Principal Data Engineer jobs in United States
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Leidos · 1 day ago

Principal Data Engineer

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.

ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

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

Qualification

Probabilistic matchingEntity resolutionSQL proficiencyData quality techniquesData integration toolsCloud-based systemsAgile methodologiesAnalytical skillsProblem-solving skillsCollaborationCommunication

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

Benefits

Paid Time Off
11 paid Holidays
401K with a 6% company match and immediate vesting
Flexible Schedules
Discounted Stock Purchase Plans
Technical Upskilling
Education and Training Support
Parental Paid Leave

Company

Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.

Funding

Current Stage
Public Company
Total Funding
unknown
2025-02-20Post Ipo Debt
2013-09-17IPO

Leadership Team

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James Carlini
Chief Technology Officer
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Theodore Tanner
Chief Technology Officer
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Company data provided by crunchbase