Data Engineer, Lead (AI)

TL;DR

Data Engineer, Lead (AI): Designing and implementing data management systems for intelligence needs with an accent on data storage, access, integration, and management. Focus on optimizing data throughput and query performance, selecting backend database technologies, and optimizing the full data pipeline infrastructure.

Location: Onsite in Washington, D.C. or the greater National Capital Region (NCR).

Company

hirify.global is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity.

What you will do

• Plan, design, and optimize data throughput and query performance.
• Participate in the selection of backend database technologies (e.g., SQL, NoSQL, HPC, etc.), their configuration and utilization.
• Optimize the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data.

Requirements

• Must possess a TS/SCI clearance with a poly (or ability to obtain)
• Bachelor’s degree in a STEM field.
• Minimum of 3 years of experience conducting analysis using data engineering (an additional 4 years of experience may be substituted for the above education requirements).
• Demonstrable experience using various data engineering tools and technologies (SQL, NoSQL, HPC, etc.) and a thorough understanding of the ETL process.

Nice to have

• Current CI poly.
• Bachelor’s degree in data science, data engineering, computer science, mathematics, or another related field.
• At least 8 years of experience conducting analysis using data engineering, with at least a portion of experience within the last 2 years.
• Experience working creating products for Object Based Intelligence purposes.
• Experience within the DoW and/or US Intelligence Community.

Culture & Benefits

• hirify.global is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.