Management System (AMS), Big Fix, Enterprise Process Automation System (EPAS),…