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Guidehouse

Advises agencies and runs regulated operations

Financial Management Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Must be able to obtain and maintain a Federal or Department of Defense Public Trust.
  • A bachelor's degree is required.
  • Three or more years of data experience are required.
  • Experience performing data analytics to address management and operational challenges is required.
  • Proficiency in data analytics tools such as SQL, Python, R, and Databricks is required.
  • Proficiency in Microsoft Office, especially PowerPoint, Word, and Excel, is required.
  • Prior experience with statistical analysis, predictive modeling, machine learning, and artificial intelligence is required.

Responsibilities

  • Collect, transform, integrate, and analyze data in support of organizational and mission goals, and support decision-making for financial management and information technology programs within the Department of Homeland Security Financial Management portfolio.
  • Access data sources, establish data connections, and develop data ingestion and integration solutions using APIs, databases, file-based interfaces, and enterprise platforms to support data acquisition and preprocessing for analysis.
  • Aggregate, clean, and organize datasets from disparate sources, and perform quality assurance of these tasks.
  • Design and implement data integration, mapping, and standardization frameworks, including configurable business rules and data crosswalks, to enable interoperability, reconciliation, and reporting across disparate financial and operational systems.
  • Manipulate large datasets, perform data mining, and structure raw data using open-source tools such as SQL, Python, and PySpark to formulate or recognize patterns and generate insights that support organizational decision-making.
  • Design data modeling processes, create algorithms and predictive models, and perform ad hoc and exploratory data analysis to support data-driven decision-making, including advanced analytics techniques such as predictive modeling and machine learning.
  • Ensure data governance and quality assurance standards are met.
  • Help define data quality metrics associated with the quality of data ingested into Databricks.
  • Organize and lead client meetings, including scheduling meetings; drafting and delivering agendas and meeting minutes; providing and archiving required documentation; and documenting, tracking, and following up on action items.
  • Deliver client services while supporting business development, internal firm initiatives, and ongoing professional development.

Desired Qualifications

  • An active Public Trust or suitability is preferred.
  • Ability to collaborate and work in a team environment, as well as work independently.
  • Ability to identify and address client needs, build client relationships, demonstrate flexibility in prioritizing and completing tasks, and communicate potential conflicts to a supervisor.
  • Ability to communicate effectively with various audiences, including different levels of management and external clients, in a professional environment.
  • Ability to facilitate meetings and present topics to diverse groups of functional and technical staff.
  • Experience in commercial or public-sector consulting firms.
  • Prior experience supporting federal finance organizations.
  • Experience with cloud-based platforms and services, including Microsoft Azure, AWS, or similar cloud environments.
  • Experience with Microsoft Power Platform, including Power BI, Power Apps, and Power Automate, and SharePoint.

About the Company

Guidehouse

Advises agencies and runs regulated operations

Guidehouse advises government agencies and companies in regulated industries on strategy, technology and day-to-day operations. Its work combines business advice with software implementation and ongoing management, so a client uses the same firm to plan a change, build the systems and run the resulting processes. Teams modernize cloud platforms, apply data analysis and artificial intelligence, and redesign organizations to meet operating and regulatory requirements. Clients pay for consulting projects and technology work or outsource continuing business functions to its managed services teams. Guidehouse was founded in 2018 and is headquartered in McLean, Virginia.

Company size
10,001+
Company stage
Acquired
Total funding
$750K
Headquarters
McLean, VA
Founded
2018

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