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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Financial Management Data Engineer - **Company:** Guidehouse Inc. - **Location:** Tysons, VA, United States - **Experience:** Expert - **Salary:** $113,000.0 - $188,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Word, Microsoft Excel, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, Databases, Data Governance, Data Integration, Data Mining, Decision Support Systems, R (Programming Language), Python (Programming Language), Machine Learning, Microsoft Office, Microsoft PowerPoint, Raw Data, Power BI, Microsoft SharePoint, SQL Databases, Cloud Platform System, Data Ingestion, Microsoft Power Automate, Pyspark, Information Technology, Data Analytics, Operational Systems, Powerapps, Databricks - **Published:** August 22, 2026 - **Apply:** https://www.careerjet.com/job/us6ad2c6b0ebf15066864d3b39ae16fbb9/eaa ## About the Role Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred. Bachelor's degree THREE (3) or more years of data experience Experience in performing data analytics to address management and operational challenges Proficiency in data analytic tools such as SQL, Python, R, and Databricks Proficiency in Microsoft Suite, especially MS PowerPoint, MS Word, and MS Excel Prior experience with statistical analysis, predictive modelling, machine learning, and artificial intelligence What Would Be Nice To Have: Collaborating and working in a team environment, as well as the ability to work independently Identifying and addressing client needs, building relationships with clients, demonstrating flexibility in prioritizing and completing tasks, communicating potential conflicts to a supervisor Communicating effectively to various audiences, including various 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 MicrosoftAzure, AWS, or similar cloud environments Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) and SharePoint ## Description Guidehouse is seeking a Data Engineer to join our Defense and Security Segment, where the individual will 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 (DHS). Responsibilities include, but are not limited to: Accessing data sources, establishing data connections, and developing data ingestion and integration solutions using APIs, databases, file-based interfaces, and enterprise platforms to support data acquisition and pre-processing 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 Manipulating large data sets, data mining, and structuring of raw data using open sources tools such as SQL, Python, and PySpark to formulate or recognize patterns to generate new information and unlock information and insights that help the organization drive decision making Designing data modeling processes, creating algorithms and predictive models, and performing ad hoc/exploratory data analysis to support data-driven decision making, including use of advanced analytics techniques such as predictive modeling and machine learning Ensuring data governance and quality assurance standards are met Help define data quality metrics associated with the quality of data ingested into Databricks Organizing and leading 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 Delivery of client services, while also supporting business development, internal firm initiatives, and ongoing professional development, All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Beyond Gut Feelings: The Rise of Data-Driven HR](https://www.wearedevelopers.com/videos/1326-beyond-gut-feelings-the-rise-of-data-driven-hr) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)