Senior Data Scientist TS/SCI CI POLY

Data Engineer

In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.

POSITION OVERVIEW: We are seeking a highly experienced and technically proficient Data Engineer to join our team, focusing on supporting AI development, deployment, and maintenance of AI applications at enterprise scale. This role requires a deep understanding of corporate dataflows, expertise in data modeling, developing data parsers for extremely large datasets, and familiarity with AI concepts in the context of data storage, access, and retrieval. The ideal candidate will be adept at deploying a wide variety of databases, including graph, SQL, NoSQL, and vector databases, and will play a crucial role in ensuring robust and scalable data infrastructure for our AI initiatives.

What You'll Be Doing:

• 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, NoSQL, 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

What Required Skills You'll Bring:

• Active TS/SCI with Polygraph
• Bachelor's degree in a relevant technical field with 8 years of experience; Master's degree in a relevant technical field with 5 years of experience; 4 years additional experience will be considered in lieu of degree
• Advanced proficiency in programming languages commonly used for data engineering (e.g., Python, Java, Scala)
• Demonstrated expertise in designing, developing, and optimizing data pipelines for large-scale enterprise environments
• Proven experience with corporate dataflows and developing data parsers for extremely large datasets
• Extensive experience with various database technologies including graph databases (e.g., Neo4j), SQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and vector databases
• Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing

What Desired Skills You'll Bring:

• 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

Security Clearance Requirement:

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

Salary Range: $125,100.00 - $225,200.00

We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle! 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.