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Elasticsearch Remote Jobs in Virginia (NOW HIRING)

Serviss

Senior Data Pipeline Engineer (Elastic)

Arlington, VA ยท On-site +1

$121K - $165K/yr

Area / Remote Employment Type: Full-Time About SERVISS At SERVISS, we deliver cutting-edge ... Design Elasticsearch index strategies, mappings, ingest pipelines, and transforms; normalize ...

Serviss

Senior Data Pipeline Engineer

Arlington, VA ยท On-site +1

$121K - $165K/yr

Area / Remote Employment Type: Full-Time About SERVISS At SERVISS, we deliver cutting-edge ... Design Elasticsearch index strategies, mappings, ingest pipelines, and transforms; normalize ...

GRVTY

Data Engineer

Chantilly, VA ยท On-site +1

$117K - $140K/yr

... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer ... ElasticSearch

SAIC

Software Developer

Chantilly, VA ยท On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description ๏ปฟ SAIC is seeking a Software Developer to ... NoSQL databases, especially MongoDB and Elasticsearch. * Modern JavaScript/Typescript UI frameworks ...

GRVTY

Data Engineer

Chantilly, VA ยท On-site +1

$150K - $200K/yr

... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer ... ElasticSearch Pay Range: At GRVTY, we understand that compensation is influenced by many factors ...

Team Velocity

Senior Full Stack .NET Developer

Herndon, VA ยท On-site +1

$150K - $175K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... such as Redis, Elasticsearch, Kafka, Snowflake, Cassandra, or similar technologies * Strong ...

Team Velocity

Traffic Intelligence Specialist

Herndon, VA ยท Remote

$90K - $110K/yr

This is a full-time, salaried, remote position. Employee must be located within the Continental U.S ... Elasticsearch * New Relic * Sentry * Browser developer tools * Playwright or browser automation ...

Team Velocity

Traffic Intelligence Specialist

Herndon, VA ยท On-site +1

$90K - $110K/yr

This is a full-time, salaried, remote position. Employee must be located within the Continental U.S ... Elasticsearch * New Relic * Sentry * Browser developer tools * Playwright or browser automation ...

Parsons

Principal Innovation Engineer

Reston, VA ยท On-site +1

Experience designing solutions for remote, austere, power-constrained, or intermittently connected ... Familiarity with technologies such as MongoDB, Elasticsearch/OpenSearch, RabbitMQ/Kafka, Grafana ...

Team Velocity

Senior Full Stack .NET Developer

Herndon, VA ยท Remote

$150K - $175K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... such as Redis, Elasticsearch, Kafka, Snowflake, Cassandra, or similar technologies * Strong ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239091 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with monitoring tools2, such as Grafana, Prometheus, or Elasticsearch * Experience with ...

Peraton

DevOps Engineer

Herndon, VA ยท On-site +1

$135K - $216K/yr

Remote work not available, but schedule is flexible. Desired Qualifications: Experience working with OpenShift, Keycloak, PostgreSQL, Ansible, Wildfly Experience working with Kafka, Elasticsearch ...

Peraton

DevOps Engineer

Herndon, VA ยท On-site +1

$135K - $216K/yr

Remote work not available, but schedule is flexible. Desired Qualifications: Experience working with OpenShift, Keycloak, PostgreSQL, Ansible, Wildfly Experience working with Kafka, Elasticsearch ...

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Elasticsearch Remote information

See Virginia salary details

$82.8K

$125.9K

$169.5K

How much do elasticsearch remote jobs pay per year?

As of Aug 1, 2026, the average yearly pay for elasticsearch remote in Virginia is $125,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $142,300.00 per year, depending on experience, location, and employer.

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

To thrive as an Elasticsearch Remote professional, you need strong experience with Elasticsearch, data indexing, distributed systems, and query optimization, typically supported by a background in computer science or a related field. Familiarity with tools such as Kibana, Logstash, Beats, as well as cloud platforms (AWS, GCP, or Azure), and relevant certifications like Elastic Certified Engineer are often required. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial for success in a distributed work environment. These competencies ensure that you can build, maintain, and improve scalable search solutions while collaborating efficiently across remote teams.

What is an Elasticsearch Remote job?

An Elasticsearch Remote job is a position where professionals work with Elasticsearch, a powerful search and analytics engine, from a remote location. These roles typically involve tasks such as optimizing search performance, managing Elasticsearch clusters, and integrating Elasticsearch with various applications. Remote Elasticsearch professionals can work as developers, engineers, or administrators, ensuring efficient indexing, querying, and data management. Companies hire remote Elasticsearch experts to maintain and scale their search infrastructure without requiring on-site presence. This type of job offers flexibility while allowing specialists to contribute to large-scale data and search projects.

What are the typical day-to-day responsibilities of a remote Elasticsearch specialist?

As a remote Elasticsearch specialist, your daily tasks often include configuring and managing Elasticsearch clusters, monitoring performance, optimizing queries, and troubleshooting data issues. You will also work with development and DevOps teams to implement new features and ensure the reliability and scalability of search infrastructure. Regular collaboration via chat, video meetings, and project management tools is common, and you may participate in peer code reviews and knowledge-sharing sessions. Staying up to date with the latest Elasticsearch developments and documenting best practices are also important aspects of the role.

What are the most commonly searched types of Elasticsearch jobs in Virginia? The most popular types of Elasticsearch jobs in Virginia are:
What are popular job titles related to Elasticsearch Remote jobs in Virginia? For Elasticsearch Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Elasticsearch Remote jobs in Virginia look for? The top searched job categories for Elasticsearch Remote jobs in Virginia are:
What cities in Virginia are hiring for Elasticsearch Remote jobs? Cities in Virginia with the most Elasticsearch Remote job openings:
Elasticsearch Remote jobs near you
Infographic showing various Elasticsearch Remote job openings in Virginia as of July 2026, with employment types broken down into 65% Full Time, 8% Part Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $125,941 per year, or $60.5 per hour.

Senior Data Pipeline Engineer (Elastic)

Serviss

Arlington, VA โ€ข On-site, Remote

$121K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago

Job description

Senior Data Pipeline Engineer
Location: Washington D.C. Area / Remote
Employment Type: Full-TimeAbout SERVISS
At SERVISS, we deliver cutting-edge cybersecurity and IT solutions to government and commercial clients, with a mission to secure systems, data, and critical infrastructure through innovation and expertise. We don't just deploy tools; we engineer mission platforms that become foundational systems of record for cyber operations, compliance automation, and national cyber readiness. From CISA CDM to DoW mission enclaves, our work shapes how government sees, governs, and defends its digital terrain.
On the DHS CDM Data Services Program, our engineers build the data pipelines and Elasticsearch platforms that give agency stakeholders a unified, single-pane-of-glass view of their cyber terrain.
Position Summary
SERVISS is seeking a Senior Data Pipeline Engineer to join an established, mission-critical Pipeline team on the DHS CDM Data Services / BETSIE Program. In this senior role, you will take a leading technical role in the data ingestion and pipeline function that collects asset and cyber-intelligence data from SaaS platforms, primarily Armis and Axonius, and delivers it into Elasticsearch to power a unified single-pane-of-glass dashboard for agency stakeholders.
Our customer's requirements are dynamic and complex. The ideal candidate can engage resources and work across teams to decompose large, complex problems into workable solutions, set technical direction, and mentor junior engineers. An aptitude for strategic planning and the ability to communicate effectively at all levels of the organization are a must. The successful candidate will also serve as a liaison for the customer's data-improvement efforts, participating in regular meetings, representing the program, and supporting the requirements-gathering process.
The Work
This is a hands-on engineering role. The selected candidate will:
  • Architect, automate, and maintain scalable, fault-tolerant data processing pipelines that ingest asset, vulnerability, and configuration data from Armis, Axonius, and other SaaS/API sources into Elasticsearch
  • Handle high-volume, high-velocity data collection, processing, and indexing to support near-real-time visibility
  • Design Elasticsearch index strategies, mappings, ingest pipelines, and transforms; normalize disparate source data to a common schema (e.g., Elastic Common Schema) for consistent search, correlation, and reporting
  • Build and maintain Kibana dashboards and visualizations that deliver a true single-pane-of-glass view of the agency's technical posture
  • Own API integration patterns against evolving vendor APIs, including authentication and token management, pagination, rate limiting, incremental/delta ingestion, and resilient error handling and retry logic
  • Implement automated reconciliation and data-quality checks to ensure ingested data is complete, consistent, and accurate against source systems; document and maintain data lineage and traceability of transformed data back to source
  • Manage index lifecycle (ILM), retention, sharding, and cluster performance tuning for high-volume, low-latency operations
  • Instrument pipelines with monitoring, alerting, and logging so data-flow issues are detected and resolved before they reach stakeholders
  • Follow programming best practices, emphasizing code reusability and highly automated CI/CD pipelines for scalability
Key Responsibilities
  • Serve as a leading technical resource for the data ingestion and pipeline function on the DHS CDM Data Services / BETSIE Program
  • Set technical direction and decompose large, complex problems into workable solutions across teams
  • Establish and enforce data governance, validation, and documentation standards; review designs and mentor junior engineers on the team
  • Serve as a liaison for the customer's data-improvement efforts, participating in regular meetings, representing the program, and supporting requirements gathering
  • Communicate complex data and pipeline concepts to non-technical audiences, translating them into actionable recommendations
Required Qualifications
  • US citizenship with the ability to obtain Public Trust Suitability
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (master's degree preferred)
  • A minimum of six years of experience designing, implementing, and managing the technical delivery of large-scale data engineering or data pipeline services to diverse organizations
  • 4+ years hands-on with Elasticsearch or OpenSearch: index design, mappings, ingest pipelines, query/aggregation, and cluster performance tuning
  • Strong experience integrating REST APIs from SaaS platforms, including authentication, pagination, rate limiting, incremental ingestion, and resilient error handling
  • Proficiency with a scripting/pipeline language (Python strongly preferred) and with ETL/ELT tooling such as Logstash, Elastic Agent/Beats, or equivalent
  • Experience designing, implementing, and managing data schemas that comply with cyber-relevant data standards and frameworks, e.g., SCAP, STIX, OTEL, Elastic Common Schema, and Splunk Common Information Model
  • Knowledge of data transformation processes and experience documenting and maintaining data lineage, especially traceability of transformed data to source data
  • Solid data modeling and normalization skills for heterogeneous sources, including mapping to a common schema
  • Knowledge of Federal Cybersecurity and Risk Management policies and practices, including FISMA; NIST SP 800-37, 800-53, 800-30, and 800-39; and FedRAMP
  • Solid understanding of Git, version control workflows, and CI/CD

Preferred Qualifications
  • Direct experience integrating Armis and/or Axonius, or comparable CAASM / asset-intelligence platforms (e.g., Tenable, Qualys, ServiceNow)
  • Experience utilizing data cataloging and governance tools (e.g., Alation, Collibra)
  • Containerization and orchestration (Docker, Kubernetes) and infrastructure-as-code (Terraform, Ansible)
  • CI/CD tooling (GitLab CI, Jenkins) and DevSecOps practices in cloud (AWS GovCloud / Azure Government a plus)
  • Experience with monitoring/observability tooling and data-reconciliation frameworks
  • Knowledge of cybersecurity tools and technologies
  • Active DHS Public Trust or prior EOD
  • Familiarity with Agile / SCRUM methodologies
  • Strong problem-solving and analytical skills, with a sense of urgency and the ability to prioritize and balance multiple tasks
Freedom to Thrive.
Why Join SERVISS? Our goal as an employer is simple yet profound: to create an environment where you can be your best self, pursue your passions, and enjoy the freedom to thrive both personally and professionally. Your success is our success, and we're committed to supporting you every step of the way.
  • Highly competitive compensation and best in class benefits
  • 100% of medical, vision, dental, and life insurance premiums paid for by SERVISS
  • Be part of an exciting company with ground floor opportunities in the Equity Participation Program
  • Opportunities for annual performance bonuses and growth incentives
  • 401(k) retirement plan with 6% dollar for dollar match
Additional Considerations for HUBZone applicants:
Preference may be given to applicants residing in a federal HUBZone in support of SERVISS LLC's HUBZone workforce objectives; all qualified candidates are encouraged to apply.
How to Determine HUBZone Residency:
Candidates can verify HUBZone eligibility by entering their home address into the SBA HUBZone Map at https://maps.certify.sba.gov/hubzone/map. If your residence falls within a designated HUBZone area on the map, you are considered a HUBZone resident for hiring preference purposes.

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