Mid-Level Data Visualization Engineer

DMI•Washington, DC

4d•Onsite

About The Position

DMI, LLC is seeking a Data Visualization Engineer - Mid-Level to join us. The Mid-Level Data Visualization Engineer transforms raw data into clear, actionable visual products that support NTSB's safety investigations and executive decision-making. This role designs and delivers dashboards, infographics, and interactive reports using Microsoft Power BI, Fabric, and Power Platform tools, serving program offices across Aviation Safety, Highway Safety, Marine Safety, and Rail safety.

Requirements

Bachelor's degree (B.A. or B.S.) or Master's degree (M.A. or M.S.) in Data Analytics, Information Systems, Computer Science, or a related field
3 to 10 years of experience in a data visualization, business intelligence, or data analytics role
Proficiency in Microsoft Power BI, including report building, data modeling, and DAX
Working experience with Power Apps and Power Automate
Familiarity with Microsoft Fabric, Databricks, or Azure Blob Storage as data sources
Experience with Azure AI-driven analytics and integration with Power BI
Background in federal government reporting or safety-focused analytics
Microsoft Power BI Data Analyst certification or equivalent
Experience presenting data products to executive or non-technical audiences
Must possess or be eligible to obtain and complete a Public Trust background investigation and/or a Public Trust clearance.
Must be a U.S. Citizen

Nice To Haves

Degree Substitution: Eight additional years of relevant experience beyond the minimum may substitute for the required degree. Six additional years combined with a qualifying certification may also substitute.

Responsibilities

Design, build, and maintain Power BI dashboards and reports that aggregate data from NTSB's enterprise systems including Microsoft Fabric and Azure Blob Storage
Identify, examine, and process raw data, trends, and analytical outputs to create clear infographics and visual summaries for varied audiences
Build low-code applications and automated workflows using Microsoft Power Apps and Power Automate to streamline data collection and reporting
Connect to and transform data from Databricks, Microsoft Fabric, Azure Blob Storage, and SQL-based data sources
Collaborate with data scientists and data engineers to translate model outputs and pipeline results into stakeholder-ready visual products
Maintain and improve existing Power BI reports and data models, including refresh schedules and row-level security
Present findings and visual deliverables to non-technical program office stakeholder