Data Engineer

About the Role

Key Responsibilities

• Engineering end-to-end data solutions using SharePoint Online, Power BI, Power Automate, Dataverse, and Power Apps, integrating multiple data sources to generate real-time dashboards, KPIs, and business insights.
• Building data models and implementing data transformation logic using Power Query, DAX, and SQL to support advanced analytics and operational reporting.
• Designing and developing analytical tools and predictive models to identify trends, forecast outcomes, and provide strategic insights to leadership.
• Applying data science techniques such as regression analysis, clustering, classification, and natural language processing (NLP) to large structured and unstructured datasets.
• Utilizing APIs, data connectors, and custom scripts to automate data extraction, cleaning, and transformation processes from SharePoint lists, databases, and external systems.
• Leading the development of intuitive, visual reports and self-service dashboards in Power BI, enhancing decision-making across the organization.
• Serving as a technical resource for data governance, metadata strategies, data quality controls, and compliance within the Navy's Microsoft 365 secure environments.
• Collaborating with stakeholders to understand analytical needs, develop prototypes, and iterate solutions aligned with organizational KPIs and performance indicators.
• Supporting contract reporting obligations by synthesizing and presenting operational and performance metrics in clear, actionable formats to NIPO leadership.

Requirements

• U.S. Citizen with an active DOD Secret security clearance.
• Bachelor's degree in Computer Science, Data Analytics, Statistics, or related discipline, with a minimum of 8 years of applicable experience, including 5+ years in SharePoint development. Candidates with 10+ years of relevant experience may be considered instead of a degree.
• Strong foundation in data analytics and data science, including experience with data modeling, data mining, statistical computing, and machine learning methods (e.g., LLMs, neural networks, NLP, clustering, and predictive analytics).
• Experience working with large data sets, ETL processes, and data visualization tools such as Power BI, Tableau, or Qlik.
• Expertise in DAX, Power Query (M), SQL, and scripting in Python or R for analytics and automation.
• Familiarity with Azure Synapse, Data Factory, or other cloud-based data integration platforms is a plus.
• Proficient in SharePoint Framework (SPFx), JSON formatting, REST APIs, Graph API, and client-side development technologies (JavaScript, TypeScript, HTML5, CSS).
• Demonstrated ability to apply analytical techniques to real-world operational challenges, with clear documentation and communication of findings.
• Knowledge of metadata strategy, data classification, and Microsoft 365 content management best practices.
• Strong collaboration, stakeholder engagement, and customer service skills, with the ability to translate complex technical concepts for non-technical audiences.
• Prior experience working with the Department of Defense or U.S. Navy is strongly preferred.

Nice to Have

• Familiarity with Azure Synapse, Data Factory, or other cloud-based data integration platforms.

Qualifications

• Bachelor's degree in Computer Science, Data Analytics, Statistics, or related discipline.
• Minimum 8 years of applicable experience, including 5+ years in SharePoint development.
• Candidates with 10+ years of relevant experience may be considered instead of a degree.