AWS Data Engineer for Cloud-Native AI & ML Solutions

Innovative Management Concepts, Inc.; Dahlgren (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k) match

Paid time off

Paid holidays

FSA

Dental insurance

Vision insurance

Health insurance

AD&D

Life insurance

Job summary

Innovative Management Concepts, Inc. (IMC) is seeking a cloud data engineer to design, build, and optimize data solutions in AWS for analytics, ML, and LLM initiatives.

Responsibilities include building ingestion pipelines, managing data stores, and enabling secure, scalable data workflows while complying with DoD security requirements and TS/SCI eligibility. Collaboration with data scientists and cybersecurity teams is essential.

Qualifications

• Bachelor’s degree in CS/related field.
• 3+ years in data engineering, data science, or related SDLC experience.
• 1+ years with AWS data services and analytics tools.

Responsibilities

• Design and optimize end-to-end cloud-native data solutions in AWS.
• Develop data ingestion, ETL, and data lifecycle workflows.
• Integrate structured and unstructured data from multiple sources.
• Support AI/ML infra, including dataset preparation and model-ready data.
• Implement security controls and DoD NIST 800-53 / Zero Trust.
• Collaborate with stakeholders and prepare documentation.

Skills

AWS

Python

ETL pipelines

Data warehousing

DoD TS/SCI eligibility

Education

Bachelor’s degree in computer science, data engineering, data science, computer engineering, or related field

Tools

AWS Glue

Amazon Redshift

Amazon Athena

SageMaker

Kinesis

Glue Data Catalog

RDS/Aurora

DynamoDB

Job description

Innovative Management Concepts, Inc. (IMC) is seeking a cloud data engineer to design, build, and optimize data solutions in AWS for analytics, ML, and LLM initiatives.

Responsibilities include building ingestion pipelines, managing data stores, and enabling secure, scalable data workflows while complying with DoD security requirements and TS/SCI eligibility. Collaboration with data scientists and cybersecurity teams is essential.