SMX · 1 day ago
Data Engineer, Jr. (5029) (TS/SCI) (Ft. Belvoir, VA)
Fort Belvoir, VA
Full-time
Onsite
New Grad, Entry Level
$12K/yr - $150K/yr
0+ years expSMX is seeking a Junior Data Engineer to assist in the development, operation, and sustainment of secure data pipelines that support mission-focused training and exercise activities. The role involves supporting data integration, automation, documentation, and compliance efforts while collaborating with project teams and stakeholders to ensure data availability and integrity.
Cloud ComputingCyber SecurityBig DataSoftwareInformation TechnologyAnalyticsCloud Data ServicesCloud SecurityIT Management
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Assist in the development and implementation of distributed data processing pipelines, including data connection, parsing, normalization, mapping, and enrichment under the guidance of senior engineers
Read, interpret, and modify basic scripts on Windows and UNIX systems to support tasks such as data parsing, process automation, and data fetching
Support the operation and maintenance of data processing pipelines to ensure they meet the availability and performance requirements of the platform
Perform secure programming practices by following established coding standards and assisting in the identification of potential flaws to mitigate vulnerabilities
Prepare and manage test data required to support training events and exercise scenarios, ensuring datasets are properly staged and configured
Work with integrated project teams and exercise planners to identify, curate, and manage data from various sources to meet specific training objectives
Assist users and stakeholders by serving as a point of contact for data-related issues that arise during training events and exercises
Help configure and troubleshoot data connections for a variety of sources across both on-premise and cloud environments, ensuring reliable data flow
Respond to stakeholder requests for data access and connectivity, working with them to gather requirements and document technical needs for new data integrations
Learn to operate tools and services in a hybrid infrastructure, gaining experience with both traditional systems and cloud platforms (e.g., AWS, Azure)
Update and maintain technical documentation such as System Design Documents (SDD), Standard Operating Procedures (SOPs), and Tactics, Techniques, and Procedures (TTPs)
Implement data management standards by complying with established requirements and specifications for data handling
Adhere to all data classification and handling requirements by implementing access controls and following security best practices
Follow agile methodologies as part of the system development life cycle (SDLC) and actively participate in team ceremonies
Qualification
Required
Active TS security clearance and eligibility for SCI and NATO read on prior to starting work
Bachelor's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with up to 2 years' experience as a software engineer or a data engineer
Up to 2 year experience with Python, Java, or other programming languages, e.g., in an academic or professional environment
Up to 2 year experience with Git repositories and CI/CD pipelines. Examples include but are not limited to GitHub and GitLab, e.g., in an academic or professional environment
Up to 2 year experience with distributed parallel streaming and batch data processing pipelines, e.g., in an academic or professional environment
Up to 2 year experience integrating with data SDKs / APIs and data analytics SDKs / APIs, e.g., in an academic or professional environment
Knowledge of database management systems, query languages, table relationships, and views
Skill in communicating in writing
Skill in communicating verbally
Preferred
Up to 2 years' experience as a data engineer
Up to 2 years' experience applying agile methodologies to the software development life cycle (SDLC)
1 year of experience developing, operating, and maintaining data processing pipelines in a classified environment
1 year of experience data mapping, modeling, enriching, and correlating classified data
1 year of experience with Python / PySpark
1 year of experience with Java / Java interface to Spark
1 year of experience with Palantir Foundry
Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments
Knowledge of cloud computing service models Software as Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS)
Knowledge of data security roles and responsibilities
Knowledge of database access application programming interfaces (APIs) (e.g., Java Database Connectivity [JDBC])
Knowledge of data administration and data standardization policies and standards
Knowledge of data operations (DataOps) processes and best practices
Skill in analyzing information from multiple sources
Skill in creating technical documentation
Skill in analyzing large data sets
Skill in collaborating with stakeholders
Certification at the IAM II level, e.g., Security+ CE, GSLC
Benefits
Health insurance
Paid leave
Retirement
Company
SMX
SMX is a provider of information technology (IT), services, and advanced engineering with a focus on Cloud Solutions.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Peter LaMontagne
Chief Executive Officer
Recent News
GlobeNewswire
2026-01-22
Company data provided by crunchbase