SMX
ClearedOnsiteSeniorDataEngineer/Analyst
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optimal for Senior candidates.
“Cleared Onsite Senior Data Engineer/ Analyst at SMX. Skills: Data mapping, Data lineage, Data architecture. Review, analyze, and interpret Data Dictionaries, Entity-Relationship Diagrams. Develop, maintain, and govern enterprise Master Data Mapping”
Industry & Context.
Problem-solving; Critical-thinking
Secret clearance
What They're Looking For.
Must Have
Bachelor's degree in information systems, Computer Science, Data Management, Engineering, Business Analytics, or related field, Minimum 5 years of professional experience in data analysis, data mapping, data architecture support, database analysis, or related technical disciplines, Demonstrated experience reviewing and interpreting Data Dictionaries, ERDs, database schemas, and technical documentation, Experience documenting data mappings, transformation rules, and data lineage across multiple systems, understanding of relational database concepts, including tables, keys, relationships, normalization, and data modeling principles, Experience working with SQL and relational database technologies, Experience collaborating with technical and business stakeholders to gather, validate, and document data requirements, Ability to independently analyze complex enterprise systems and produce accurate technical documentation, Secret clearance
Nice to Have
Experience supporting enterprise data architecture, data governance, or data management initiatives, Familiarity with metadata management and data cataloging tools, Experience supporting data migration, system integration, or modernization efforts, Experience supporting federal government or DoD programs, Knowledge of DoD data standards and enterprise data strategies, Familiarity with cloud-based data platforms and architectures, Experience working with data quality assessment and data profiling activities, Understanding of Master Data Management (MDM) concepts, Experience creating or maintaining enterprise data models
What You'll Do.
and interpret Data Dictionaries
Entity-Relationship Diagrams
and govern enterprise Master Data Mapping
Document field-level mappings
Collaborate with system owners
database administrators
Analyze source and target system data models to
Identify data quality issues
Support enterprise data governance initiatives through accurate documentation
Assist with impact assessments related to system changes
Ensure all data mapping activities comply with DoD
Support development and maintenance of enterprise data architecture
Participate in data modernization and system integration planning
Provide recommendations to improve data consistency
Serve as a subject matter expert for enterprise
How You'll Work.
Team & Collaboration
system owners; database administrators; developers; business analysts; architects
Communication Scope
Written communication; Verbal communication
Full Job Description
cBEYONData, a subsidiary of SMX, is seeking a Senior Data Engineer / Analyst to support a federal customer's enterprise data modernization and integration initiatives. This role is responsible for analyzing complex data structures across legacy and modernized systems and translating technical data artifacts into a comprehensive enterprise data mapping framework. The ideal candidate possesses strong analytical skills, experience working with relational databases and data models, and the ability to collaborate effectively with technical stakeholders across multiple systems and organizations. This role will support enterprise data architecture efforts by reviewing Data Dictionaries, Entity-Relationship Diagrams (ERDs), interface specifications, and related technical documentation to establish and maintain authoritative cross-system data mappings, data lineage, and transformation rules. The successful candidate will operate with a high degree of independence, providing expert-level analysis and recommendations that support enterprise integration, data governance, and modernization efforts. This role is hybrid supporting a Hanover, MD program. Essential Duties & Responsibilities: • Review, analyze, and interpret Data Dictionaries, Entity-Relationship Diagrams (ERDs), interface control documents, and other technical artifacts from enterprise systems • Develop, maintain, and govern enterprise Master Data Mapping documentation to support data integration and modernization efforts • Document field-level mappings, transformation rules, data lineage, and relationships across multiple systems and data sources • Collaborate with system owners, database administrators, developers, business analysts, and architects to validate data definitions and resolve mapping discrepancies • Analyze source and target system data models to identify relationships, dependencies, and integration requirements • Identify data quality issues, redundancies, inconsistencies, and opportunities for data
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