Job Requirements
Annapolis Junction, MD
Top Secret/SCI Polygraph
Senior Level Career (10+ yrs experience)
$150,000 - $210,000
Job Description
PLEX Solutions, Part of Markon, is looking for a Sr. Data Scientist to support a program in the Annapolis Junction, MD area.
Responsibilities
Qualifications
Preferred Qualifications:
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
group id: 10304679
