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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 ...

Maximus

Director, Solution Enablement

VA · On-site +1

This is a remote position. Essential Duties and Responsibilities: - Act as the entry point for new ... views-to ensure alignment with enterprise strategy and solution architecture. Use these artifacts ...

Astor & Sanders

Senior Database Developer

Mclean, VA · Remote

$110K - $130K/yr

This is a full-time and remote position. Astor is looking for an experienced Oracle Database ... Implements PL/SL Programming especially in areas of Views, cursors, Stored Procedures ...

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 ...

DCS Corp

Senior Power BI Developer

Alexandria, VA · Remote

This is a remote-friendly role based in Eastern time zone. The role involves assessing data sources ... SQL stored procedures, views, PBI data models) as foundational elements in the workspace. Design ...

Synertex LLC

Senior Software Developer

Herndon, VA · On-site +1

$56 - $74/hr

Senior Software Developer National Capital Region TS/SCI Polygraph | Hybrid (Remote with Occasional ... Write and optimize SQL queries, T-SQL stored procedures, views, and SSIS packages * Create ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$115K - $139K/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 ...

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All JobsViewer JobsRemote Viewer JobsRemote Viewer Jobs in Virginia

Remote Viewer information

See Virginia salary details

$55.5K

$123.7K

$174.5K

How much do remote viewer jobs pay per year?

As of Jul 12, 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 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 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.

How much do remote viewers make?

Remote viewers typically earn between $20 and $50 per hour, depending on experience, client, and project complexity. Some may work as freelancers, setting their own rates, while others are employed by private firms or agencies with fixed salaries. Earnings can vary widely based on skill level and the demand for remote viewing services.

How to make $1000 a week remotely?

A remote viewer can potentially earn $1000 a week by offering specialized services such as remote sensing, data analysis, or consulting, often requiring skills in software tools and strong communication. Achieving this income level typically involves building a client base, setting competitive rates, and working consistently, sometimes through freelance platforms or direct contracts.

What jobs pay 4000 a week without a degree?

A remote viewer job typically involves analyzing visual data or images, and while some freelance or specialized roles can pay high weekly rates, earning $4,000 a week without a degree is uncommon and often requires significant experience, skills, or certifications. High-paying remote jobs generally include roles like sales, consulting, or technical freelance work, which may not require formal degrees but do demand expertise and proven track records.

Can you get paid for remote viewing?

Remote viewing is a skill sometimes offered as a service by individuals or companies, and they can get paid for providing remote viewing insights or reports. However, legitimate remote viewing jobs are rare and often involve freelance or contract work, with payment depending on the client or project. It is important to verify the credibility of remote viewing opportunities to avoid scams.
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 July 2026, with employment types broken down into 77% Full Time, 8% Temporary, and 15% Contract. 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

Re-posted 19 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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