Sr. Data Engineer; OBI Advanced Analytic Method Augmentation

Sr. Data Engineer (OBI Advanced Analytic Method Augmentation) - (2705)

Job Title

Sr. Data Engineer (OBI Advanced Analytic Method Augmentation)

Location

NCR, US (Primary)

Category

Job Type

Full-Time

Staff

Education

Master's Degree

Travel

Security Clearance Required

TS/SCI with CI Polygraph

Job Description

Prescient Edge is seeking a Sr. Data Engineer (OBI Advanced Analytic Method Augmentation) to support a federal government client.

Please note that the availability of this position is contingent upon contract award.

At Prescient
Edge , we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:

• A competitive salary with performance bonus opportunities.
• Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
• A substantial retirement plan with no vesting schedule.
• Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
• A positive work environment where employees are respected, supported, and engaged.

• Designs, Implements, and Operates data management systems for intelligence needs.
• Designs how data will be stored, accessed, used, integrated and managed by different data regimes and digital systems.
• Works with data users to determine, create, and populate optimal data architectures, structures, and systems.
• Plans, designs, and optimize data throughput and query performance.
• Participates in the selection of backend database technologies (eg. SQL, No
  
  SQL, HPC, et.c) their configuration utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness.
• Manage complex, long-term projects involving design, development, and installation of new information systems.
• Performs technical studies to ensure the design meets user requirements, Develops, integrates, and installs data management capabilities and databases.
• Collaborate with team members to develop or refine resilient and scalable extract, transform, load (ETL) pipelines using industry-standard tools and frameworks (e.g., Apache NiFi) to support and enable data acquisition, normalization, enrichment, and delivery across enterprise systems and platforms.
• Collaborate with team members to ensure ETL pipelines operate in accordance with security controls and rules, SLA requirements, and evolving data architecture needs.
• Collaborate with team members to develop, implement, and maintain Graph
  
  QL APIs to enable flexible and" efficient access and aggregation of data across distributed sources Designs data management capabilities, data integration solutions, and databases to ensure optimization, efficiency, and sustained operations.
• Performs systems analysis and feasibility studies to define concepts and design specifications for new or existing databases and content management solutions.
• Collaborate with team members to design, implement, and maintain scalable, performant relational and non-relational database solutions (e.g., Postgre
  
  SQL) to support ingestion, storage, retrieval, and analytics of data across enterprise systems.
• Conducts testing and promotes the integration of new databases within the existing IT infrastructure.
• Discovers sources of redundancy and designs solutions for efficient integration or consolidating these sources to reduce costs of storage and maintenance, and to provide consistency to the enterprise.
• Creates test plans and scenarios and executes and documents database test activities (i.e., component, integration, systems, compatibility/interface, user acceptance, and performance/stress tests).
• Conducts operational readiness testing and transitional user support.
• Conducts monitor services and upgrades data services, content management systems, and databases.
• Produces technical data and reporting outlining the performance characteristics of specified databases and data services in the DIA infrastructure.
• Conducts analysis of databases and system reports to ensure optimal performance.
• Develops disaster recovery planning to ensure data and access reliability and database integrity during crisis.
• Analyzes, evaluates and provides recommendations and associated artifacts (e.g., OV/SV-I s, reference models, integration plans and patterns) on new, current, and planned data service, data management and database technologies and architecture based on performance, cost, and security requirements.
• Conducts assessments of current trends and determines the impact of' emerging technologies upon the existing infrastructure.
• Analyzes, evaluates and provides recommendations for current and planned programmatic solutions and capabilities to manage, organize, and transform data outside of databases to ensure unstructured data integrity, security, access, and formats.
• Identify and leverage containerization capabilities (e.g.,…