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Full Time Data Engineer Jobs in Washington (NOW HIRING)

Data Engineer

Quantico, VA · On-site

$121K - $145K/yr

Full-Time/Part-Time Full-Time Description RiVidium Inc. is seeking a Senior Data Engineer to support data-driven decision-making by collecting, transforming, and delivering high-quality data. This ...

Data Engineer

Chantilly, VA · On-site

$140K - $195K/yr

Seeking a Cloud Data Engineer to design, develop, and optimize scalable cloud-based data platforms ... UNAVAILABLEEmployment Type: FULL_TIME

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Chantilly, VA

$118K - $142K/yr

Data Engineer Location: Chantilly, VA Work Schedule: Full-Time, Onsite Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP) Employment Type: W-2 Position Overview We are seeking a ...

Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Reston, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Fort Belvoir, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Fort Belvoir, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Reston, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Washington, DC · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Washington, DC · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Showing results 21-40

Full Time Data Engineer information

What is the difference between Full Time Data Engineer vs Data Analyst?

AspectFull Time Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related; often certifications in cloud or data toolsBachelor's in Statistics, Math, or related; sometimes certifications in analytics tools
Work EnvironmentTech teams, data infrastructure projects, cloud platformsBusiness units, reporting, data visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, retail, consulting
Common Search & Comparison IntentUnderstanding roles, skills, and career pathsJob responsibilities, tools, and skills needed

Full Time Data Engineers focus on building and maintaining data infrastructure, pipelines, and systems, often requiring programming and cloud skills. Data Analysts interpret data, create reports, and visualize insights, typically using analytics tools. Both roles are essential in data-driven organizations but differ in technical depth and focus areas.

What are the most commonly searched types of Data Engineer jobs in Washington?

The most popular types of Data Engineer jobs in Washington are:

What are popular job titles related to Full Time Data Engineer jobs in Washington?

For Full Time Data Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Full Time Data Engineer jobs in Washington look for?

The top searched job categories for Full Time Data Engineer jobs in Washington are:

What cities in Washington are hiring for Full Time Data Engineer jobs?

Cities in Washington with the most Full Time Data Engineer job openings:

Infographic showing various Full Time Data Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

RiVidium, Inc

Quantico, VA • On-site

$121K - $145K/yr

Full-time

Re-posted 28 days ago


Job description

Full-Time/Part-Time
Full-Time
Description
RiVidium Inc. is seeking a Senior Data Engineer to support data-driven decision-making by collecting, transforming, and delivering high-quality data. This role is responsible for designing, building, securing, and optimizing scalable data processing systems with a strong emphasis on performance, reliability, security, and compliance.
Key Responsibilities:
  • Design, build, and maintain scalable data pipelines for structured and unstructured data
  • Develop, optimize, and manage ETL/ELT processes and data ingestion platforms, including cloud-based solutions
  • Build and maintain data warehouse environments and support data modeling efforts
  • Ensure data quality, integrity, security, and compliance across all data systems
  • Collaborate with data scientists, data architects, and stakeholders to deliver data solutions
  • Support and operationalize machine learning models and analytics workflows
  • Develop and maintain APIs for data access and integration
  • Monitor and troubleshoot data infrastructure to ensure performance and reliability
  • Implement automation using metadata management and modern data engineering practices
  • Provide ad hoc data analysis and support self-service data access for stakeholders
  • Design and maintain reporting and dashboarding infrastructure
  • Promote best practices in data engineering, governance, and data lifecycle management
  • Support data tagging, metadata management, and enterprise data governance initiatives
  • Assist in developing data-related policies, documentation, and system requirements
  • Research and recommend improvements to modernize data architecture, including cloud adoption

Minimum Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related quantitative field
    • Equivalent work experience may be considered in lieu of a degree
  • Minimum of ten (10) years of IT experience, including at least six (6) years in data engineering or related disciplines
  • Strong experience designing and optimizing data pipelines and architectures
  • Expertise in ETL/ELT processes, data integration, and data warehousing concepts
  • Proficiency in SQL and programming languages such as Python, Java, R, or Scala
  • Experience working with large, complex, and heterogeneous datasets
  • Strong understanding of data modeling, schema design, and metadata management
  • Experience with cloud platforms (AWS, Azure, GCP) and hybrid environments
  • Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines
  • Familiarity with message queuing, stream processing, and real-time data integration technologies
  • Strong analytical, problem-solving, and communication skills

Core Competencies:
  • Ability to design and optimize scalable, high-performance data systems
  • Strong collaboration skills across technical and business teams
  • Expertise in data governance, data quality, and data security practices
  • Ability to translate business requirements into technical data solutions
  • Adaptability in working with evolving technologies and complex environments

Clearance Requirement:
  • TS/SCI clearance required at contract start

Preferred Qualifications:
  • Experience supporting Department of Defense (DoD), Department of Navy (DoN), or law enforcement environments
  • Familiarity with federal data governance and compliance requirements
  • Experience with data visualization tools such as Tableau, Power BI, or Qlik
  • Cloud certifications (AWS, Azure, or GCP)
  • Experience with NoSQL, Hadoop, or big data ecosystems
  • Experience collaborating with data science teams to operationalize machine learning models

About the Organization
Established in 2008, RiVidium, Inc. (dba TripleCyber) is a VA-Verified SDVOSB and an SBA-Certified 8(a) company. To prepare our clients for the future, RiVidium has balanced all parts of our organization to attract the finest employees in order to 'Strive to be the missing element defining tomorrow's technology'. RiVidium keeps pace and surpasses its competitors by meeting challenges of advancements in Logistics, Human Capital, Cyber, Intelligence & Technology.
EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. If you need a reasonable accommodation for any part of the employment process, please contact Human Resources (HR) at hr@rividium.com.
This position is currently accepting applications.