Operations Research / Systems Analyst (ORSA) - Data Engineering and Analytics (5406)

Posted 7 Hours Ago
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Hanover, MD, USA
In-Office
123K-185K Annually
Senior level
Cloud • Information Technology
The Role
Design and build data architectures and ETL pipelines to integrate disparate systems for personnel vetting and counterintelligence. Ensure data quality and provenance, develop entity resolution and analysis-ready datasets, support statistical analysis, visualizations, and cross-team collaboration to enable forecasting and optimization in classified government environments.
Summary Generated by Built In

The Operations Research (OR) Analyst - Data Engineering & Analytics Focus provides advanced data integration, architecture, and analytics capabilities to enable quantitative analysis across a Federal Agency's personnel vetting, industrial security, and counterintelligence operations. This position is responsible for transforming disparate, complex data sources into unified analytical datasets that enable the Federal Agency to transition from reactive reporting toward proactive, mathematically grounded forecasting and optimization.

Essential Duties & Responsibilities

Data Integration & Architecture

  • Design and implement data architectures that integrate information from multiple disparate source systems supporting personnel vetting, industrial security, and counterintelligence missions
  • Build and maintain ETL pipelines that extract, transform, and load data from heterogeneous sources including relational databases, flat files, APIs, and legacy systems
  • Develop entity resolution approaches to link person, company, and facility records across systems that lack common unique identifiers
  • Create reusable data integration frameworks that accommodate changes in source system schemas and evolving business rules

Data Quality & Validation

  • Develop data quality frameworks that assess completeness, accuracy, consistency, and timeliness of source data
  • Implement data validation processes that identify and handle missing data, duplicates, temporal inconsistencies, and conflicting information
  • Document data provenance, transformations, quality metrics, and known limitations to ensure analytical reproducibility
  • Collaborate with system owners and data stewards to resolve data quality issues at the source

Analytics & Visualization

  • Apply statistical analysis and exploratory data analysis to understand operational patterns and trends within integrated datasets
  • Develop interactive dashboards and visualization products that communicate complex data insights to technical and non-technical audiences
  • Translate data findings into objective, data-driven insights that support strategic and operational decision-making
  • Create data marts and analysis-ready datasets optimized for specific use cases (process modeling, risk assessment, resource optimization)

Collaboration & Support

  • Partner with modeling/simulation and optimization specialists to define analytical dataset requirements
  • Support advanced analytics by providing clean, well-documented, empirically grounded datasets
  • Participate in cross-functional team activities to maintain technical standards and share knowledge
  • Adapt analytical approaches to work within data availability constraints while maintaining analytical rigor

Required Skills/Experience

  • 8+ years of progressive, hands-on operations research or data analytics experience, including demonstrated application of statistical analysis, data integration, and quantitative methods to real-world operational problems
  • 3–5 years of that experience supporting DoD or Intelligence Community 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, hands-on proficiency in an analytical programming language (Python or R), including libraries for data manipulation (pandas, dplyr), analysis, 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, multi-source operational 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 (active or ability to obtain)

Desired Skills/Experience

  • Advanced degree in Operations Research, Applied Mathematics, Statistics, Computer Science, Data Science, Information Systems, or a related quantitative discipline
  • Familiarity with NISP, clearance adjudication processes, and/or insider threat/counterintelligence analytic frameworks
  • Experience with entity resolution, record linkage, and master data management techniques
  • Familiarity with both legacy government systems and modern cloud-based data architectures
  • Experience with version control and collaborative development (Git/GitHub)
  • Knowledge of data governance frameworks, metadata management, and data cataloging
  • Experience with big data technologies (Spark, distributed computing)
  • Familiarity with NoSQL databases (MongoDB, Neo4j, graph databases)
  • Data visualization tools (Tableau, Power BI, Plotly, D3.js)
  • Experience with data orchestration tools (Airflow, Prefect, Luigi)
  • API development and integration experience (REST, SOAP)
  • Knowledge of queueing theory, statistical modeling, or optimization methods to better support analytical consumers

Application Deadline: July 31, 2026


The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.

The proposed salary for this position is:
$123,000$185,000 USD

At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.

We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.

SMX is an Equal Opportunity employer including disabilities and veterans.

Selected applicant may be subject to a background investigation and/or education verification.

SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

Skills Required

  • 8+ years of progressive operations research or data analytics experience applying statistical analysis, data integration, and quantitative methods
  • 3-5 years supporting DoD or Intelligence Community mission areas (personnel vetting, industrial security NISP, counterintelligence, insider threat)
  • Expert-level proficiency in SQL and relational database design, including complex queries and performance optimization
  • Hands-on proficiency in an analytical programming language (Python or R) including libraries for data manipulation and analysis
  • 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, multi-source operational 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 (active or ability to obtain)

SMX Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SMX and has not been reviewed or approved by SMX.

  • Fair & Transparent Compensation Salary ranges are publicly listed on many postings and a pay transparency statement clarifies how location, contract, and credentials influence offers. This visibility helps set clear expectations around compensation.
  • Leave & Time Off Breadth About four weeks of PTO plus 11 paid federal holidays are highlighted in careers materials. Paid military leave on some roles further expands time‑off coverage.
  • Retirement Support A 401(k) with a dollar‑for‑dollar match on the first 5% and immediate vesting is called out in role descriptions. Traditional and Roth options support long‑term savings.

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The Company
HQ: Hollywood, MD
1,413 Employees
Year Founded: 1995

What We Do

SMX is a global technology and advanced engineering provider specializing in Cloud Solutions, C5ISR, and Advanced Engineering / IT. Our tradition of delivering innovative, technical solutions dates back to 1995, however, you may know us better by one of our legacy company names: Trident Technologies, Smartronix, Datastrong, or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, the DC Metro, Florida, Hawaii, Maryland, and Massachusetts. Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face. SMX offers competitive benefits, excellent work environments, and growth opportunities for our employees while continuing to expand operations and support our communities. We have more than 25 years of rapid and consistent growth with continuous recognition as an employer-of-choice technology company. In addition, we have earned coveted industry quality and business certifications; have a strong commitment to business partnerships, ethics, compliance, and sustainability; and have a multitude of premier contracting vehicles. The combination of these attributes allows us to provide sound, repeatable business solutions yet remain flexible and agile to quickly adapt to specific customer requirements. Committed to ensuring the highest levels of customer satisfaction, SMX is structured around the programs and technologies we support to provide optimal and seamless operations. We have maintained a reputation for excellence, helping to assure the missions of our Department of Defense, Public Sector, Fortune 1000, and other Government and commercial customers.

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