Senior Financial Management Data Engineer

Requirements:

• Bachelors degree
• At least three years of data experience
• Experience using data analytics to address management and operational challenges
• Proficiency with data analytics tools such as SQL, Python, R, and Databricks
• Proficiency with Microsoft Office, especially PowerPoint, Word, and Excel
• Experience with statistical analysis, predictive modeling, machine learning, and artificial intelligence
• Ability to obtain and maintain Federal or DoD Public Trust clearance, with approved adjudication required before onboarding; candidates with active Public Trust or suitability are preferred
• Ability to collaborate effectively on a team and work independently
• Skill in identifying and addressing client needs, building client relationships, prioritizing tasks flexibly, and communicating potential conflicts to a supervisor
• Strong professional communication skills for audiences at different management levels and external clients
• Ability to facilitate meetings and present topics to diverse functional and technical groups
• Experience in commercial or public-sector consulting is desirable
• Experience supporting federal finance organizations is desirable
• Experience with cloud platforms and services such as Microsoft Azure, AWS, or similar environments is desirable
• Experience with Microsoft Power Platform tools, including Power BI, Power Apps, and Power Automate, and with SharePoint is desirable

Responsibilities:

• Collect, transform, integrate, and analyze data to support organizational and mission goals, and inform decisions for DHS financial management and information technology programs
• Access data sources and build connections and ingestion and integration solutions using APIs, databases, file-based interfaces, and enterprise platforms to acquire and preprocess data
• Aggregate, clean, organize, and quality-check datasets from disparate sources
• Develop data integration, mapping, and standardization frameworks, including configurable business rules and data crosswalks, to support interoperability, reconciliation, and reporting across financial and operational systems
• Manipulate large datasets, mine and structure raw data, and use tools such as SQL, Python, and PySpark to identify patterns and generate insights for decision-making
• Design data modeling processes and algorithms, develop predictive models, and conduct exploratory and ad hoc analysis, including advanced analytics, machine learning, and predictive modeling
• Ensure data governance and quality standards are met, and help define quality metrics for data ingested into Databricks
• Organize and lead client meetings by scheduling sessions, preparing and delivering agendas and minutes, maintaining required documentation, and tracking and following up on action items
• Deliver client services while supporting business development, internal firm initiatives, and continued professional development

Technologies:

• AWS
• Azure
• Cloud
• Databricks
• Excel
• Support
• Machine Learning
• Microsoft Power Platform
• Power BI
• Python
• PySpark
• SQL
• Security
• SharePoint

More

We are hiring a Data Engineer in our Defense and Security Segment, within Data Science Consulting, to support work connected with the Department of Homeland Security. The role does not require travel. The annual salary range is $113,000–$188,000; compensation depends on factors such as skills, experience, training, clearances, certifications, and organizational needs. We offer competitive compensation and flexible benefits, including medical, prescription, dental and vision coverage; paid holidays and sick time; retirement and savings plans; parental leave and adoption assistance; disability and life insurance; student loan support; tuition reimbursement and professional development; and other wellness, family, mobility, and community programs. A discretionary incentive bonus may be available depending on the position. We are an equal opportunity employer and consider qualified applicants with criminal histories in accordance with applicable law.

last updated 43 week of 2026