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 as well 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
Essential Duties And Responsibilities
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
Requirements

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, NoSQL 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
Special Note
What Makes You Successful Here

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 intelligence
Benefits And Compensation
At MAG Aerospace, we value your contributions providing our employees with a robust Total Rewards package that supports your total well-being. Full-time and part-time employees working at least 30 hours a week on a regular basis are eligible to participate in MAG's Total Rewards programs. Our offerings include health, life, disability, financial, and retirement benefits as well as paid leave, professional development, and tuition assistance. Individuals that do not meet the threshold are only eligible for select offerings not inclusive of health benefits. We encourage you to learn more about our Total Rewards Program by visiting the Resource page on our Careers site: https://www.magaero.com/benefits/. Salary at MAG Aerospace is determined by various factors including but not limited to location, the particular combination of education, knowledge, skills, competencies, and experience as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $80500 to $149500 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of MAG's total compensation package for employees.