Data Management and Analytics Engineer
$80500 to $149500
Apply (opens in a new tab)Data Management and Analytics Engineer
Posted 8 days ago
SENIORITY
Lead
SALARY
$80500 to $149500
About the role
- 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 StudioExpert-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)
- 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.
- Must be eligible for Secret security clearanceUS Citizenship required
- Special NoteWhat Makes You Successful HereYou 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
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
