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Data Scientist (TS/SCI w/ Poly)

Reads like a Data Engineer role: pipelines and data infrastructure.

Pay
USD 180,000–220,000/yearAnnual period assumed — pay source
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:
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Work setting
Not stated
Employment
Full-time — employment source
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
Read the full posting

Before you apply

Work authorization
Citizens onlyActive TS/SCI with Polygraph required

What you’ll work on

Full posting
  • Build and maintain scalable data pipelines for enterprise AI applications

  • Develop high-performance parsers for extremely large, complex datasets

  • Implement and manage graph, SQL, NoSQL and vector database systems

  • Optimize data access and retrieval for AI models with AI/ML engineers

  • Ensure data quality, integrity and security across storage solutions

From the employer’s posting
Develop, and maintain robust and scalable data pipelines for enterprise AI applications
Develop high-performance data parsers for extremely large and complex datasets
Implement and manage various database systems, including graph, SQL, NoSQL, and vector
Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize
Ensure data quality, integrity, and security across all data storage solutions

What you’ll bring

All qualifications

Core experience

  • 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
  • Proven experience with corporate dataflows and developing data parsers for extremely large datasets
  • Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing
  • Demonstrated expertise in designing, developing, and optimizing data pipelines for large-scale
  • SQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and

Preferred experience

  • 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
Qualification wording
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
Proven experience with corporate dataflows and developing data parsers for extremely large datasets
Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing
Demonstrated expertise in designing, developing, and optimizing data pipelines for large-scale
SQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and
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
Education & alternatives
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,

Benefits in the posting

Full benefits wording
  • 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 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
  • Flexible and remote work policies for most positions
  • Flexible PTO and holiday schedule
  • OUR COMMITMENT

From the employer’s posting.

Apply at SixGen

Posting record

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Open 5 monthsWe first saw this posting 164 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 2, 2026164 days ago
Recorded sightings
94
Last seen by us
Nov 13, 2026
Employer says posted
May 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$180K–$220K against $127K–$190K, the middle half of what similar US postings state.

From 2,239 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 164

Up longer than most. Similar jobs usually come down between day 6 and day 56.

From 13,630 similar postings that came down. Coming down is not always a hire.

SixGen is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • Scala
  • SQL
  • AWS
  • Azure
  • Hadoop
  • MongoDB
  • MySQL
  • Neo4j
  • NoSQL
  • PostgreSQL
  • Spark
  • Kafka
Where the posting names them
- 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
- 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)
- Develop high-performance data parsers for extremely large and complex datasets - Implement and manage various database systems, including graph, SQL, NoSQL, and vector - databases
- 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
- vector databases - Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing - Active TS/SCI clearance with Polygraph
- 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
- 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

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 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

OUR COMMITMENT

SIXGEN is an Equal Opportunity Employer. We ensure that all applicants are considered for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, age, marital status, ancestry, projected veteran status, or any other protected group or class.

We are committed to fostering an inclusive culture that values diversity in our people, reflecting the communities we serve and our customer base. We strive to attract and retain a diverse talent pool and create an environment where everyone is empowered to be their authentic selves at work.

 

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Pay
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:
Location & working pattern

Columbia, MD

- Professional development reimbursement options available (training, certification, education, etc)​ - Flexible and remote work policies for most positions - Flexible PTO and holiday schedule
Work authorization

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