Data Scientist - Expert
GRVTY, LLC
Falls Church, United States of America
12 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Falls Church, United States of America
Tech stack
Java
JavaScript
Geographic Information Systems
API
Databases
Data Architecture
Data Cleansing
Data Governance
Data Infrastructure
ETL
Data Migration
Data Structures
Database Schema
Database Storage Structures
Information Lifecycle Management
JSON
Python
Metadata Standards
NoSQL
Operational Data Store
Standard Sql
DataOps
Scaled Agile Framework
XML
Parquet
Data Processing
Scripting (Bash/Python/Go/Ruby)
Enterprise Software Applications
Cloud Platform System
Backend
Data Analytics
Machine Learning Operations
Api Design
Data Pipelines
Programming Languages
Job description
GRVTY is seeking a motivated and experienced Data Scientist to support the maintenance and implementation of data architecture across all program data. The ideal candidate brings deep expertise in databases, cloud architectures, and data governance, with a passion for building and sustaining the backend workflows that power data operations across security domains and systems. This is a mission-driven opportunity to deliver world-class data infrastructure in direct support of the DoW and Intelligence Community.
What You'll be Owning
- Create and maintain the infrastructure necessary to store and process data related to emergent capabilities, including:
- Database tables and schemas
- Data health alerts and monitorin
- ETL pipelines supporting all emergent capabilities data
- Develop workflows to enable API-based movement of emergent sensor data between platforms
- Ensure all emergent sensor data adheres to customer-directed:
- Data schemas and formats
- Governance requirements
- Develop, construct, test, and maintain databases and large-scale complex data processing systems
- Clean, prepare, and transform data to support the building of geospatial data pipelines that create a curated view of content for IC consumption
- Apply scripting tools, programming languages, standards, and software packages to build data pipelines enabling consumption of data
- Support data analytics, data cleansing, analyst workflow efficiencies, and ETL transformation capabilities
- Ensure all data activities conform to data governance policies, including:
- Data lifecycle management
- Data structure and schema definitions
- Data formas (JSON, Parquet, XML, CSV, etc.)
- Access controls
- Support cross-domain solutions using customer enterprise tooling
- Manage the generation, approval, and population of data into databases, ensuring:
- Compliance with security regulations
- Satisfaction of customer requirements
- Conduct regular Quality Control (QC) and monitor content to ensure alignment with existing data standards and requirement specifications
- Assess and report the current state of data holdings compliance in both written and oral forms
- Populate, manage, and maintain metadata standards for datasets
- Monitor data and standards changes and adjust data architecture to remain in compliance
- Support the use and development of cloud computing systems and perform automated analytics
Requirements
- Active TS/SCI Clearance with the ability to obtain a CI/Poly
- 4+ years of experience working with SQL or NoSQL databases and cloud architectures
- Experience leveraging APIs to:
- Query systems
- Migrate data between platforms
- Experience with programming languages including:
- Python
- JavaScript
- Java
- Experience developing, sustaining, and monitoring operational data pipelines supporting:
- Multiple data formas and system interfaces
- Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences
What Would be Nice to Have
- 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 (SAFe)
- Experience developing dynamic visualizations to monitor availability, currency, and volumetrics of operational data pipelines