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Part Time Elasticsearch Engineer Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

AI/ML Engineer

Dayton, OH · On-site +1

$99K - $225K/yr

Experience with Elasticsearch index * Experience with relational databases such as Postgres ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Chantilly, VA · On-site +1

$62K - $141K/yr

Experience using or managing ArgoCD, Grafana, or Elasticsearch * Experience with Jenkins or GitLab ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Arlington, VA · On-site

$61K - $141K/yr

Experience working with Elasticsearch, Logstash, and Kubernetes (ELK) stacks * Knowledge of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

Experience with Prometheus, Grafana or ElasticSearch, Kibana, and FluentD * Experience with the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Cloud Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

Experience using or managing ArgoCD, Grafana, ElasticSearch, and Prometheus * Experience with ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Cloud Engineer

Chantilly, VA · On-site +1

$69K - $158K/yr

Experience using or managing ArgoCD, Grafana, Elasticsearch, and Prometheus * Experience with ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Elasticsearch Engineer information

What does a part time Elasticsearch engineer do?

A Part Time Elasticsearch Engineer is responsible for designing, implementing, and maintaining Elasticsearch clusters and solutions on a part-time basis. Their tasks often include configuring indices, optimizing queries, ensuring data security, and troubleshooting issues related to Elasticsearch performance and scaling. They may also assist development teams in integrating Elasticsearch with applications and provide guidance on best practices. Working part-time means their hours are typically flexible, making this role suitable for those who balance multiple commitments or projects.

What are the key skills and qualifications needed to thrive as a part time Elasticsearch engineer, and why are they important?

To thrive as a Part Time Elasticsearch Engineer, you need a strong understanding of Elasticsearch architecture, search algorithms, and experience with distributed systems, usually supported by a degree in computer science or equivalent experience. Familiarity with tools like Kibana, Logstash, RESTful APIs, and cloud platforms, as well as relevant certifications such as Elastic Certified Engineer, is highly desirable. Problem-solving skills, attention to detail, and effective communication are valuable soft skills for collaborating with teams and troubleshooting issues. These abilities are vital to ensure efficient data indexing, robust search solutions, and seamless integration within dynamic technical environments.

What are some common challenges faced by part time Elasticsearch engineers, and how can they effectively manage them?

Part-time Elasticsearch Engineers often face challenges such as staying updated with ongoing changes in cluster configurations and ensuring smooth hand-offs with full-time team members. Balancing multiple priorities and troubleshooting urgent issues within a limited schedule can also be demanding. To manage these challenges, clear documentation, regular communication with the team, and utilizing project management tools can help maintain alignment and efficiency. Being proactive in knowledge sharing and setting defined work hours also supports smoother collaboration and minimizes disruptions.

What is the difference between Part Time Elasticsearch Engineer vs Part Time Data Analyst?

AspectPart Time Elasticsearch EngineerPart Time Data Analyst
Required SkillsElasticsearch, data indexing, search optimizationData interpretation, SQL, visualization tools
Work EnvironmentTech companies, IT departments, cloud servicesBusiness, finance, marketing sectors
CertificationsElasticsearch certifications, IT credentialsData analysis certifications, SQL certifications
Common UsageManaging search infrastructure, data retrievalAnalyzing data trends, reporting

The main difference is that Part Time Elasticsearch Engineers focus on setting up and maintaining search infrastructure using Elasticsearch, while Part Time Data Analysts interpret data and generate reports. Both roles require analytical skills but serve different technical and business needs.

More about Part Time Elasticsearch Engineer jobs

What are the most commonly searched types of Elasticsearch Engineer jobs?

The most popular types of Elasticsearch Engineer jobs are:

What job categories do people searching Part Time Elasticsearch Engineer jobs look for?

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Part Time Elasticsearch Engineer jobs near you
Infographic showing various Part Time Elasticsearch Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Security Engineer

Booz Allen Hamilton, Inc.

Annapolis, MD • On-site, Remote

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 25 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants

Job description


Remote Work:
No
Job Number:
R0245101
Location:
Annapolis Junction,MD,US
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Security Engineer
The Opportunity:
We need a technical professional responsible for designing, building, and maintaining systems that protect an organization's data, networks, and IT infrastructure from cyber-attacks. In this position, you will focus on proactive defense by creating secure architectures and automated defenses.
What You'll Work On:
  • Design and deploy firewalls, intrusion detection systems or intrusion prevention systems (IDS/IPS), and encryption protocols.
  • Conduct regular penetration tests and security audits to identify and patch system weaknesses.
  • Perform Identity and Access Management (IAM), including implementing policies to ensure only authorized users can access sensitive company data.
  • Lead or assist in the technical response to security breaches, including digital forensics and damage mitigation.
  • Create and enforce company-wide security standards such as password management and data classification.
  • Develop relationships quickly and easily with other teams, communicating the complexities of security with a wide variety of audiences, including senior management.
  • Manage infrastructure and cybersecurity controls, including enhanced detection and vulnerability capabilities and improved event correlation in large enterprises.
  • Lead risk and vulnerability assessments in network, system, and application areas.
  • Leverage big data analytics and traditional security event types to identify advanced threats or indicators of compromise.

Join us. The world can't wait.
You Have:
  • 6+ years of experience administering Elastic Stack, including Elasticsearch, Kibana, Logstash, Beats, or Fleet
  • Experience managing Elasticsearch index lifecycle policies, index templates, and data streams at scale, and building Kibana dashboards, visualizations, and lens-based analytics for security operations
  • Experience with Elastic Security detection rules, alerts, and case management workflows
  • Experience with log ingestion pipeline design, including parsing, enrichment, and normalization across heterogeneous log sources such as network, endpoint, identity, and cloud
  • Experience with Elastic Common Schema (ECS) and mapping non-standard log sources into ECS-compliant fields
  • Experience with ES QL or EQL for advanced threat hunting and detection-as-code workflows
  • Experience working in a DoD, IC, or federal cybersecurity environment such as SOC, SIEM operations, or defensive cyber
  • Secret clearance
  • HS diploma or GED

Nice If You Have:
  • Experience building SOAR-related automation around Elastic, including webhook actions, connector integrations, or n8n or XSOAR orchestration
  • Experience with Elastic's transforms and runtime fields for creating enriched security datasets and risk scoring indices
  • Experience with RAG architectures or vector search in Elasticsearch for security knowledge retrieval, including TTP lookup and incident context enrichment
  • Experience with Elastic's ML jobs, including for User and Entity Behavior Analytics (UEBA), rare process detection, or anomalous login patterns
  • Experience with Elastic AI Assistant or integration of LLMs into Elastic Security workflows such as natural language querying and alert triage assistance
  • Experience building or fine-tuning ML models outside Elastic, including Python, scikit-learn, and PyTorch, for security use cases such as threat detection or lateral movement scoring
  • Knowledge of AI/ML concepts applied to security analytics such as anomaly detection, behavioral baselining, or threat scoring
  • TS/SCI clearance

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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