ZipRecruiter

Log In

1

Data Warehouse Engineer Jobs in Virginia (NOW HIRING)

Rividium Inc

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

... warehouse environments and support data modeling efforts • Ensure data quality, integrity ... engineering practices • Provide ad hoc data analysis and support self-service data access for ...

Halvik

Data Architect

Arlington, VA · Hybrid

$73.25 - $94.25/hr

The architect will lead the design of data lakes, data warehouses, and visualization services for that data. The architect will work with data/cloud engineers to design data pipelines to ingest ...

Schnabel

Data Engineer

Sterling, VA · On-site

$105K - $135K/yr

Schnabel is seeking a Data Engineer to join our team in Sterling, VA or Denver, CO. This role has ... Support the creation of a centralized enterprise data warehouse / Lakehouse * Perform data ...

Schnabel

Data Engineer

Sterling, VA · On-site

$105K - $135K/yr

Schnabel is seeking a Data Engineer to join our team in Sterling, VA or Denver, CO. This role has ... Support the creation of a centralized enterprise data warehouse / Lakehouse * Perform data ...

Schnabel

Data Engineer

Sterling, VA · On-site

Schnabel is seeking a Data Engineer to join our team in Sterling, VA or Denver, CO. This role has ... Support the creation of a centralized enterprise data warehouse / Lakehouse * Perform data ...

Data Machines

Data Engineer with Security Clearance

Reston, VA · On-site

$119K - $143K/yr

Support the creation and optimization of data models in data warehouses (e.g., Postgres) * Monitor ... Collaborate with data analysts, data scientists, and software engineers to understand data needs

Amyx, Inc.

Sr. Data (cProbe) Engineer

Fort Belvoir, VA · On-site

$119K - $162K/yr

The Sr Data Engineer will be required ensure design best practices are applied to the cPROBE data ... They will provide designs, implementations, and support data warehousing requirements. * They will ...

Amyx, Inc.

Sr. Data (cProbe) Engineer

Fort Belvoir, VA · On-site

$119K - $162K/yr

The Sr Data Engineer will be required ensure design best practices are applied to the cPROBE data ... They will provide designs, implementations, and support data warehousing requirements. * They will ...

RiVidium, Inc

Data Engineer

Quantico, VA · On-site

$121K - $145K/yr

Build and maintain data warehouse environments and support data modeling efforts * Ensure data ... Promote best practices in data engineering, governance, and data lifecycle management * Support ...

Comcast

Data Engineer 3 - Reston, VA - Freewheel

Reston, VA · On-site

$113K - $170K/yr

Cloud Data Warehouse management​ * Knowledge of at least one of cloud provider (AWS, GCP, or ... Engineering robust ingestion frameworks for a variety of data types, while monitoring and reporting ...

DCCA

SME - Data Services / System Architect

Mclean, VA · On-site

$64.50 - $83/hr

... on data warehouse solutions. Responsibilities : • Experience managing the effective ... engineering to define, architect, design, engineer and implement enterprise-wide IT systems and ...

Fairfax County

Data Analyst III

Fairfax, VA · On-site +1

$88K - $155K/yr

Under limited supervision of the IT Program Manager, serves as the senior developer and administrator for the Park Authority's data warehouse. Defines requirements, designs, develops, tests, debugs ...

VTG

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Overview VTG is seeking a skilled Data Engineer with at least 5 years of experience designing ... Build and optimize data architectures, including data lakes, data warehouses, and data marts

previous page

Showing results 41-60

All JobsData Warehouse Engineer JobsData Warehouse Engineer Jobs in Virginia

Data Warehouse Engineer information

See Virginia salary details

$85.8K

$125.4K

$159.1K

How much do data warehouse engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data warehouse engineer in Virginia is $125,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $135,300.00 per year, depending on experience, location, and employer.

What is a data warehouse engineer?

Data Warehouse Engineers are IT professionals who design, build, and maintain systems used for storing and analyzing large volumes of data. They create data models, implement ETL (Extract, Transform, Load) processes, and ensure data integrity and optimized performance within the data warehouse environment. Their work enables organizations to efficiently store data from various sources and make it accessible for business intelligence and analytics. Data Warehouse Engineers often collaborate with data analysts, data scientists, and database administrators to support informed decision-making.

What are the key skills and qualifications needed to thrive as a data warehouse engineer?

To thrive as a Data Warehouse Engineer, you need expertise in database design, ETL processes, SQL, and data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like Microsoft SQL Server, Oracle, Informatica, and cloud platforms such as AWS Redshift or Google BigQuery, as well as certifications in these technologies, are valuable. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with stakeholders and address data challenges efficiently. These skills ensure the reliable integration, storage, and retrieval of high-quality data, which is critical for business intelligence and decision-making.

What are some common challenges data warehouse engineers face when integrating data from multiple sources?

Data Warehouse Engineers often encounter challenges such as data inconsistency, varying data formats, and incomplete or duplicate records when integrating information from diverse systems. Addressing these issues requires careful planning, robust ETL (Extract, Transform, Load) processes, and close collaboration with source system owners and data analysts. Additionally, ensuring data quality and maintaining up-to-date documentation are crucial to support efficient troubleshooting and future scalability.

What is the difference between Data Warehouse Engineer vs Data Analyst?

AspectData Warehouse EngineerData Analyst
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Google CloudBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentDesigning, building, maintaining data warehouses; working with ETL toolsAnalyzing data, creating reports, visualizations
Industry UsageUsed in organizations managing large-scale data infrastructureUsed across industries for business insights and decision-making

While both roles work with data, Data Warehouse Engineers focus on building and maintaining data storage systems, whereas Data Analysts interpret data to generate insights. They often collaborate but have distinct technical and functional responsibilities.

What are popular job titles related to Data Warehouse Engineer jobs in Virginia?

For Data Warehouse Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Warehouse Engineer jobs in Virginia look for?

The top searched job categories for Data Warehouse Engineer jobs in Virginia are:

What are popular job titles related to Data Warehouse Engineer jobs in VA?

For Data Warehouse Engineer jobs in VA, the most frequently searched job titles are:

Data Warehouse Engineer jobs near you
Infographic showing various Data Warehouse Engineer job openings in Virginia as of August 2026, with employment types broken down into 54% Full Time, and 46% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,414 per year, or $60.3 per hour.

Data Engineer

Rividium Inc

Quantico, VA • On-site

$123K - $148K/yr

Full-time

Re-posted 23 hours ago

Job description

Job Summary:
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.
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
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related quantitative field
• 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
• 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
• TS/SCI clearance required at contract start
Preferred:
• 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
Company:
Rividium, Inc. Founded in 2008, the company is headquartered in Vienna, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply