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Remote Viewer Jobs in Virginia (NOW HIRING)

Anika Systems

Quality Assurance Engineer

Leesburg, VA · On-site +1

... views-ensuring data accuracy, integrity, and trust across the enterprise. This role also requires ... This opportunity is 100% remote. Key Responsibilities Test Automation & QA Engineering * Design ...

SAIC

Portal Developer IPMO Support

Arlington, VA · On-site +1

None Potential for Remote Work: ORA_HYBRID Description SAIC is seeking qualified applicants to ... Provide program management views/reporting. * Provide a central location for the Government and ...

Riverside Research

GEOINT Analyst Mid

Charlottesville, VA · Remote

$110K - $150K/yr

Provides non-literal analysis to produce intelligence products, using remote sensing methodologies ... viewer, such as ArcGIS or FalconView * TS/SCI clearance Global Comp $110,000- $150,000 This ...

Sentara

Hospice Medical Director

Newport News, VA · Remote

Fully remote, PRN opportunity offering exceptional flexibility * Collaborate closely with ... O., licensed to practice in Virginia Life on the peninsula of Virginia offers breathtaking views ...

SAIC

Portal Developer IPMO Support

Arlington, VA · On-site +1

None Potential for Remote Work: ORA_HYBRID Description SAIC is seeking qualified applicants to ... Provide program management views/reporting. * Provide a central location for the Government and ...

SAIC

WDP Portal Developer Service Now

Arlington, VA · On-site +1

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ... views/reporting, tracks metrics, and stores artifacts at the unclassified level. The WDP Portal ...

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115.80K - $139.10K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... Design and implement materialized views and other performance optimization techniques to improve ...

Deltek, Inc.

System Engineer II

Herndon, VA · On-site +1

$100.30K - $137.30K/yr

06-Mar-2026 Semantic Model Specialist US (Remote), US-Herndon-VA, US-Herndon-VA (Hybrid), US-Tampa ... Build and maintain semantic views in Snowflake as the foundation for Power BI semantic models.

Deltek, Inc.

System Engineer I

Herndon, VA · On-site +1

$177.90K - $210.80K/yr

06-Mar-2026 Semantic Model Developer US (Remote), US-Herndon-VA, US-Herndon-VA (Hybrid), US-Tampa ... Build and maintain semantic views in Snowflake as the foundation for Power BI semantic models.

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Remote Viewer information

See Virginia salary details

$55.5K

$123.7K

$174.5K

How much do remote viewer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote viewer in Virginia is $123,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $141,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Viewer, and why are they important?

To thrive as a Remote Viewer, you need strong observational skills, pattern recognition, and attention to detail, often supported by training in intelligence analysis or investigative techniques. Experience with specialized software for image analysis, mapping tools, and secure communication systems is typically required. Analytical thinking, perseverance, and clear written communication are key soft skills that set top performers apart in this field. These competencies are crucial for accurately interpreting remote data, producing actionable insights, and supporting decision-making in areas such as security or research.

What are some common challenges remote viewers face when working independently, and how can they stay engaged with their team?

Remote viewers often work in solitary environments, which can lead to feelings of isolation or difficulty staying motivated. To remain engaged with their team, it's important to participate in regular virtual check-ins, share progress updates, and seek feedback on assignments. Building a routine and setting clear goals can help maintain focus, while using collaborative tools ensures alignment with project objectives. Open communication with team members fosters a sense of community and helps overcome the challenges of remote work.

What are remote viewers?

Remote viewers are individuals who use a mental technique called remote viewing to gather information about a target, location, object, or event that is hidden from physical view or located at a distance. This practice was originally developed for military and intelligence purposes, but is now sometimes used in research, investigations, or personal development. Remote viewing typically involves focusing the mind, sometimes with specific protocols, to perceive details without using the traditional five senses. While some people believe in its effectiveness, scientific evidence supporting remote viewing remains limited and controversial. Many remote viewers work independently or as part of specialized investigative teams.
What are popular job titles related to Remote Viewer jobs in Virginia? For Remote Viewer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Viewer jobs in Virginia look for? The top searched job categories for Remote Viewer jobs in Virginia are:
What cities in Virginia are hiring for Remote Viewer jobs? Cities in Virginia with the most Remote Viewer job openings:
Remote Viewer jobs near you
Infographic showing various Remote Viewer job openings in Virginia as of May 2026, with employment types broken down into 79% Full Time, and 21% Temporary. Highlights an 100% Remote job distribution, with an average salary of $123,662 per year, or $59.5 per hour.
Quality Assurance Engineer

Quality Assurance Engineer

Anika Systems

Leesburg, VA • On-site, Remote

Full-time

Posted 6 days ago

Job description

Anika Systems is seeking a highly technical Quality Assurance Engineer with strong development, SQL, and Python expertise to support enterprise data platforms for federal clients. This is not a traditional manual QA role and this position requires a developer mindset, focused on automation, data validation, and platform reliability across modern cloud-based architectures.
The ideal candidate will design and implement automated testing frameworks for ETL pipelines, Apache Iceberg data architectures, XBRL datasets, and performance-optimized structures such as materialized views-ensuring data accuracy, integrity, and trust across the enterprise. This role also requires proficiency in AI tools and AI-driven workflows, leveraging automation and intelligent testing techniques to improve quality and delivery speed.
This opportunity is 100% remote.
Key Responsibilities
Test Automation & QA Engineering
  • Design, develop, and maintain automated QA frameworks for data pipelines, APIs, and analytics platforms using Python and SQL.
  • Build reusable testing utilities for data validation, regression testing, and pipeline certification.
  • Integrate automated tests into CI/CD pipelines to support continuous testing and deployment.
  • Develop unit, integration, and end-to-end test cases for complex data workflows.
  • Leverage AI-assisted testing tools to generate test cases, identify edge cases, and improve test coverage.
Data Validation & ETL Testing
  • Validate ETL/ELT pipelines to ensure accurate ingestion, transformation, and delivery of data.
  • Create automated checks for data completeness, consistency, accuracy, and timeliness.
  • Test ingestion and transformation of complex datasets, including XBRL financial data.
  • Implement reconciliation and audit mechanisms across source-to-target mappings.
  • Apply AI-driven anomaly detection to identify data quality issues and pipeline failures.
Iceberg & Materialized View Testing
  • Develop and execute test strategies for Apache Iceberg-based data lakehouse architectures, including:
    • Schema evolution validation
    • Time travel and versioning accuracy
    • Partitioning and performance behavior
  • Validate and compare materialized views vs. Iceberg table performance and consistency, including:
    • Query performance benchmarking
    • Data freshness and latency
    • Storage efficiency and maintenance overhead
  • Ensure alignment between precomputed datasets (materialized views) and underlying source data.
Data Quality, Metadata & Context Validation
  • Implement automated validation for data quality rules, lineage, and metadata accuracy.
  • Support context engineering by validating that datasets include proper business context, definitions, and relationships.
  • Integrate QA processes with enterprise data catalogs and metadata systems to ensure discoverability and trust.
  • Validate AI-generated metadata, lineage, and transformations for accuracy and traceability.
AI-Driven Quality Engineering
  • Apply AI/ML and generative AI tools to enhance QA processes, including intelligent test generation, defect prediction, and automated root cause analysis.
  • Validate data readiness for AI/ML and generative AI use cases, ensuring datasets meet quality, completeness, and governance standards.
  • Collaborate with data and AI teams to test data pipelines supporting RAG, analytics, and machine learning workflows.
  • Ensure alignment with responsible AI practices, including traceability, explainability, and data integrity.
OCDO & Data Strategy Support
  • Support enterprise data management programs and OCDO initiatives by ensuring data quality and reliability across systems.
  • Contribute to data maturity assessments by evaluating data quality, testing coverage, and governance adherence.
  • Align QA processes with Federal Data Strategy and Evidence Act requirements.
Stakeholder Collaboration & Agile Delivery
  • Work closely with data engineers, data architects, and analysts to define test strategies and acceptance criteria.
  • Participate in stakeholder engagement sessions and listening campaigns to understand data quality expectations and pain points.
  • Document test results, defects, and quality metrics for both technical and non-technical stakeholders.
  • Operate within Agile teams to iteratively improve data quality processes and tooling.
  • Promote adoption of AI-driven efficiencies and automation across QA and data engineering workflows.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • 5+ years of experience in QA engineering, data testing, or software development.
  • Strong programming skills in Python and advanced proficiency in SQL.
  • Experience building automated test frameworks for data platforms and ETL pipelines.
  • Hands-on experience with:
    • AWS data services (S3, Glue, Redshift, Lambda, etc.)
    • Apache Iceberg or similar data lake technologies
  • Experience validating materialized views and performance-optimized data structures.
  • Familiarity with XBRL or complex financial/regulatory datasets.
  • Understanding of data modeling, metadata, and data governance principles.
  • Experience with CI/CD tools and automated testing integration.
  • Demonstrated proficiency with AI tools and AI-assisted development/testing workflows.
  • Understanding of data quality requirements for AI/ML and analytics use cases.
  • U.S. Citizenship required; ability to obtain and maintain a federal clearance.
Preferred Qualifications
  • Experience supporting federal agencies such as SEC, DHS, Treasury, or Federal Reserve System.
  • Familiarity with data catalog and governance tools (e.g., Collibra, Alation, ServiceNow).
  • Experience with Apache Spark or distributed data processing frameworks.
  • Knowledge of data quality tools and observability platforms.
  • Exposure to data maturity frameworks (e.g., EDM DCAM, TDWI).
  • Experience testing large-scale cloud data platforms and lakehouse architectures.
  • Experience validating data pipelines supporting AI/ML, analytics, or generative AI solutions.
  • Familiarity with AI-driven testing tools or frameworks.

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