Data Scientist (TS/SCI w/ Poly)
SixGen, Inc.
| Company | SixGen, Inc. |
| Category | Data & Analytics |
| Location | Columbia |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 7 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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.
POSITION OVERVIEW
Position: Senior Data Scientist Job Type: Full-time Location: Onsite, Ft. Meade, MD Clearance Requirements: Active TS/SCI with Polygraph required Work Schedule: 5 days per week onsite Travel Requirements: None Experience: 4+ years
WHAT YOU'LL DO
SIXGEN supports missions by serving government and commercial organizations as they overcome global cybersecurity challenges. 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.
KEY 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
REQUIRED QUALIFICATIONS
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
DESIRED QUALIFICATIONS
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
COMPENSATION & BENEFITS
$180,000-$220,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Additionally, SIXGEN offers top-tier benefits for full-time employees, including:
Employer-paid health insurance pre
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