Data Analytics Engineer, Senior
About The Position
As a Senior Data Analytics Engineer, you will transform enterprise and mission data into trusted, actionable insights that support organizational performance and decision-making. You will partner with government leaders, program managers, SharePoint developers, data owners, and technical teams to design and implement scalable data and analytics solutions. The role involves developing data integration workflows and pipelines, establishing data quality processes, and creating reporting capabilities that improve visibility into mission operations, workload, productivity, and organizational performance. You will work across the analytics lifecycle by gathering requirements, integrating and transforming data, developing data models, building dashboards and KPIs, and delivering automated reporting solutions. You will help organizations replace manual reporting with scalable, data-driven decision-making capabilities.
Requirements
- 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 at least one programming or scripting language for 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 technical and nontechnical stakeholders.
- Active TS/SCI clearance is required.
- Bachelor's degree and 8 or more years of experience in data engineering, business intelligence, or analytics; alternatively, 12 or more years of experience in those fields in lieu of a degree.
Nice To Haves
- 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 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.
Responsibilities
- Design and maintain data pipelines, ETL/ELT workflows, and data integration solutions.
- Integrate data from enterprise sources such as SharePoint, databases, and APIs.
- Develop dashboards, KPIs, and reporting solutions using Power BI or Tableau.
- Use SQL and programming or scripting languages for data transformation, analytics, automation, and reporting.
- Develop analytical solutions to identify trends, measure performance, and support operational decision-making.
- Translate business requirements into scalable data and analytics solutions.
- Communicate technical and analytical findings to technical and nontechnical stakeholders.
- Establish data quality processes and deliver automated reporting capabilities.
Benefits
- Health, life, and disability benefits
- Financial and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
