Tokenization Jobs in Maryland (NOW HIRING)

Job Summary:
Leidos has an exciting opportunity for a Data Engineer in their Intel Sector's Analysis Solutions Business Area. The role involves designing, developing, and administering a Next Generation Correlation/Entity Resolution platform, focusing on data exploitation capabilities to support multiple applications.
Responsibilities:
• Design, develop, and maintain probabilistic matching configurations, algorithms, and scoring models to ensure accurate entity resolution across multi-domain data sources.
• Analyze and connect records to determine relationships across datasets, creating accurate master data views that improve data quality and compliance readiness.
• Oversee data model design, implementation, testing, deployment, and environment administration to ensure high availability and performance.
• Configure and optimize standardization, bucketing, and comparison algorithms; design custom rules, weights, and thresholds; and apply advanced techniques to consolidate records across disparate sources.
• Perform match tuning, false positive/negative analysis, threshold optimization, and maintain data quality scorecards and effectiveness metrics.
• Optimize database performance through indexing, partitioning, and query tuning; monitor systems; and conduct capacity planning and performance testing.
• Partner with stakeholders to translate requirements into solutions, document architecture and procedures, and participate in incident response and root cause analysis.
Qualifications:
Required:
• 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 (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 Masters degree with 10 or more years of relevant experience. Will consider additional relevant work experience in lieu of a degree.
• Must have an active TS/SCI with polygraph security clearance
Preferred:
• Background in statistics, data science, or computational linguistics with hands-on experience with enterprise Master Data Management (MDM) platforms (e.g., IBM InfoSphere MDM)
• Experience with IBM InfoSphere MDM administrative tools, workbench, and configuration utilities
• Knowledge of probabilistic matching engines including standardization algorithms, bucketing strategies, comparison functions, and scoring models and 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
Company:
Leidos is an industry and technology leader serving government & commercial customers with smarter, more efficient digital and mission innovations. Founded in 1969, the company is headquartered in Reston, USA, with a team of 10001+ employees. The company is currently Late Stage.