Data Management and Analytics Engineer

MAG AerospaceFairfax, VA
13d$80,500 - $149,500Hybrid

About The Position

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

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

Nice To Haves

  • 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.

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
  • 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

Benefits

  • 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/.
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