Data Management and Analytics Engineer

Data Management And Analytics EngineerMAG 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 OnlyFormer US Defense Contractor / US Gov / US Military Experiences OnlyThis 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 NCEssential Duties And ResponsibilitiesDuties include, but not limited to:Primary ResponsibilitiesDesign and implement robust data pipelines using SAS Viya and SAS Data Integration StudioLead migration initiatives from legacy data environments to SAS Viya cloud instances, including comprehensive data rationalization and modernization of existing algorithms for cloud-native computing architecturesDevelop advanced SAS programming solutions (Base SAS, SAS/STAT, SAS Macros, SAS/SQL) for complex data transformationsBuild statistical models and machine learning algorithms using SAS Enterprise Miner and SAS Visual AnalyticsCreate automated ETL processes to extract, cleanse, and transform large datasets from diverse sourcesImplement data quality frameworks and governance standards to ensure accuracy and integrityDevelop interactive dashboards and visualizations using SAS Visual Analytics and other BI toolsOptimize data warehouse architecture and implement efficient data modeling principlesSecondary ResponsibilitiesCreate comprehensive reports and presentations to communicate analytical findings to stakeholdersCollaborate with business analysts and data scientists to translate requirements into technical solutionsMaintain and enhance existing SAS code libraries for efficiency and reusabilityProvide technical mentoring and knowledge transfer to junior team membersSupport data governance initiatives and compliance with industry regulationsImplement data security protocols and access controls within SAS environmentsDocument analytical processes and maintain comprehensive technical specificationsRequirements5+ years of hands-on experience in data management, data engineering, or analyticsExtensive, proven experience with SAS Viya platform including SAS Enterprise Guide and SAS Data Integration StudioExpert-level SAS programming skills with focus on data manipulation, ETL processes, and statistical analysisStrong proficiency in SQL for querying and manipulating relational databases (Oracle, SQL Server, PostgreSQL)Experience with data warehousing concepts, dimensional modeling, and database optimizationStrong scripting skills (Python, R, or advanced SAS macro programming)Understanding of statistical analysis, data mining, and machine learning techniquesExperience with cloud platforms (Azure required, AWS/GCP beneficial)Knowledge of data visualization tools (SAS Visual Analytics, Tableau, Power BI)Preferred QualificationsSAS Global Certifications (Base Programming, Advanced Programming, Data Integration)Experience with SAS Visual Analytics and SAS Enterprise MinerKnowledge of machine learning frameworks and advanced statistical modelingFamiliarity with big data technologies (Hadoop, Spark, NoSQL databases)Experience with version control systems (Git) and collaborative development practicesUnderstanding of data privacy regulations and compliance frameworksExperience with the Department of Defense or similarly regulated environment.Education:Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative fieldPreferred - Master's degree in Statistics, Data Science, or related analytical fieldClearance:Must be eligible for Secret security clearanceUS Citizenship requiredSpecial NoteWhat Makes You Successful HereYou turn complex datasets into actionable insightsYou build scalable, maintainable data solutions, not one-off analysesYou implement data quality into pipelines, not validate it after the factYou can work across on-premises, cloud, and hybrid data environmentsYou measure success by the business impact of your analytical solutionsWhy Join MAG:Work on meaningful analytics problems that directly impact national securitySmall, elite team where your data insights drive immediate operational decisionsAccess to cutting-edge SAS technologies and large-scale datasetsRapid analytics environment - see your models deployed and making impact quicklyDirect interaction with stakeholders and end users of analytical productsProfessional development including SAS certification and conference attendance supportFlexible work arrangements with occasional field exercises and customer site visitsOpportunity to shape the future of mission-critical data analytics and intelligenceBenefits And CompensationAt 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. 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.