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Remote Viewing Jobs in Virginia (NOW HIRING)

Data Engineer

Leesburg, VA · On-site +1

$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 ...

General information Job Posting Title PMO Project Librarian Date Monday, June 22, 2026 City Remote ... views to support governance and audit requirements - Ensure documentation complies with records ...

Solutions Architect

Glen Allen, VA · On-site +1

$58.50 - $77.25/hr

... 23060 Hybrid/Remote role Position Description: The Solution Architect is a key technology ... This exciting role will take both strategic and tactical views of current and future needs to help ...

$85K - $117K/yr

This position is remote work eligible for candidates residing in the following states: FL, GA, ID ... views, and functions. (Required) * Coding experience with the creation and consumption of REST ...

Data Architect

Arlington, VA · On-site +1

$145K - $165K/yr

Remote Compensation: $145,000 - $165,000 / year Description At Nüvitek, customer success is our ... SQL experience creating and maintaining queries, views, and stored procedures in a multi-database ...

$85K - $117K/yr

This position is remote work eligible for candidates residing in the following states: FL, GA, ID ... views, and functions. (Required) * Coding experience with the creation and consumption of REST ...

Our people are challenged to bring fresh, diverse views and make bold moves to empower healthier ... This position will be either a remote or hybrid role based on the selected candidate's geographic ...

Develop complex SQL queries and views to enhance application integration and performance * Maintain ... a remote position; however, occasional travel may be required based on project needs, client ...

Senior Data Engineer

Richmond, VA · Remote

$104K - $142K/yr

Develop efficient SQL stored procedures, views, and queries with a strong understanding of data ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Remote: Can live anywhere in the USA. About Us CDK Global is a leading provider of cloud-based ... We are open, curious and encourage different views, so that everyone can be their best selves and ...

... viewers, and guests worldwide. Become part of our award-winning technology team that turns big ... remote option.) Job Summary Comcast Business provides connectivity, voice, managed services, and ...

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Showing results 1-20

Remote Viewing information

See Virginia salary details

$16

$29

$59

How much do remote viewing jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for remote viewing in Virginia is $29.68, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $23.85 per hour, depending on experience, location, and employer.

What is a Remote Viewing job?

A Remote Viewing job typically involves using structured techniques to gather information about distant or unseen targets without direct physical access. This practice is often associated with psychic or intuitive abilities, but some organizations use it in research or investigative contexts. Remote viewers may be employed in fields such as paranormal research, security consulting, or private investigation. While the legitimacy of remote viewing remains debated, some individuals claim success in providing useful insights.

What are the most common day-to-day responsibilities in a Remote Viewing role?

In a Remote Viewing position, your main daily tasks typically involve monitoring live video feeds or surveillance footage to detect and report unusual activity, security breaches, or other incidents. You may also be responsible for creating detailed reports, maintaining logs, and communicating effectively with on-site personnel or local authorities when necessary. Depending on the employer, you might work independently or as part of a larger security team and could be assigned to oversee multiple locations simultaneously. Staying alert and attentive throughout your shift is crucial to ensuring timely responses to any events that arise.

What are the key skills and qualifications needed to thrive in the Remote Viewing position, and why are they important?

To thrive in a Remote Viewing job, candidates typically need strong observational skills, attention to detail, and the ability to accurately document and communicate findings, with at least a high school diploma or equivalent required. Experience with surveillance or monitoring software, video analytics tools, and familiarity with standard operating procedures is often essential. Strong reliability, professionalism, and the ability to stay focused during long periods of monitoring make candidates stand out. These attributes are important for ensuring accurate reporting, preventing incidents, and maintaining safety or compliance in security-related environments.

How to make $1000 a week remotely?

Remote viewing as a job typically involves offering psychic or intuitive services, which can generate income through client sessions, online platforms, or coaching. Earning $1000 weekly requires building a client base, marketing skills, and consistent availability, often supplemented by related skills like meditation or visualization. Success depends on reputation, pricing, and demand for remote viewing services.

What are remote viewing jobs?

Remote viewing jobs involve using mental perception techniques to gather information about distant or unseen targets, often for research or intelligence purposes. These roles may require training in specific protocols, strong visualization skills, and the ability to work independently in a virtual environment.

Can I become a remote viewer?

Remote viewing is a skill that can be developed through training and practice, often involving mental focus and visualization techniques. Some organizations offer courses or certifications, but it is not a formally recognized profession with standardized qualifications. Success in remote viewing depends on individual aptitude and dedication.

How much do remote viewers get paid?

Remote viewers' pay varies widely depending on experience, client, and project scope, with some earning hourly rates from $20 to $100 or more. Many remote viewing jobs are freelance or contract-based, and income can fluctuate based on the number of assignments completed and the reputation of the viewer.
What are popular job titles related to Remote Viewing jobs in Virginia? For Remote Viewing jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Remote Viewing jobs? Cities in Virginia with the most Remote Viewing job openings:
Data Engineer

Data Engineer

Anika Systems

Leesburg, VA • On-site, Remote

$115K - $139K/yr

Full-time

Re-posted 19 days ago


Job description

Anika Systems is seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and platforms supporting federal clients. This role will play a critical part in enabling enterprise data strategies, supporting Office of the Chief Data Officer (OCDO) initiatives, and delivering high-quality, trusted data for analytics, reporting, and mission operations.
This opportunity is 100% remote.
The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache Iceberg-based architectures, and advanced data optimization techniques such as materialized views and context-aware data engineering. This role also requires proficiency in AI tools and AI-assisted development workflows, along with experience building and deploying CI/CD pipelines for data and analytics platforms.
Key Responsibilities
Data Pipeline Development & ETL/ELT
  • Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data across enterprise platforms.
  • Build scalable data ingestion frameworks for structured and semi-structured data, including XBRL filings and financial datasets.
  • Implement data transformation logic to support analytics, reporting, and regulatory use cases.
  • Ensure data pipelines are reliable, performant, and scalable in cloud environments.
  • Leverage AI-assisted development tools to accelerate pipeline development, testing, and optimization.
Cloud Data Platforms & Iceberg Architecture
  • Develop and manage data solutions leveraging AWS services (e.g., S3, Airflow, DAGs, Glue, Lambda, Redshift).
  • Implement and optimize Apache Iceberg table formats for large-scale, ACID-compliant data lakes.
  • Support lakehouse architectures that unify data lakes and data warehouses.
  • Optimize data storage and retrieval strategies for performance and cost efficiency.
  • Enable data platforms that support AI/ML workloads and downstream generative AI use cases.
CI/CD & DataOps Engineering
  • Design and implement CI/CD pipelines for data pipelines, infrastructure, and analytics code using tools such as GitHub Actions, GitLab CI, Jenkins, or AWS-native services.
  • Automate build, test, and deployment processes for ETL pipelines and data platform components.
  • Implement DataOps best practices, including version control, automated testing, environment promotion, and rollback strategies.
  • Ensure reproducibility, reliability, and governance of data pipeline deployments across environments.
  • Integrate AI-driven testing and monitoring tools to improve pipeline quality and reduce operational risk.
Data Optimization & Performance Engineering
  • Design and implement materialized views and other performance optimization techniques to improve query efficiency.
  • Tune data pipelines and queries for performance, scalability, and cost.
  • Implement partitioning, indexing, and caching strategies aligned to workload patterns.
XBRL & Financial Data Processing
  • Develop pipelines to ingest, parse, and normalize XBRL (eXtensible Business Reporting Language) data.
  • Support regulatory and financial data use cases requiring high accuracy and traceability.
  • Ensure alignment with data standards and validation rules for financial reporting datasets.
Context Engineering & Data Modeling Support
  • Apply context engineering principles to ensure data is enriched with meaningful metadata, lineage, and business context.
  • Collaborate with Data Architects to support data modeling, schema design, and entity relationships.
  • Enable downstream analytics and AI use cases by structuring data for usability, discoverability, and governance.
Metadata, Data Catalog, and Governance Integration
  • Integrate pipelines with enterprise data catalogs and metadata management systems.
  • Support automated metadata capture, lineage tracking, and data quality monitoring.
  • Ensure alignment with data governance frameworks and standards established by OCDO organizations, including AI data readiness and traceability.
Stakeholder Collaboration & Agile Delivery
  • Collaborate with data architects, analysts, and business stakeholders to understand data needs and deliver solutions.
  • Participate in stakeholder listening campaigns, workshops, and data discovery efforts.
  • Work in Agile teams to iteratively deliver data capabilities and enhancements.
  • Contribute to identifying and implementing AI-driven efficiencies and automation opportunities across the data lifecycle.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
  • 5+ years of experience in data engineering, ETL development, or data platform engineering.
  • Strong hands-on experience with:
    • ETL/ELT tools and frameworks
    • AWS data services (S3, Glue, Lambda, Redshift, etc.)
    • Apache Iceberg and modern data lake architectures
  • Experience designing and implementing CI/CD pipelines for data platforms and ETL workflows.
  • Demonstrated proficiency using AI tools and AI-assisted development workflows (e.g., LLM copilots, automated code generation, pipeline optimization tools).
  • Experience processing XBRL or complex financial/regulatory datasets.
  • Proficiency in SQL and Python.
  • Experience implementing materialized views and query optimization techniques.
  • Understanding of data modeling concepts and metadata management.
  • Familiarity with data governance, data quality practices, and data readiness for AI/ML use cases.
  • Ability to work in Agile, DevOps-oriented environments.
  • 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 tools (e.g., Collibra, Alation, ServiceNow).
  • Experience with Apache Spark, Kafka, or other distributed data processing frameworks.
  • Experience enabling data pipelines for AI/ML or generative AI applications.
  • Knowledge of data maturity frameworks (e.g., EDM DCAM, TDWI).
  • Exposure to context engineering or semantic data layer design.
  • AWS or data engineering certifications.
  • Experience with infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) in support of CI/CD pipelines.