Data Management and Analytics Engineer

MAG Aerospace; Fairfax (VA); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Flexible work arrangements

SAS certification support

Access to SAS technologies

Job summary

MAG Aerospace is seeking a Data Management and Analytics Engineer to transform raw data into strategic intelligence using SAS platforms. You will architect scalable data solutions and lead data modernization, enabling data-driven decisions across mission-critical operations.

U.S. Citizens Only. Hybrid role with remote emphasis and occasional office visits to Fairfax, VA, or satellite sites. Requires DoD or regulated environment experience and Secret clearance eligibility.

Qualifications

• 5+ years in data management, data engineering, or analytics.
• Expert SAS programming with SAS Viya and related tools.
• Strong SQL and data warehousing knowledge.

Responsibilities

• Design and implement robust data pipelines using SAS Viya.
• Lead migration to SAS Viya cloud architectures and modernize algorithms.
• Develop SAS programming solutions for complex data transformations.
• Build models using SAS Enterprise Miner and SAS Visual Analytics.
• Create automated ETL processes for large, diverse datasets.
• Implement data quality frameworks and governance standards.
• Develop dashboards with SAS Visual Analytics and BI tools.
• Support data governance and security within SAS environments.

Skills

SAS Viya

SAS DI Studio

SAS programming

SQL

Python

Azure Cloud

Data warehouse

Tableau

Power BI

Education

Bachelor's degree in CS/Stats/Math

Master's in Statistics/Data Science

Tools

SAS Visual Analytics

SAS Enterprise Miner

SAS Macros

Tableau

Power BI

Git

Job description

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