Database Architecture, SME

Peraton

$135K — $216K *
US-AnywhereRemote in United States
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 16+ years experience with BS/BA, 14+ years with MS/MA, or 10+ years with Ph.D.
  • Proven record in large-scale data migrations
  • SQL proficiency and at least one scripting language, preferably Python
  • Hands-on experience with ETL/ELT tools (DBT, Apache Airflow, SnapLogic)
  • Expertise in data quality validation and migration verification
  • Familiarity with CMS federal data governance and security
  • Ability to obtain or maintain a Public Trust determination

Responsibilities

  • Design and execute data migration pipelines for fraud-related data into the cloud (Snowflake)
  • Lead deduplication and consolidation of records from multiple CMS systems
  • Develop and maintain ETL/ELT workflows for data ingestion and transformation
  • Conduct data profiling and quality analysis to ensure migration accuracy
  • Implement matching logic to identify and merge duplicate records
  • Collaborate with CMS stakeholders to define data models and mappings
  • Create documentation for data lineage and governance requirements
  • Optimize Snowflake objects for performance and cost

Benefits

  • Comprehensive healthcare coverage
  • Retirement savings plan
  • Career development and training opportunities
  • Flexible work arrangements
  • Generous paid time off
  • Employee assistance programs
  • Wellness programs
Full Job Description
Responsibilities

POSITION OVERVIEW

Peraton is seeking a Senior Data Engineer to support the Fraud Prevention System 2 (FPS2) program at the Centers for Medicare & Medicaid Services (CMS). This role will lead data migration and deduplication workstreams, ensuring that legacy system data is accurately consolidated, cleansed, and harmonized into the target data platform.

KEY RESPONSIBILITIES
  • Design and execute end-to-end data migration pipelines to migrate legacy fraud-related data assets into the cloud data warehouse (Snowflake)
  • Lead deduplication and record consolidation efforts across multiple CMS source systems, including provider, beneficiary, and case/referral records
  • Develop and maintain ETL/ELT workflows using modern tooling (e.g., DBT, Apache Airflow, SnapLogic) to support continuous data ingestion and transformation
  • Perform data profiling, quality analysis, and validation across source and target environments to ensure migration accuracy and completeness
  • Define and implement matching/resolution logic to identify and merge duplicate records across systems being consolidated
  • Collaborate with CMS stakeholders, data architects, and fraud analysts to understand source system data models and define target state mappings
  • Develop data lineage documentation and migration runbooks to support project governance and audit requirements
  • Tune and optimize Snowflake objects (tables, views, tasks, pipes, clustering keys) for performance and cost efficiency
  • Support data cutover planning and execution, including rollback procedures and validation checkpoints


Qualifications

Minimum of 16 years with BS/BA; Minimum of 14 years with MS/MA; Minimum of 10 years with Ph.D.
  • Demonstrated experience executing large-scale data migrations
  • Proficiency in SQL and at least one scripting language (Python preferred) for pipeline development and automation
  • Hands-on experience with ETL/ELT tools such as DBT, Apache Airflow, Informatica, SSIS, or SnapLogic
  • Experience with data quality validation, reconciliation testing, and migration verification across complex, multi-source environments
  • Familiarity with CMS or federal government data environments, including relevant data governance and security requirements
  • Active ability to obtain or maintain a Public Trust suitability determination


NICE-TO-HAVE QUALIFICATIONS
  • Direct experience on a CMS program
  • Experience with deduplication or entity resolution techniques
  • Knowledge of CMS claims, provider enrollment, or beneficiary data structures
  • Experience with master data management (MDM) tools or frameworks
  • Familiarity with fraud, waste, and abuse (FWA) detection workflows and data models
  • Experience in Agile/Scrum delivery environments with tools like Jira and Confluence


Target Salary Range

$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

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