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Data Engineer - Mid

Quantico, VA, US • Posted 2 days ago • Updated 6 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Information Technology
Evaluation
Technical Support
Training
Analytics
Storage
Data Quality
Access Control
Auditing
Regulatory Compliance
Cyber Security
Data Governance
Collaboration
Artificial Intelligence
Machine Learning (ML)
Analytical Skill
Data Flow
Extract
Transform
Load
Computer Science
Information Systems
Data Science
Data Engineering
Database
SQL
Python
Java
Relational Databases
Microsoft SQL Server
Oracle
Data Warehouse
Data Security
Documentation
Communication
Security Clearance
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Cloud Computing
Big Data
Apache Spark
Apache Hadoop
Orchestration
Continuous Delivery
DoD

Summary

Overview

AMERICAN SYSTEMS is an employee-owned federal government contractor supporting national priority programs through our strategic solutions in the areas of Information Technology, Test & Evaluation, Program Mission Support, Engineering & Analysis, and Training.

Responsibilities

Position Description:
The Data Engineer - Mid designs, develops, and maintains scalable data pipelines, data models, and data services in support of CD&I analytics, experimentation, and AI/ML initiatives. The engineer will work closely with analysts, data scientists, and operational stakeholders to ensure that data infrastructure is reliable, secure, and aligned with USMC data strategy and enterprise architectures.

Responsibilities:

Design and implement robust processes for ingesting, transforming, and delivering data from multiple operational and enterprise systems.
Develop and optimize data models, schemas, and storage solutions (e.g., data warehouses, data lakes) to support analytic workloads.
Implement data quality, validation, and monitoring mechanisms to ensure accuracy, completeness, and timeliness.
Integrate data security, access control, and auditing in compliance with DoD/USMC cybersecurity and data governance policies.
Collaborate with data analysts, data scientists, and AI/ML teams to ensure data engineering solutions meet analytic and performance requirements.
Support the design and deployment of APIs or data services that provide secure, standardized access to data.
Document data architectures, data flows, and technical implementation details; support transition to operations and sustainment.
Troubleshoot and resolve data pipeline and infrastructure issues; recommend and implement improvements.

Qualifications

Required Qualifications:

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field.
3-5 years of experience in data engineering, database development, or similar technical role, with at least 2 years in a DoD/Federal enterprise environment.
Proficiency with SQL and at least one modern programming language (e.g., Python, Java).
Experience building and maintaining data pipelines and processes.
Experience with relational databases (e.g., SQL Server, Oracle) and familiarity with data warehousing concepts.
Understanding of data security and governance concepts within controlled environments.
Strong documentation and communication skills; ability to work with both technical and non-technical stakeholders.
Active TS/SCI Clearance

Desired Qualifications:

Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform, or DoD cloud equivalents).
Familiarity with big data or distributed processing technologies (e.g., Spark, Hadoop) and modern orchestration tools (e.g., Airflow).
Experience supporting USMC CD&I or other DoD headquarters/staff organizations.

EEO Statement

EEO Race/Sex/Disability StatVeteran Status

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL010594
Position Id: e2b1e97ceddef03b85d5a5e75baaab4b
Posted 2 days ago

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