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

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

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: 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.