Data Engineer II — Secret Clearance for AI/ML Data Platforms

Insight Global; Reston (VA); On-site; USD 120,000 - 190,000; Full time

Job summary

Insight Global is seeking a senior Data/ML Engineer in Reston, VA, with an active Secret clearance and a strong background in data engineering, ETL, and AI/ML production. The role requires experience with Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, and Kafka.

You will design, deploy, and maintain data architectures used for ML applications and communicate technical concepts to diverse stakeholders. The ideal candidate brings 7+ years of experience and a track record of building scalable

Qualifications

• Active Secret clearance or higher required.
• Minimum 7 years of relevant experience.
• BS in CS, IT management, engineering, or equivalent.
• Experience in Data/ML engineering and data analytics.
• Experience designing and deploying data solutions.
• Strong ability to communicate complex concepts to stakeholders.
• Experience with data architecture and AI/ML production.
• One or more cloud or AI/ML certifications.

Responsibilities

• Design, develop, and deploy data solutions.
• Maintain data architecture and services for AI/ML.
• Operationalize AI/ML models in production.
• Communicate with technical and non-technical stakeholders.
• Perform data analytics on program or system activities.
• Assess performance and optimize manual processes.

Skills

Secret clearance

Seven years

Data/ML engineering

ETL and data prep

Data architectures

AI/ML production

Strong communication

Cloud certifications

Education

Bachelor's degree or higher

Tools

Cloudera

DataBricks

Snowflake

NiFi

Python

SQL

Kafka

Job description

Insight Global is seeking a senior Data/ML Engineer in Reston, VA, with an active Secret clearance and a strong background in data engineering, ETL, and AI/ML production. The role requires experience with Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, and Kafka.

You will design, deploy, and maintain data architectures used for ML applications and communicate technical concepts to diverse stakeholders. The ideal candidate brings 7+ years of experience and a track record of building scalable