Senior Data Scientist TS​/SCI CI POLY

Job Description

Parsons is looking for a highly experienced and technically proficient Data Engineer to support AI development, deployment, and maintenance of AI applications at enterprise scale.

This role focuses on corporate dataflows, data modeling, developing data parsers for extremely large datasets, and AI concepts in data storage, access, and retrieval. The candidate must be adept at deploying graph, SQL, No

SQL, and vector databases, ensuring robust and scalable data infrastructure for AI initiatives.

• Design, develop, and maintain robust and scalable data pipelines for enterprise AI applications, including defining appropriate data model concepts
• Develop high-performance data parsers for extremely large and complex datasets
• Implement and manage various database systems, including graph, SQL, No
  
  SQL, and vector databases
• Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize data access and retrieval for AI models
• Ensure data quality, integrity, and security across all data storage solutions
• Support the deployment and maintenance of AI applications by providing expert data engineering capabilities
• Familiarity with AI concepts in the context of data storage, access, and retrieval
• Continuously optimize data infrastructure for performance, cost‑efficiency, and scalability

• Active TS/SCI with Polygraph security clearance
• Bachelor's degree in a relevant technical field with 8 years of experience;
  Master’s degree with 5 years of experience; 4 years additional experience may substitute for a degree
• Advanced proficiency in Python, Java, or Scala
• Demonstrated expertise in designing, developing, and optimizing data pipelines for large‑scale enterprise environments
• Proof experience with corporate dataflows and developing data parsers for extremely large datasets
• Extensive experience with graph databases (Neo4j), SQL databases (Postgre
  
  SQL, MySQL), No
  
  SQL databases (Mongo
  
  DB, Cassandra), and vector databases
• Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing

• Experience with data governance, data security, and compliance best practices
• Familiarity with big data technologies such as Hadoop, Spark, or Kafka
• Experience with data warehousing concepts and tools
• Continuous learning mindset to stay abreast of cutting‑edge data engineering and AI advancements
• Understanding of machine learning concepts and their implications for data infrastructure
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross‑functional teams
• Ability to translate complex data requirements into actionable engineering solutions

An active Top Secret SCI with Polygraph security clearance is required for this position.

$ - $

Medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays.

Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.