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Elk Stack Jobs in Virginia (NOW HIRING)

Mid-Level DevOps Engineer

Reston, VA · On-site

$55 - $75.25/hr

Prometheus, Grafana, ELK stack, Portainer * Linux systems experience including BASH Scripting * Git workflow experience (git flow, image promotion) * Familiarity with REST, WAMP, gRPC, RabbitMQ, and ...

Senior Data Engineer

Mclean, VA · On-site

$108.70K - $147.70K/yr

Implement comprehensive data observability and proactive monitoring solutions using AWS CloudWatch, Grafana, and the ELK Stack. Streamline development through DevOps best practices, maintaining ...

New

Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Familiarity with ELK stack * Familiarity with running python in various virtual machine architectures * 4 year degree, 3+ years experience Additional Information CLEARANCE REQUIREMENT: MUST HAVE TS ...

Senior Data Engineer @ W2

Mclean, VA · On-site

$117.50K - $141.10K/yr

Implement comprehensive data observability and proactive monitoring solutions using AWS CloudWatch, Grafana, and the ELK Stack. Streamline development through DevOps best practices, maintaining ...

New

Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference events, errors, and audit trails for debugging and compliance. * Pipeline Automation : Develop CI/CD pipelines with ...

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Showing results 1-20

Elk Stack information

See Virginia salary details

$44.3K

$120.9K

$173.3K

How much do elk stack jobs pay per year?

As of May 31, 2026, the average yearly pay for elk stack in Virginia is $120,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $139,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ELK Stack Engineer, and why are they important?

To thrive as an ELK Stack Engineer, you need a solid understanding of Elasticsearch, Logstash, and Kibana, as well as experience with data indexing, search, and visualization, typically supported by a degree in computer science or related field. Familiarity with tools like Beats, scripting languages (such as Python or Bash), and certifications like Elastic Certified Engineer are commonly valuable. Strong problem-solving, analytical thinking, and effective communication skills help you interpret data requirements and collaborate with teams. These competencies are crucial to designing, implementing, and maintaining scalable log management and analytics solutions that support business operations.

What are some typical challenges faced when managing and scaling an ELK Stack deployment in a production environment?

One common challenge is ensuring the ELK Stack remains performant as log volume and query complexity increase, which often requires careful resource planning and tuning of Elasticsearch indices. Another challenge is maintaining data security and compliance, as logs can contain sensitive information that must be protected. Additionally, team members often need to collaborate closely with DevOps, security, and development teams to tailor dashboards and alerts to business needs, which can demand strong communication and coordination skills. Proactive monitoring, regular updates, and automation can help address these challenges and ensure reliable log management.

What is the ELK Stack?

The ELK Stack is a collection of three open-source tools—Elasticsearch, Logstash, and Kibana—commonly used for searching, analyzing, and visualizing large volumes of log data in real time. Elasticsearch is a powerful search and analytics engine, Logstash is a data processing pipeline that ingests and transforms data, and Kibana provides visualization capabilities on top of the data stored in Elasticsearch. Together, they help organizations monitor applications, troubleshoot issues, and gain insights from their data.
What cities in Virginia are hiring for Elk Stack jobs? Cities in Virginia with the most Elk Stack job openings:
Infographic showing various Elk Stack job openings in Virginia as of May 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 48% Physical, 2% Hybrid, and 50% Remote job distribution, with an average salary of $120,904 per year, or $58.1 per hour.
DevOps Engineer/Systems Engineer (Mission Systems)

DevOps Engineer/Systems Engineer (Mission Systems)

Node.Digital

Mclean, VA • On-site

$53.25 - $73/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

DevOps Engineer/Systems Engineer (Mission Systems)

Location: McLean, VA
Must have an active TS/SCI FS Poly

Role Overview:

Join a specialized engineering team dedicated to designing, implementing, and maintaining enterprise-grade mission systems, networks, and applications. You will play a critical role in driving DevOps excellence, ensuring high availability, and automating complex cloud infrastructures.

Requirements

Mandatory Skills
  • CI/CD & Automation: Proven experience building and managing robust pipelines with Jenkins (required).
  • Infrastructure as Code (IaC): Strong proficiency in Terraform (required) for provisioning scalable AWS environments.
  • AWS Expertise: Deep hands-on experience with core services, including EC2, S3, RDS, Lambda, VPC, IAM, and CloudWatch.
  • Scripting: Advanced proficiency in Bash and Python (both required) for automation and systems integration.
  • Containerization: Experience managing containerized workloads using Docker or Podman.
  • Database Administration: Experience self-hosting, tuning, and securing PostgreSQL and MySQL, including high-availability and recovery strategies.
  • Observability: Hands-on experience with monitoring and alerting stacks, specifically Prometheus/Alertmanager and CloudWatch.
  • Systems Integration: Proven ability to deploy and integrate diverse ecosystems, including COTS/GOTS, open-source tools, and custom applications.
  • Architecture & Security: Strong grasp of networking fundamentals, IAM policy hardening, and AWS Well-Architected best practices.
  • Version Control: Expert knowledge of Git-based workflows, branching strategies, and repository management.
Preferred Skills
  • Data Operations: Experience managing Lakehouse architectures and data platform components (e.g.,Apache Spark, Tri no, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs).
  • Security & Governance: Familiarity with AWS Secrets Manager/Parameter Store and modern API gateway patterns.
  • Resiliency & Planning: Knowledge of enterprise Disaster Recovery (DR) and Business Continuity Planning (BCP).
  • Advanced Workloads: Background in supporting AI/ML model-serving infrastructure or NoSQL environments (DynamoDB, MongoDB).
  • Efficiency: Experience with AWS cost optimization and right-sizing strategies.
  • Full-Stack Monitoring: Familiarity with the ELK Stack and Grafana for advanced visualization.
  • Leadership: Experience mentoring junior team members and championing DevOps/Cloud-native best practices.

Benefits

We are proud to offer competitive compensation and benefits packages to include

  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training