Primary Responsibilities
Platform Development & Administration: Design, develop, and maintain probabilistic matching configurations, algorithms, and scoring models to ensure accurate entity resolution across multi-domain data sources.
Entity Relationship Management: Analyze and connect records to determine relationships across datasets, creating accurate master data views that improve data quality and compliance readiness.
Full Lifecycle Management: Oversee data model design, implementation, testing, deployment, and environment administration to ensure high availability and performance.
Matching & Resolution Expertise: 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: Perform match tuning, false positive/negative analysis, threshold optimization, and maintain data quality scorecards and effectiveness metrics.
Performance & Scalability: Optimize database performance through indexing, partitioning, and query tuning; monitor systems; and conduct capacity planning and performance testing.
Collaboration & Leadership: Partner with stakeholders to translate requirements into solutions, document architecture and procedures, and participate in incident response and root cause analysis.
Basic Qualifications
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 Qualifications
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
At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you – apply today.
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If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting
January 29, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range
Pay Range $131,300.00 - $237,350.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
