Senior OR Data Engineer & Analytics Architect

SMX; Hanover (MD); On-site; USD 123,000 - 185,000; Full time

Benefits offered by this job

Health Insurance

Paid Leave

Retirement Plan

Job summary

SMX is seeking an Operations Research Analyst – Data Engineering & Analytics Focus to advance data integration, architecture, and analytics across our DoD-focused engagements. You'll transform disparate data sources into unified analytical datasets enabling proactive forecasting and optimization in support of personnel vetting, industrial security, and counterintelligence operations.

The role emphasizes SQL, Python/R, ETL, data quality, and visualization, with collaboration across

Qualifications

• 8 years of hands-on operations research or data analytics experience addressing real-world problems.
• 3–5 years supporting DoD or IC mission areas such as personnel vetting, industrial security (NISP), counterintelligence, or insider threat.
• Expert-level proficiency in SQL and relational database design, including complex queries, joins, subqueries, and performance optimization.
• Demonstrated proficiency in an analytical programming language (Python or R), with libraries for data manipulation and visualization.
• Proven experience building ETL pipelines and data integration workflows across multiple disparate data sources.
• Experience with data architecture for analytics (data warehousing, dimensional modeling, data lakes).
• Experience assessing and improving data quality in complex environments.
• Ability to translate technical data challenges into clear communication for non-technical stakeholders.
• Experience working with data in secure (classified) government environments.
• Secret clearance required.

Responsibilities

• Design architectures that integrate information from multiple source systems supporting personnel vetting, industrial security, and counterintelligence missions.
• Build ETL pipelines that extract, transform, and load data from relational databases, flat files, APIs, and legacy systems.
• Develop entity resolution approaches to link records across systems lacking common identifiers.
• Create reusable data integration frameworks accommodating schema changes and evolving business rules.
• Apply statistical analysis and exploratory data analysis to understand operational patterns in integrated datasets.
• Develop interactive dashboards and visualization products that communicate complex insights to technical and non-technical audiences.
• Translate data findings into objective, data-driven insights to support strategic decisions.
• Create data marts and analysis-ready datasets optimized for use cases like process modeling, risk assessment, and resource optimization.
• Partner with modeling/simulation and optimization specialists to define dataset requirements.

Skills

SQL

Python or R

ETL pipelines

Data architecture

Data quality

Entity resolution

Data visualization

DoD/IC experience

Education

Advanced degree in Operations Research, Applied Mathematics, Statistics, Computer Science, Data Science, Information Systems, or related quantitative discipline

Tools

Spark

MongoDB

Neo4j

Airflow

Git/GitHub

Tableau

Power BI

Job description

SMX is seeking an Operations Research Analyst – Data Engineering & Analytics Focus to advance data integration, architecture, and analytics across our DoD-focused engagements. You'll transform disparate data sources into unified analytical datasets enabling proactive forecasting and optimization in support of personnel vetting, industrial security, and counterintelligence operations.

The role emphasizes SQL, Python/R, ETL, data quality, and visualization, with collaboration across