Senior Data Scientist
Reads like a Data Engineer role: pipelines and data infrastructure.
Annapolis Junction, MD
- Pay
USD 150,000–210,000/year — pay source
Salary Range USD $150,000.00 - USD $210,000.00 /Yr.The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Overview Eager to join a team where your skills are valued, your growth is nurtured, and your impact is profound? Look no further than Markon, a premier consulting firm deeply dedicated to advancing our nation's most critical missions.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingBuild and maintain scalable data pipelines for enterprise AI applications
Develop high-performance parsers for extremely large and complex datasets
Implement and manage graph, SQL, NoSQL and vector database systems
Optimize data access and retrieval for AI/ML engineers and data scientists
Ensure data quality, integrity, and security across data 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 database
optimize data access and retrieval for AI models
Ensure data quality, integrity, and security across all data storage solutions
What you’ll bring
All qualificationsCore 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
- 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
- Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing
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
- Understanding of machine learning concepts and their implications for data infrastructure
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
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
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
Understanding of machine learning concepts and their implications for data infrastructure
Education & alternatives
- Active TS/SCI W/ 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)
Tools in this posting
- Java
- Python
- Scala
- SQL
- AWS
- Azure
- Hadoop
- Kafka
- MongoDB
- MySQL
- Neo4j
- NoSQL
- PostgreSQL
- Spark
Source — Tool mentions in context
- 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
- Develop high-performance data parsers for extremely large and complex datasets - Implement and manage various database systems, including graph, SQL, NoSQL, and vector database - Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize data access and retrieval for AI models
- 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
- 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 Preferred 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
Posting record
Report an errorOpen 3 monthsWe first saw this posting 113 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
- Jul 9, 2026 · 113 days ago
- Recorded sightings
- 212
- Last seen by us
- Oct 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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- Check the listed location, eligibility and core experience before starting.
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Job description
Description
PLEX Solutions, Part of Markon, is looking for a Sr. Data Scientist to support a program in the Annapolis Junction, MD area.
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 database
- 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
Qualifications
- Active TS/SCI W/ 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
Preferred 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
- 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
Salary Range
USD $150,000.00 - USD $210,000.00 /Yr.The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.Overview
Eager to join a team where your skills are valued, your growth is nurtured, and your impact is profound? Look no further than Markon, a premier consulting firm deeply dedicated to advancing our nation's most critical missions.
At Markon, we don't just offer jobs – we offer opportunities for personal and professional transformation. Empowering our employees to lead, innovate, and excel, we foster an environment where new ideas are not just welcomed but celebrated. As a perennial Washington Post Top Workplace, we prioritize the well-being and success of our team members, ensuring they can bring their best selves to work.
Headquartered in Falls Church, Virginia, Markon has garnered national recognition for our unwavering dedication to excellence in serving the intelligence community, as well as federal civilian and defense agencies. Our growing reach extends across 17 states, 116 countries, and 5 continents, where our team of dynamic professionals collaborates to deliver unparalleled program and project management services.
Markon values people and the tremendous impact each individual can make – which is why we’re consistently recognized as one of the best places to work in federal government consulting. Here, you can help solve the nation’s most important challenges, surrounded by colleagues who help you grow, advance, and succeed. We are deeply dedicated to what matters – bringing out the best in each other to advance our clients’ missions.Join us and make a meaningful impact.
Markon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, national origin, age, protected veteran status, or disability status. This job posting will remain open until the position is filled.
Benefits Offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Training and Tuition Assistance, Paid Time Off, and Holidays.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary Range USD $150,000.00 - USD $210,000.00 /Yr.The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Overview Eager to join a team where your skills are valued, your growth is nurtured, and your impact is profound? Look no further than Markon, a premier consulting firm deeply dedicated to advancing our nation's most critical missions.
- Location & working pattern
Annapolis Junction, MD
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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