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Part Time Elasticsearch Engineer Jobs (NOW HIRING)

NLM Sr. Cloud Engineer

Rockville, MD ยท On-site

$62.49 - $71.86/hr

Exempt, Full-Time Regular (1) and Non-Exempt, Part-Time Regular (1) (Ask our recruiters about ... Administer databases such as MySQL, PostgreSQL, MongoDB, and ElasticSearch. Requirements Minimum ...

AI Engineer

Reston, VA ยท On-site

$99K - $225K/yr

... Elasticsearch, and Retrieval-Augmented Generation (RAG) pipelines * Ability to translate early ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Engineer

Reston, VA ยท On-site

$99K - $225K/yr

... Elasticsearch, and Retrieval-Augmented Generation (RAG) pipelines * Ability to translate early ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$69K - $158K/yr

Experience with GEOAxIS, Elasticsearch, Helm, and Terraform * Experience with DevOps CI/CD pipeline ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

DevOps Engineer

Arlington, VA ยท 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 ...

DevOps Engineer, Mid

Chantilly, VA ยท On-site

$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 ...

Data Engineer, Mid

Alexandria, VA ยท On-site

$62K - $141K/yr

... MongoDB, or Elasticsearch, to support deployment and configuration * Knowledge of the Software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Arlington, VA ยท Hybrid

$77K - $176K/yr

... Elasticsearch, Solr, MongoDB, or Cassandra * 5+ years of experience with data warehousing and ... 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 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.

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 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 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.
More about Part Time Elasticsearch Engineer jobs
What cities are hiring for Part Time Elasticsearch Engineer jobs? Cities with the most Part Time Elasticsearch Engineer job openings:
What are the most commonly searched types of Elasticsearch Engineer jobs? The most popular types of Elasticsearch Engineer jobs are:
NLM Sr. Cloud Engineer

NLM Sr. Cloud Engineer

Ripple Effect

Rockville, MD โ€ข On-site

$62.49 - $71.86/hr

Full-time, Part-time

Posted 10 days ago


Job description

Are you passionate about building secure, scalable cloud infrastructure that supports groundbreaking biomedical research and public health initiatives? Do you thrive in a collaborative environment where your cloud engineering expertise can directly impact national health data systems and scientific discovery?

Ripple Effect is looking for a Cloud Engineer with 12+ years of experience in designing and supporting secure and scalable cloud infrastructure to support our client's mission. The Cloud Engineer will play a pivotal role in supporting the National Library of Medicine (NLM)โ€”a global leader in biomedical research and data scienceโ€”in its efforts to accelerate biomedical discovery and improve public health through data-powered research. Serving as the senior technical expert, this role will be responsible for designing, implementing, and maintaining secure, scalable, and high-performance cloud infrastructure across Azure, AWS, and GCP platforms. The engineer will support a wide range of initiatives, including scientific computing, data analytics, DevOps automation, and cybersecurity compliance.

If this position sounds of interest, thereโ€™s a place for you here at Ripple Effect! We offer a diverse and engaging work environment, with a multitude of incentives and flexible work options that work for you and your lifestyle.

General Information

  • Job Code: CIT-EQ-05T
  • Location: Client/NIH Main Campus
  • Employee Type: Exempt, Full-Time Regular (1) and Non-Exempt, Part-Time Regular (1)
    (Ask our recruiters about flexible work arrangements)
  • Telework: None/Client Site
  • Clearance: Public Trust
  • Number of Openings: may have multiple openings
  • Salary Range: (how we pay and promote)
      • $129,985 - $149,483 per year for the full-time position
      • $62.49 - $71.86 per hour for the part-time position

Responsibilities

  • Cloud Infrastructure Engineering: Design and deploy cloud-native and hybrid infrastructure solutions that meet performance, scalability, and security requirements. Architect and implement network infrastructure and technical solutions that support biomedical computing workloads.
  • DevOps & Automation: Develop and maintain CI/CD pipelines using tools such as GitLab, GitHub, Jenkins, Kubernetes, and Ansible. Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools like Terraform, Puppet, and CDK.
  • Security & Compliance: Integrate and enforce security best practices, including FISMA and FedRAMP compliance, into all cloud operations. Support the development and maintenance of Authority to Operate (ATO) documentation and System Security Plans (SSPs).
  • Monitoring & Performance Optimization: Implement and manage monitoring and logging solutions (e.g., Prometheus, Grafana, EFK stack) to ensure system reliability and performance. Analyze cloud usage and cost models to optimize resource allocation and reduce operational expenses.
  • Collaboration & Documentation: Work closely with developers, system administrators, and cybersecurity teams to support application development and deployment. Maintain comprehensive documentation using tools like Confluence and JIRA.
  • Database & System Integration: Provide technical support for systems and database design, including integration of open-source software and cloud-native services. Administer databases such as MySQL, PostgreSQL, MongoDB, and ElasticSearch.

Requirements

Minimum Education and Experience

  • High School Diploma
  • 12 years of relevant professional experience

Basic Requirements

  • Experience in designing, developing, and deploying complex cloud infrastructures using Azure, AWS, and Google Cloud Platform (GCP)
  • Ability to architect and implement network infrastructure and technical solutions at scale
  • Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC) tools such as Terraform, Ansible, Puppet, and Cloud Development Kit (CDK).
  • Understanding of monitoring and logging tools such as Prometheus, Grafana, and the EFK stack.
  • Experience supporting cloud operations across SaaS, PaaS, and IaaS environments.
  • Proficiency in database technologies such as MySQL, PostgreSQL, MongoDB, MS SQL, RDS, and ElasticSearch.
  • Knowledge and application of Federal Information Security Modernization Act (FISMA) and FedRAMP compliance requirements.
  • Ability to implement and manage firewalls, intrusion detection systems, and disaster recovery strategies.
  • Ability to provide technical support and guidance to development teams and stakeholders.
  • Experience using tools like JIRA, ServiceNow, and Confluence for issue tracking and documentation.
  • Strong communication skills for working in a highly technical environment and translating complex issues into plain language.
  • Must be able and willing to work onsite multiple days per week in Bethesda, MD.

To be successful at Ripple Effect, you must be able to pay attention to details, clearly communicate, work independently, and have an eagerness to learn. Learn more about what makes Ripple so great check out our capabilities.

Skills That Set You Apart

  • Strong background in containerization and orchestration technologies including Docker, Kubernetes, Anthos, and OpenShift
  • Previous experience developing and maintaining System Security Plans (SSPs) and Authority to Operate (ATO) documentation
  • Experience using vulnerability scanning and penetration testing tools like Tenable, Prowler, OWASP ZAP, and Netspark.
  • Previous experience with NIH or NLM (highly desirable)
  • Additional years of experience
  • Undergraduate or advanced degrees

If you donโ€™t have all of the skills above, donโ€™t be discouragedโ€”no resume paints a complete picture of a person. Thereโ€™s a good chance youโ€™re more wonderful than you think, so please apply!

About Ripple Effect

Ripple Effect is an award-winning women-owned small business providing professional consulting and exceptional talent for federal, private, and non-profit clients. We deliver multi-disciplinary solutions across Communications & Outreach, Research & Evaluation, Program Management & Policy, Digital Transformation, and Technical & Scientific Support solutions with a focus on science, research, and healthcare domains.

Hiring Process | Life at Ripple

Benefits

Ripple Effect rewards our employees for their contributions to our mission in many ways, from competitive pay and exceptional benefits to a range of work/life programs based on your employment classification and personalized preferences.

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Ripple Effect is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, political affiliation, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation during the hiring process, please let us know by contacting our HR department at HR@rippleeffect.com or your recruiter. Eligibility for employment will be verified using E-verify.