Data Engineer

• Review and support the client’s data policies, processes, and standards to identify strengths and areas for improvement and provide recommendations for the current and future architecture to support data and analytical needs.
• Collect, transform, integrate, and analyze data to identify trends, assess performance, and develop visualizations in support of organizational and mission goals and data-driven decision-making for the client.
• Develop and maintain data governance documentation, tools, and templates.
• Define data requirements and ensure storage, availability, and coherence of electronically stored information meets the client’s needs.
• Develop data pipelines involving collecting, transforming, cleaning, and validating data from multiple sources, using tools such as Palantir.
• Coordinate with non-technical users to gather requirements.
• Identify, summarize, and catalog data fidelity issues, and make recommendations to the client on how to resolve or mitigate the issues.
• Develop intuitive, attractive, and interactive data visualizations using large data sets to create dashboards, using tools such as Tableau and Power BI, for a diverse set of users with varying technical capabilities.
• Request, document, report, and analyze data, and where applicable, create tools and resources to support data and reporting.
• Support hybrid work environments involving work on client site, in a Guidehouse office, and remote.

Data Engineer

Senior Principal Data Architect – Azure

Data Architect

Staff Data Engineer

Data Engineer

Principal Data Engineer – AI Platform