Data Scientist (TS/SCI w/ Poly)

SixGen, Inc. • Columbia, MD

1d • Onsite

About The Position

SIXGEN's mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape. In this position, you’ll provide meaningful support to our customer’s missions and operations. You’ll work alongside a team of highly skilled operators who are dedicated to using innovative processes, tools, and techniques to get things done.

Requirements

• 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
• Active TS/SCI clearance with Polygraph

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• Employer-paid health insurance premiums (medical, dental, vision) for you and your family
• Employer-paid short/long term disability insurance and basic life/AD&D insurance
• 401K with a 4% employer contribution
• Professional development reimbursement options available (training, certification, education, etc)
• Flexible and remote work policies for most positions
• Flexible PTO and holiday schedule

What This Job Offers

• Job Type: Full-time
• Career Level: Senior