Principal Data Engineer

Leidos offers an exciting opportunity for a Data Engineer in the Intel Sector's Analysis Solutions Business Area
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We are seeking an experienced Data Engineer to design, develop, and administer an enterprise-scale Next Generation Correlation/Entity Resolution platform that serves as a foundational data exploitation capability for multiple applications. The role requires deep expertise in master data management, probabilistic matching algorithms, and entity resolution, with the technical architecture skills needed to optimize match performance at scale.

• Platform Development & Administration
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  Design, develop, and maintain probabilistic matching configurations, algorithms, and scoring models to ensure accurate entity resolution across multi‑domain data sources.
• Entity Relationship Management
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  Analyze and connect records to determine relationships across datasets, creating accurate master data views that improve data quality and compliance readiness.
• Full Lifecycle Management
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  Oversee data model design, implementation, testing, deployment, and environment administration to ensure high availability and performance.
• Matching & Resolution Expertise
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  Configure and optimize standardization, bucketing, and comparison algorithms; design custom rules, weights, and thresholds; and apply advanced techniques to consolidate records across disparate sources.
• Quality & Effectiveness Monitoring
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  Perform match tuning, false positive/negative analysis, threshold optimization, and maintain data quality scorecards and effectiveness metrics.
• Performance & Scalability
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  Optimize database performance through indexing, partitioning, and query tuning; monitor systems; and conduct capacity planning and performance testing.
• Collaboration & Leadership
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  Partner with stakeholders to translate requirements into solutions, document architecture and procedures, and participate in incident response and root‑cause analysis.

• Hands‑on experience with probabilistic matching and entity resolution solutions, including translating business requirements into technical configurations.
• Strong knowledge of entity resolution concepts, data linkage theory, and matching algorithms (e.g., Fellegi–Sunter, distance metrics, phonetic approaches).
• Expertise in data quality dimensions, tokenization, standardization, and normalization techniques to improve matching effectiveness.
• Advanced analytical and problem‑solving skills with proven experience in data analysis and pattern recognition.
• Proficiency in SQL and enterprise relational databases (Oracle) within large‑scale environments, including performance tuning for high‑volume transactional systems.
• Experience with enterprise ETL platforms, data integration tools, and maintaining large‑scale, cloud‑based Linux information systems.
• Familiarity with Agile development methodologies and collaborative software delivery practices.
• BS degree with 12 or more years of relevant experience; or MS degree with 10 or more years of relevant experience. Additional relevant work experience may be considered in lieu of a degree.
• Must have an active TS/SCI with polygraph security clearance.

• Background in statistics, data science, or computational linguistics with hands‑on experience with enterprise Master Data Management (MDM) platforms (e.g., IBM Info Sphere MDM).
• Experience with IBM Info Sphere MDM administrative tools, workbench, and configuration utilities.
• Knowledge of probabilistic matching engines including standardization algorithms, bucketing strategies, comparison functions, and scoring models; familiarity with identity resolution in multi‑domain environments and machine‑learning approaches to entity resolution and record linkage.
• Experience in healthcare, financial services, or other industries with complex entity matching requirements.
• Professional certification in Master Data Management, Data Quality, or Database Administration.
• Experience with development in commercial cloud platforms (e.g., AWS, Oracle, Azure) and leveraging cloud data services (e.g., S3, RDS, SQS).
• Familiarity with Java or similar programming languages for custom extensions and matching algorithm development.

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All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, disability, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity, or veteran status, or any other basis prohibited by law. Leidos also considers qualified applicants with criminal histories consistent with relevant laws.