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Remote Indexer Jobs in Virginia (NOW HIRING)

SAIC

GIS Database Engineer

Vienna, VA · Remote

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description Overview SAIC is hiring a Database Engineer ... Monitor performance and tune databases (query optimization, indexing). * Implement security ...

VTG

Software Engineer

Chantilly, VA · Remote

Design and operate large-scale geospatial indexing solutions using GeoMESA. * Develop and maintain ... Bachelor's degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies ...

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$10

$19

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How much do remote indexer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote indexer in Virginia is $19.06, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $25.24 per hour, depending on experience, location, and employer.

What does a remote indexer do?

A typical day for a Remote Indexer involves reviewing large volumes of digital or physical content, assigning relevant keywords or codes, and entering this data into organizational systems. The role is highly independent, but indexers often collaborate with content managers, librarians, or project leads to clarify criteria and ensure consistency in indexing standards. Regular team check-ins or virtual meetings are common to discuss progress and address specific challenges. Since deadlines and accuracy are critical, effective communication and responsiveness to feedback are important aspects of daily work. Over time, experienced indexers may advance to roles such as lead indexer, metadata specialist, or digital content manager.

What is a remote indexer?

A Remote Indexer is responsible for organizing, tagging, and categorizing data, documents, or digital content to improve searchability and accessibility. This role often involves analyzing information, applying metadata, and ensuring consistency based on specific guidelines. Remote Indexers typically work in industries like publishing, legal services, libraries, or data management. The job requires attention to detail, familiarity with indexing standards, and the ability to work independently from home.

What skills and qualifications are needed to be a remote indexer?

To thrive as a Remote Indexer, you need excellent attention to detail, strong data organization skills, and the ability to accurately categorize and summarize diverse information, often supported by a degree in library science or a related field. Familiarity with industry-standard indexing software, databases, and digital content management systems is typically required. Exceptional time management, self-motivation, and clear written communication are important soft skills for success in a remote work environment. These capabilities ensure that information is accurately organized and accessible, supporting efficient retrieval and high-quality data management.

What are popular job titles related to Remote Indexer jobs in Virginia? For Remote Indexer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Indexer jobs in Virginia look for? The top searched job categories for Remote Indexer jobs in Virginia are:
What cities in Virginia are hiring for Remote Indexer jobs? Cities in Virginia with the most Remote Indexer job openings:
Remote Indexer jobs near you
Infographic showing various Remote Indexer job openings in Virginia as of August 2026, with employment types broken down into 90% Full Time, 9% Contract, and 1% Nights. Highlights an 81% Physical, 16% Hybrid, and 3% Remote job distribution, with an average salary of $39,653 per year, or $19.1 per hour.

Site Reliability Engineer (OpenSearch) - Remote

Information Consulting Services

Herndon, VA • Remote

$58.50 - $78/hr

Full-time

Posted 2 days ago

New

Job description

Contract Details

  • Work Mode: 100% Remote (US-based)
  • Location: Herndon, VA
  • Schedule: 40 hours/week
  • Duration: 08/17/2026 08/16/2027
  • Type: Contract with potential to convert to full-time after ~12 months (not guaranteed)

About the Opportunity

Seeking a Site Reliability Engineer to ensure availability, performance, scalability, and security for mission-critical, cloud-hosted search and analytics services built on OpenSearch. You will focus on reliability engineering, operations, automation, and continuous improvement for distributed platforms, working within a diverse, globally distributed team.

Key Responsibilities

  • Provision, build, deploy, monitor, operate, and support cloud services in a global team environment.
  • Architect, build, deploy, and maintain high performance OpenSearch clusters and platforms from the ground up.
  • Optimize OpenSearch for high availability, resiliency, scalability, security, and performance.
  • Monitor and troubleshoot cluster health, node performance, indexing throughput, search latency, shard allocation/replication, and storage utilization.
  • Analyze and resolve operational issues across infrastructure, platform, and application layers; lead incident response, RCA, and remediation.
  • Maintain integrity and security of servers, systems, and OpenSearch platform infrastructure.
  • Support lifecycle activities: installation, configuration, upgrades/patching, backup/restore, and disaster recovery.
  • Develop and maintain monitoring policies, alerting standards, runbooks, and support procedures.
  • Automate testing, deployment, scaling, recovery, and operational workflows for OpenSearch and related cloud services.
  • Plan capacity for compute, memory, storage, and network; partner with engineering to enhance reliability and operational readiness.
  • Support log ingestion, index management, lifecycle/retention, and search performance tuning.
  • Participate in an on-call rotation; support occasional weekend/after-hours needs.

Required Qualifications

  • US citizenship required; dual citizenship not permitted.
  • 8 years of experience in SRE/DevOps/cloud operations with distributed systems.
  • Proven, hands-on experience designing, building, deploying, operating, and optimizing OpenSearch clusters from scratch in production.
  • Expert-level Kubernetes experience (operations, troubleshooting, management, configuration of complex services).
  • Deep OpenSearch administration: cluster architecture, performance tuning, scaling, upgrades, and troubleshooting; index/shard/replica strategy; sizing; snapshot/restore; backup/DR.
  • Strong Linux expertise (SUSE and Ubuntu).
  • Expertise with Git and Concourse (pipeline setup, management, troubleshooting).
  • Experience with Kafka and Zookeeper; strong automation for testing, deployment, scalability, and cloud service management.
  • Experience building/implementing/supporting cloud monitoring and observability; solid knowledge of cloud computing, infrastructure operations, databases, web services, networking, virtualization, and internet protocols.
  • Security fundamentals for SaaS multi-tenant application systems; excellent communication and prioritization skills; ability to multitask.

Preferred Qualifications

  • AWS experience (e.g., Route 53, EC2, S3, CloudWatch, DynamoDB, RDS, IAM, ACM, KMS, VPC); experience deploying/operating OpenSearch in AWS.
  • Experience with Cloud Foundry environments.
  • Experience with Jenkins, Chef, and/or Terraform.
  • Experience with Prometheus and Grafana.
  • Background with log ingestion pipelines, index lifecycle management, retention strategies, and search platform security controls.
  • Familiarity with capacity forecasting, performance benchmarking, and resilience testing for distributed search platforms.

Work Environment

  • Collaborative, globally distributed team with cross-training opportunities.
  • Participation in an on-call rotation and occasional after-hours/weekend support.
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