Data Management and Analytics Engineer chez MAG Aerospace
MAG Aerospace · Fairfax, États-Unis d'Amérique · Hybrid
- Professional
- Bureau à Fairfax
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.
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
Minimum Requirements
Experience:
Required Qualifications
- 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
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