Data Analytics Engineer, Senior

In this Senior Data Analytics Engineer position, you will help transform enterprise and mission data into trusted, actionable insights. The role supports scalable data and analytics capabilities, including pipelines, data quality processes, and automated reporting that improve visibility into mission operations and performance.

Location and Work Model

• Location: Charlottesville, VA (onsite)

Compensation

• Salary Range: USD 77,500 - 176,000 per yearly
• Participation in Benefits: Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs
• Projected Compensation Range: $77,500.00 to $176,000.00 (annualized USD)
• Posting Timeline: This posting will close within 90 days from the Posting Date

Role Summary

You will contribute to an analytics lifecycle that spans gathering requirements, integrating and transforming data, developing data models, and delivering dashboards, KPIs, and automated reporting solutions. The position focuses on improving decision-making by replacing manual reporting processes with scalable, data-driven capabilities.

Responsibilities

• Partner with government leaders, program managers, SharePoint developers, data owners, and technical teams to design and implement scalable data and analytics solutions.
• Develop data integration workflows, engineer data pipelines, establish data quality processes, and create reporting capabilities that improve visibility into mission operations, workload, productivity, and organizational performance.
• Work across the analytics lifecycle, gathering requirements, integrating and transforming data, developing data models, building dashboards and KPIs, and delivering automated reporting solutions.
• Support organizations in transitioning from manual reporting processes to scalable, data-driven decision-making.

Required Qualifications

• Experience designing and maintaining data pipelines, ETL/ELT workflows, and data integration solutions.
• Experience integrating data from enterprise data sources such as SharePoint, databases, or APIs.
• Experience developing dashboards, KPIs, and reporting solutions using Power BI or Tableau.
• Experience using SQL and one or more programming or scripting languages to support data transformation, analytics, automation, and reporting.
• Experience developing analytical solutions that identify trends, measure performance, and support operational decision-making.
• Experience translating business requirements into scalable data and analytics solutions.
• Ability to communicate technical and analytical findings to both technical and nontechnical stakeholders.
• TS/SCI clearance
• Education and experience: Bachelor’s degree and 8+ years of experience in data engineering, business intelligence, or analytics, or 12+ years in those areas in lieu of a degree

Technologies

• Power BI
• Tableau
• SQL
• ETL
• ELT
• SharePoint
• APIs

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care

Nice If You Have

• Experience with SharePoint Online, SharePoint Server, Microsoft Graph, or Microsoft 365 data integrations.
• Experience with Databricks, Microsoft Fabric, Jupyter Notebooks, or similar analytics platforms.
• Experience with AWS or cloud-based analytics environments.
• Experience building automated reporting, self-service analytics, or enterprise data products.
• Experience using programming languages such as Python, R, C#, Java, Scala, or PowerShell for analytics, automation, and data processing.
• Experience with data governance, data quality, and modern data architecture principles.
• Experience supporting Intelligence Community, DoD, or federal government customers.
• TS/SCI clearance with a polygraph.

Security Clearance Requirements

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. TS/SCI clearance is required.

Identity Verification and Interview Assessment

• As part of the hiring process, you will be asked to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud.
• You are expected to be on camera during interviews and assessments.
• Booz Allen reserves the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

The use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Non-Discrimination Commitment

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.