Data Engineer Intermediate

SecuriGence•Arlington, VA

4d•Onsite

About The Position

The Data Engineer Intermediate will serve as a senior technical expert responsible for architecting and implementing the data infrastructure that powers critical DARPA operational missions. This role requires translating complex data requirements from end-users, data scientists, and mission operators into secure, scalable, and high-performance data solutions. You will be responsible for the full lifecycle of data engineering—from building robust ETL/ELT pipelines and managing data warehouses in GovCloud environments to ensuring data integrity and compliance with stringent DoD security protocols. The position involves direct engagement with mission stakeholders to ensure the data ecosystem is optimized for advanced analytics, machine learning, and timely decision-making in high-stakes environments.

Requirements

Bachelor’s degree in computer science, Engineering, Information Systems, or a related technical field.
5+ years of progressive experience in data engineering, with a significant portion of that time spent in a DoD, IC, or other federal agency environment.
Demonstrated experience leading the design and architecture of complex, large-scale data solutions from requirements gathering to deployment.
Proven track record of mentoring junior engineers and providing technical guidance to the team.
Extensive hands-on experience building and optimizing data pipelines in government cloud environments (AWS GovCloud, Azure Government) and on-premises classified networks.
Deep experience handling, processing, and securing data across various classification levels (CUI, Secret, TS/SCI).
IAT/IAM Level II or III Certification.
Active Top Secret with the ability to obtain TS/SCI clearance

Nice To Haves

A master’s degree desired.
Successfully pass background and drug screening
Strong proficiency in programming languages such as Python, Java, or Scala.
Expertise with big data technologies such as Spark, Hadoop, and Kafka.
Knowledge of data pipeline and workflow management tools like Airflow.
Deep understanding of database systems (SQL and NoSQL), data warehousing concepts, and data modeling in a secure context.

Responsibilities

Design, build, and maintain secure, scalable, and reliable data pipelines within DoD-compliant environments.
Develop robust ETL/ELT processes to ingest, transform, and load data from diverse and often classified sources, ensuring data integrity and proper handling.
Implement data quality checks and monitoring to guarantee the accuracy and availability of mission-critical data.
Build and manage data infrastructure in DoD cloud environments (e.g., AWS GovCloud, Azure Government) and on-premises classified networks.
Design and implement data warehousing, data lakes, and data models that are optimized for performance and security in a high-stakes environment.
Implement security controls, data governance, and access management compliant with DoD policies, STIGs (Security Technical Implementation Guides), and data classification levels.
Collaborate with intelligence analysts, data scientists, and mission stakeholders to understand their data requirements and deliver effective solutions.
Create and maintain comprehensive technical documentation for data architectures, pipelines, and processes in accordance with DoD standards.
Automate manual processes and optimize data delivery to improve the efficiency and effectiveness of mission support operations.
Other duties as assigned.