Exploitation Specialist / Data Scientist, Expert

Avalore, LLC•Springfield, VA

4h•$210,000 - $250,000•Onsite

About The Position

This role is contingent upon award. Avalore, LLC is seeking an Exploitation Specialist / Data Scientist, Expert to support Department of War (DoW) customers in Springfield, VA. The Exploitation Specialist / Data Scientist, Expert shall support the maintenance and implementation of the data architecture for all Program data. This position requires experience with databases, cloud architectures, and compliance with data standards. This position is responsible for maintaining data backend workflows that allow for data operations across security domains and across systems. Additional activities include: Create the necessary infrastructure to store and process data related to emergent sensors and platforms. This includes creation of any database tables and schemas, establishing relevant data health alerts, and the setup of data pipelines to support Extract, Transform, and Load (ETL) of all data related to the emergent sensors Develop workflows to enable API-based movement of data related to the emergent sensors between platforms. Ensure all emergent sensor data adheres to Government directed data schemas, formats, and governance requirements Develop, construct, test, and maintain databases and large-scale, and complex data processing systems Clean, prepare, and transform QM data to support the building of geospatial data pipelines that create a curated view of the content for IC consumption Apply knowledge of scripting tools, programming languages, standards, and software packages to build the data pipelines that enable the consumption of data supporting QM's mission needs Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities Ensure all data activities conform to data governance policies to include: data lifecycle, data structure/schema definitions, data formats (JSON, parquet, XML, CSV, etc.), and access controls. Exhibit proficiency in working with cloud architectures, maintaining SQL and no-SQL databases, programming APis, and data version control management Support cross-domain solutions using enterprise tooling Manage the generation, approval, and population of data into databases, ensuring that all data complies with security regulations and satisfies customer requirements.

Requirements

TS/SCI with CI Poly Eligibility
4+ years of experience working with SQL or NoSQL databases and cloud architectures
Experience leveraging APis to query systems and migrate data
Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.
Experience with programming languages such as Python, JavaScript, or Java
Experience developing, sustaining, and monitoring operational data pipelines supporting multiple data formats and interfaces.

Nice To Haves

Experience working with NGA IT enterprise solutions (e.g., NGA CORE, NGA MLOps), Government Authority to Operate (ATO) processes, and Government Non-Person Entity (NPE) certificates.
Experience implementing processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise.
Experience developing dynamic visualizations to monitor availability, currency and volumetrics of operational data pipelines.

Responsibilities

Support the maintenance and implementation of the data architecture for all Program data.
Maintain data backend workflows that allow for data operations across security domains and across systems.
Create the necessary infrastructure to store and process data related to emergent sensors and platforms.
Develop workflows to enable API-based movement of data related to the emergent sensors between platforms.
Ensure all emergent sensor data adheres to Government directed data schemas, formats, and governance requirements.
Develop, construct, test, and maintain databases and large-scale, and complex data processing systems.
Clean, prepare, and transform QM data to support the building of geospatial data pipelines that create a curated view of the content for IC consumption.
Apply knowledge of scripting tools, programming languages, standards, and software packages to build the data pipelines that enable the consumption of data supporting QM's mission needs.
Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities.
Ensure all data activities conform to data governance policies.
Exhibit proficiency in working with cloud architectures, maintaining SQL and no-SQL databases, programming APis, and data version control management.
Support cross-domain solutions using enterprise tooling.
Manage the generation, approval, and population of data into databases, ensuring that all data complies with security regulations and satisfies customer requirements.