Military Advisor- Big Data & Systems Engineer (Part Time/ Remote) (Mission Assurance 4)- 27692

Remote Full-time
About the position

HII-Mission Technologies is seeking an experienced and skilled
Military Advisor- Big Data Analytics & Systems Engineer to provide expert guidance and support to our military clients! As a Military Advisor, you will be responsible for providing technical expertise, developing and delivering training programs, and conducting operational assessments.

In this role, you will support large-scale data collection, processing, and analysis efforts focused on understanding population sentiment, digital trends, and information environments.

The selected candidate will design and implement systems that capture, process, and analyze high-volume data from scraping, collection, and digital monitoring efforts. These insights will support programs designed to build situational awareness of the digital environment, identify emerging trends, and inform strategic messaging, engagement, and influence activities.

This role combines data engineering, analytics, and digital environment analysis, requiring both technical expertise and the ability to translate large datasets into actionable insights. Come join our growing team today!

Position: Remote and part time.

Travel: This position requires episodic travel to OCONUS locations, often to remote and challenging environments. Expect deployments lasting several weeks to months at a time. Travel may include locations with limited infrastructure and security concerns.

Responsibilities
• Develop and maintain systems to capture and process large-scale datasets from scraping, automated collection, and external data feeds
• Design data pipelines that ingest structured and unstructured data at scale
• Manage ETL processes to clean, normalize, and integrate multiple data sources
• Analyze large datasets to identify population sentiment, behavioral patterns, and digital engagement trends
• Apply statistical analysis, machine learning, and natural language processing techniques to extract insights from text and social media data
• Monitor shifts in online discourse and emerging narratives
• Design and implement scalable big data architectures to support large analytical programs
• Integrate data systems into platforms used for digital awareness and influence analysis programs
• Ensure systems support high-volume processing and rapid analytical outputs
• Translate complex datasets into actionable insights for program planners and decision makers
• Develop dashboards, visualizations, and analytical reports
• Support program efforts aimed at understanding information flows, messaging effectiveness, and audience behavior
• Additional duties as assigned or required

Requirements
• 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience
• Experience with large-scale data analytics and distributed data systems
• Strong proficiency in Python and SQL
• Experience working with large datasets from scraping, APIs, or automated collection systems
• Experience designing data pipelines and big data processing workflows
• Strong communication skills to translate analytics into operational insights
• Excellent presentation and interpersonal skills
• Ability to work effectively in a fast-paced, dynamic environment
• Willingness to deploy up to 50% of the time as required by mission needs
• Clearance: Must be able to obtain and maintain a Secret clearance

Nice-to-haves
• Instructor experience, with a proven ability to develop and deliver effective training programs
• Ability to identify patterns and insights in large, noisy datasets
• Understanding of digital ecosystems and online behavioral trends
• Experience building analytical tools for monitoring and assessing information environments
• Experience with social media analytics or sentiment analysis
• Experience applying natural language processing (NLP) to large text datasets
• Experience with machine learning techniques for trend detection or classification
• Experience with web scraping frameworks and large-scale data collection systems
• Experience with distributed data environments such as Spark, Hadoop, or Kafka
• Clearance: Possess and maintain a Secret clearance

Benefits
• best-in-class medical, dental and vision plan choices
• wellness resources
• employee assistance programs
• Savings Plan Options (401(k))
• financial planning tools
• life insurance
• employee discounts
• paid holidays and paid time off
• tuition reimbursement
• early childhood and post-secondary education scholarships

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