Data Engineer (Secret Clearance) — Secure, Scalable Pipelines

Amatriot Group, LLC; Norfolk (VA); On-site; USD 145,000 - 165,000; Full time

Job summary

Amatriot Group, LLC is seeking a Data Engineer to design, build, integrate, and sustain secure enterprise data solutions in a mission-critical environment. You will develop scalable data pipelines, integrate diverse data sources, and support cloud and on-premises platforms while collaborating with BI, cybersecurity, and infrastructure teams.

Required: 4+ years in data engineering, strong SQL and Python skills, experience with ETL/ELT, data modeling, and data quality.

Qualifications

• At least 4 years of relevant data engineering experience.
• 3+ years building, operating, or supporting production data pipelines.
• Proficiency in SQL and Python for data extraction, transformation, and validation.
• Experience with ETL/ELT concepts, data modeling, and data quality.
• Experience with cloud and on-premises data platforms; DoD environment familiarity.

Responsibilities

• Design, develop, test, deploy, and maintain scalable ETL/ELT pipelines.
• Integrate cloud and on-premises data platforms for secure data movement.
• Build data models, schemas, views, and curated data sets for analytics.
• Implement automated data quality checks, monitoring, and reconciliations.
• Collaborate with BI, cybersecurity, and program teams in an Agile/DevOps culture.
• Create technical documentation and runbooks; support incident response.

Skills

SQL

Python

ETL/ELT

Data modeling

Data quality

Cloud & on-prem

Agile/DevOps

Communication

Education

B.S. in Data Engineering or related field

Master's in related field

Experience may substitute for degree

Tools

PowerShell

Ansible

Azure Data Factory

Databricks

Job description

Amatriot Group, LLC is seeking a Data Engineer to design, build, integrate, and sustain secure enterprise data solutions in a mission-critical environment. You will develop scalable data pipelines, integrate diverse data sources, and support cloud and on-premises platforms while collaborating with BI, cybersecurity, and infrastructure teams.

Required: 4+ years in data engineering, strong SQL and Python skills, experience with ETL/ELT, data modeling, and data quality.