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Part Time Elasticsearch Engineer Jobs (NOW HIRING)

Software Engineer, Lead

Rome, NY · On-site +1

$112K - $257K/yr

... and ElasticSearch * Ability to work with data transfer protocols * Ability to obtain a TS/SCI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Node.js Developer SME

Herndon, VA · On-site

$86K - $198K/yr

Experience with ElasticSearch * Experience with MongoDB * Experience with Redis * Experience with ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Cloud Architect

Chantilly, VA · On-site +1

$86K - $198K/yr

On our team, you'll design solutions that drive enterprise applications and lead developers ... Experience with Elasticsearch, MongoDB, or Redis Clearance: Applicants selected will be subject to ...

Technical Lead

Reston, VA · On-site

$112K - $257K/yr

You mentor the next set of developers to help them grow into tomorrow's solutions architects. As a ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

... and general-purpose programming languages for data analysis * Experience with software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Showing results 41-55

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:

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.

AI Engineer, Junior-San Antonio, Texas

BOOZ, ALLEN & HAMILTON, INC.

Somerset, TX

$55K - $126K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 16 days ago


Key responsibilities

  • Apply machine learning algorithms and technologies to develop mission-critical solutions.

  • Streamline the software development lifecycle by incorporating open-source tools, automation, cloud resources, and large language models.

  • Implement continuous integration and delivery processes to automate testing and troubleshooting of AI capabilities.


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

AI Engineer, Junior
The Opportunity:
As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. Efficient software development teams make the most of their time by limiting the activities that take developers away from writing their code. That's why we need you, an experienced DevOps engineer, to help us shorten the time it takes to get critical tools developed and into the hands of end-users and decision makers who need them to make time sensitive, timely decisions to protect our nations critical cyber infrastructure.
In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. As an AI/ML engineer on our team, you'll use your development experience to streamline our software development lifecycle from requirements to monitoring in production. You'll incorporate open-source tools, automation, and cloud resources, and large language models to cut down on tedious, boring tasks and free up the team's developers to do what they do best, innovate. You'll implement continuous integration and delivery to limit manual testing and troubleshooting artificial intelligence capabilities. This is an opportunity to build your experience in DevOps and CI/CD while developing software that will improve national security. Join our team as we build tools to transform the future of our cyber infrastructure. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define AI/ML strategy for cyber threat hunting and defensive cyberspace operations.
Join us. The world can't wait.
You Have:
  • 1+ years of experience with operating in a software development environment
  • Experience with leading a team to deliver services to customers
  • Experience in scripting, including with Python, SQL, and API-driven architectures
  • Knowledge of critical concepts in DevOps and Agile principles
  • Knowledge of enterprise search technologies such as Elasticsearch
  • TS/SCI clearance
  • Bachelor's degree

Nice If You Have:
  • Experience developing AI Agents and multi-agent architectures
  • Experience working with modern data platforms, including Databricks, Apache Spark, or Snowflake
  • Ability to triage issues, react well to changes, work with teams, and multi-task on multiple products and projects
  • Possession of excellent verbal and written communication skills
  • DoD 8570 IAT Level II Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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 $55,300.00 to $126,000.00 (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.

What Booz Allen Hamilton employees say

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About Booz Allen Hamilton

Sourced by ZipRecruiter

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