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Data Operations Assistant Jobs in Virginia (NOW HIRING)

Responsibilities include but are not limited to: * Assist in the creation of the necessary data ... Experience developing and sustaining operational data pipelines supporting multiple data formats ...

Journeyman Data Architect

Alexandria, VA · On-site

$68.25 - $87.75/hr

... operational and strategic requirements into scalable, production-ready solutions. You will ... the platform. * Assist in defining and maintaining enterprise data architecture standards ...

Journeyman Data Architect

Alexandria, VA

$68.25 - $87.75/hr

... operational and strategic requirements into scalable, production-ready solutions. You will ... the platform. * Assist in defining and maintaining enterprise data architecture standards ...

Journeyman Data Architect

Alexandria, VA

$68.25 - $87.75/hr

... operational and strategic requirements into scalable, production-ready solutions. You will ... the platform. * Assist in defining and maintaining enterprise data architecture standards ...

Journeyman Data Architect

Alexandria, VA · On-site

$68.25 - $87.75/hr

... operational and strategic requirements into scalable, production-ready solutions. You will ... the platform. * Assist in defining and maintaining enterprise data architecture standards ...

As we help each of our new employees make adjustments to our operational methods, we make sure ... Armison Tech is looking for a candidate skilled in data visualization and analysis to assist the ...

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration ... assist with the restoration of services. Nightwing is seeking a Cyber Action Officer to support ...

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration ... assist with the restoration of services. Nightwing is seeking a Cyber Action Officer to support ...

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration ... Assist with the training of newly hired search team members, as requested Collaborate with ...

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Showing results 1-20

Data Operations Assistant information

What are the key skills and qualifications needed to thrive as a Data Operations Assistant, and why are they important?

To thrive as a Data Operations Assistant, you need strong analytical skills, attention to detail, and proficiency with data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with database systems, Microsoft Excel, and data management software such as SQL or CRM platforms is typically required. Excellent organizational abilities, problem-solving skills, and effective communication help you stand out in this position. These skills and qualities are crucial for ensuring data accuracy, supporting business operations, and facilitating informed decision-making.

What are some common challenges faced by Data Operations Assistants, and how can they be overcome?

Data Operations Assistants often encounter challenges such as managing large volumes of data with tight deadlines, ensuring data accuracy, and coordinating with multiple departments for seamless data flow. To overcome these, it’s important to develop strong organizational and communication skills, become proficient in data management tools, and establish clear processes for data validation. Regular collaboration with team members and proactive troubleshooting can help minimize errors and improve workflow efficiency.

What are Data Operations Assistants?

Data Operations Assistants support the management, processing, and quality control of data within an organization. They handle tasks such as data entry, updating records, verifying accuracy, and assisting with data reporting. Their role helps ensure that business data is accurate, up-to-date, and easily accessible for analysis or decision-making. They often work closely with data analysts, IT teams, or operations managers to maintain data integrity and streamline workflows.

What is the difference between Data Operations Assistant vs Data Analyst?

AspectData Operations AssistantData Analyst
Required CredentialsAssociate degree or relevant certificationsBachelor's degree in data-related fields
Work EnvironmentData entry, data management, support rolesData interpretation, reporting, analysis
Employer & Industry UsageBusinesses needing data support, administrative tasksOrganizations analyzing data for insights
Search & Comparison IntentUnderstanding support roles in data managementAnalyzing data to inform decisions

The Data Operations Assistant primarily handles data entry, management, and support tasks within organizations, often requiring an associate degree or relevant certifications. In contrast, a Data Analyst focuses on analyzing data, creating reports, and deriving insights, typically holding a bachelor's degree. While both roles work with data, the Assistant supports data workflows, whereas the Analyst interprets data for strategic purposes.

What are the most commonly searched types of Data Operations jobs in Virginia? The most popular types of Data Operations jobs in Virginia are:
What are popular job titles related to Data Operations Assistant jobs in Virginia? For Data Operations Assistant jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Operations Assistant jobs in Virginia look for? The top searched job categories for Data Operations Assistant jobs in Virginia are:
What cities in Virginia are hiring for Data Operations Assistant jobs? Cities in Virginia with the most Data Operations Assistant job openings:
Infographic showing various Data Operations Assistant job openings in Virginia as of May 2026, with employment types broken down into 75% Full Time, 19% Part Time, and 6% Contract. Highlights an 100% In-person job distribution.

Data Engineer (AI) Senior Engineer (5143) (TS/SCI) (Ft. Belvoir, VA - Nolan Bldg)

SMX

Fort Belvoir, VA • On-site

$165K - $180K/yr

Full-time

Medical, Retirement, PTO

Posted 13 days ago


Job description

SMX is seeking a Data Engineer (AI) Senior Engineer to contribute to the development and sustainment of data pipelines and data services that enable AI/ML capabilities within Army Intelligence mission environments. This role focuses on preparing transforming, and delivering reliable data to support model training, inference, and analytic workflows. The Data Engineer (AI) Senior Engineer partners with AI/ML engineers, analysts, platform teams, and mission leadership to align data capabilities with operational outcomes, security, and governance.
This is a full-time onsite position in Ft. Belvoir, VA.
Essential Duties & Responsibilities
Data Pipeline Development & Maintenance
  • Build, maintain, and optimize ETL/ELT pipelines that supply structured and unstructured data to AI/ML workflows.
  • Implement data ingestion, cleansing, transformation, normalization, and feature preparation steps according to established methods.
  • Ensure pipelines are reliable, repeatable, and well-documented.
Data Quality, Validation & Monitoring
  • Perform data profiling, validation, and integrity checks to ensure high-quality inputs to AI/ML models.
  • Monitor data pipeline performance and data flow health; document and escalate issues to senior engineers.
  • Contribute to improving data observability and traceability.
Deployment & Monitoring
  • Employ Agile methodologies for project management.
  • Manage deployment pipelines, containerization, and CI/CD workflows for AI services in the cloud to ensure reproducible data operations.
  • Implement robust monitoring, observability, and performance tracking for AI-supporting data systems.
Training & Support
  • Provide training and technical support to military personnel to ensure effective adoption and utilization of AI technologies.
  • Document integration architecture, processes, and operational dependencies, to include data structures, transformation logic, data lineage, pipeline workflows, and operational procedures.
Compliance & Security
  • Ensure compliance with military security, privacy and governance standards for AI-supporting data systems.
  • Ensure processes and procedures leverage changes in data engineering and AI/ML governance best practices.

Required Skills, Experience & Education
Security
  • Active TS security clearance and eligible for SCI and NATO read-on prior to starting work
  • Meet all requirements to receive a privileged user account on a TS/SCI information system (e.g. Army Cloud Computing Service Provider) prior to starting work. The requirements are currently defined in DoDD 8140.01.
  • Security+ or related DoDD 8140-relevant certification (or ability to obtain within 6 months of hire)

Education and Experience
  • Master's degree in Computer Science, Data Science, Engineering, or a related technical field and 3+ years of experience in data engineering or large-scale data processing in an AI/ML-supporting capacity, or
  • Bachelor's Degree and in Computer Science, Data Science, Engineering, or a related technical field and 7+ years of experience in data engineering or large-scale data processing in an AI/ML-supporting capacity.

Technical Expertise
  • Hands-on experience with data engineering or large-scale data processing.
  • Experience with programming and/or scripting languages (e.g., Python, SQL, Bash).
  • Familiarity with cloud platforms, data storage systems, and workflow orchestration tools.
  • Understanding of containerization and CI/CD principles.

National Security Operations Knowledge
  • Familiarity with military operations, intelligence workflows, and digital platforms.
  • Ability to work within the constraints of military security and compliance standards.

Problem-Solving & Communication
  • Able to work closely with model developers, analysis, and platform engineers to understand data requirements and operational context.
  • Strong problem-definition and solution-development skills to troubleshoot and optimize data operations in support of AI/ML systems.
  • Excellent communication and interpersonal skills for effective collaboration with diverse teams.
  • Support new team member onboarding and assist with training materials as needed.

Desired Skills/Experience
  • Background in data privacy, ethical AI deployment, or regulated industries
  • AWS Certified Security - Specialty or equivalent cloud certifications

Application Deadline: June 22, 2026
#CJPOST
#LI-onsite
The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
The proposed salary for this position is:
$165,000-$180,000 USD
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).