Data Management and Analytics Engineer

Position Summary

MAG is staffing for a Data Management and Analytics Engineer to transform raw data into strategic intelligence through advanced analytics and data engineering. You'll architect scalable data solutions using the SAS platform, enabling data-driven decision making that directly supports mission-critical operations and business objectives.

U.S. Citizens Only

Former US Defense Contractor / US Gov / US Military Experiences Only

This is a Hybrid Position
- Remote mainly - but also on call to come into a MAG office when requested.

We are seeking candidates who live in proximity to our corporate HQ in Fairfax, VA primarily but will entertain persons living near our satellite offices in:

Aberdeen, MD
- Titusville, FL
- Newport News, VA
- Carthage NC

Duties include, but not limited to:

Primary Responsibilities

• Design and implement robust data pipelines using SAS Viya and SAS Data Integration Studio
• Lead migration initiatives from legacy data environments to SAS Viya cloud instances, including comprehensive data rationalization and modernization of existing algorithms for cloud-native computing architectures
• Develop advanced SAS programming solutions (Base SAS, SAS/STAT, SAS Macros, SAS/SQL) for complex data transformations
• Build statistical models and machine learning algorithms using SAS Enterprise Miner and SAS Visual Analytics
• Create automated ETL processes to extract, cleanse, and transform large datasets from diverse sources
• Implement data quality frameworks and governance standards to ensure accuracy and integrity
• Develop interactive dashboards and visualizations using SAS Visual Analytics and other BI tools
• Optimize data warehouse architecture and implement efficient data modeling principles

Secondary Responsibilities

• Create comprehensive reports and presentations to communicate analytical findings to stakeholders
• Collaborate with business analysts and data scientists to translate requirements into technical solutions
• Maintain and enhance existing SAS code libraries for efficiency and reusability
• Provide technical mentoring and knowledge transfer to junior team members
• Support data governance initiatives and compliance with industry regulations
• Implement data security protocols and access controls within SAS environments
• Document analytical processes and maintain comprehensive technical specifications

• 5+ years of hands-on experience in data management, data engineering, or analytics
• Extensive, proven experience with SAS Viya platform including SAS Enterprise Guide and SAS Data Integration Studio
• Expert-level SAS programming skills with focus on data manipulation, ETL processes, and statistical analysis
• Strong proficiency in SQL for querying and manipulating relational databases (Oracle, SQL Server, PostgreSQL)
• Experience with data warehousing concepts, dimensional modeling, and database optimization
• Strong scripting skills (Python, R, or advanced SAS macro programming)
• Understanding of statistical analysis, data mining, and machine learning techniques
• Experience with cloud platforms (Azure required, AWS/GCP beneficial)
• Knowledge of data visualization tools (SAS Visual Analytics, Tableau, Power BI)

Preferred Qualifications

• SAS Global Certifications (Base Programming, Advanced Programming, Data Integration)
• Experience with SAS Visual Analytics and SAS Enterprise Miner
• Knowledge of machine learning frameworks and advanced statistical modeling
• Familiarity with big data technologies (Hadoop, Spark, No
  
  SQL databases)
• Experience with version control systems (Git) and collaborative development practices
• Understanding of data privacy regulations and compliance frameworks
• Experience with the Department of Defense or similarly regulated environment.

Education:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field
• Preferred
  - Master's degree in Statistics, Data Science, or related analytical field

Clearance:

• Must be eligible for Secret security clearance
• US Citizenship required

• You turn complex datasets into actionable insights
• You build scalable, maintainable data solutions, not one-off analyses
• You implement data quality into pipelines, not validate it after the fact
• You can work across on-premises, cloud, and hybrid data environments
• You measure success by the business impact of your analytical solutions

Why Join MAG:

• Work on meaningful analytics problems that directly impact national security
• Small, elite team where your data insights drive immediate operational decisions
• Access to cutting-edge SAS technologies and large-scale datasets
• Rapid analytics environment - see your models deployed and making impact quickly
• Direct interaction with stakeholders and end users of analytical products
• Professional development including SAS certification and conference attendance support
• Flexible work arrangements with occasional field exercises and customer site visits
• Opportunity to shape the future of mission-critical data analytics and…