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Internship Elasticsearch Engineer Jobs (NOW HIRING)

Pattern Data

Software Engineer (Entry)

Richmond, VA · On-site

$90K - $115K/yr

Scala, TypeScript, PostgresQL, GraphQL, Elasticsearch, AWS What You'll Bring * Bachelor's degree in ... Project experience working fullstack; internship experience on a small team is a plus * Curiosity ...

Pattern Data

Software Engineer (Entry)

Richmond, VA · On-site

$90K - $115K/yr

Scala, TypeScript, PostgresQL, GraphQL, Elasticsearch, AWS What You'll Bring * Bachelor's degree in ... Project experience working fullstack; internship experience on a small team is a plus * Curiosity ...

Amazon

Software Development Engineer, IDEAS

Seattle, WA · On-site

... DynamoDB, Redshift, ElasticSearch, Lambda, SQS, SNS, API Gateway and more - Apply software ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Capital One

Lead Software Engineer, DevOps

Richmond, VA · On-site

$52.25 - $71.50/hr

At least 4 years of experience in DevOps Engineering (Internship experience does not apply) * At ... ElasticSearch) * 2+ years of experience with deploying clustered web services * 2+ years of ...

Socket.dev

Lead Software Engineer, DevOps

Manhattan, NY · On-site

$179 - $246/hr

At least 4 years of experience in DevOps Engineering (Internship experience does not apply) * At ... ElasticSearch) * 2+ years of experience with deploying clustered web services * 2+ years of ...

Capital One National Association

$179 - $205/hr

At least 4 years of experience in DevOps Engineering (Internship experience does not apply) * At ... ElasticSearch) * 2+ years of experience with deploying clustered web services * 2+ years of ...

New

Capital One

Lead Software Engineer, DevOps

Richmond, VA · On-site

$52.25 - $71.50/hr

At least 4 years of experience in DevOps Engineering (Internship experience does not apply) * At ... ElasticSearch) * 2+ years of experience with deploying clustered web services * 2+ years of ...

Socket.dev

Lead Software Engineer, DevOps

Virginia, MN · On-site

$179 - $246/hr

At least 4 years of experience in DevOps Engineering (Internship experience does not apply) * At ... ElasticSearch) * 2+ years of experience with deploying clustered web services * 2+ years of ...

Capital One

Lead Software Engineer, DevOps

Riverwoods, IL · On-site

$54.75 - $75/hr

At least 4 years of experience in DevOps Engineering (Internship experience does not apply) * At ... ElasticSearch) * 2+ years of experience with deploying clustered web services * 2+ years of ...

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Internship Elasticsearch Engineer information

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How much do internship elasticsearch engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship elasticsearch engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What does an internship Elasticsearch engineer do?

An Internship Elasticsearch Engineer works with Elasticsearch, a powerful open-source search and analytics engine, to help organizations manage and analyze large volumes of data. Interns in this role typically assist in developing, configuring, and optimizing Elasticsearch clusters, creating efficient search queries, and integrating Elasticsearch with other applications. They may also help with performance monitoring, troubleshooting issues, and ensuring data security. The role is ideal for those interested in big data, search technologies, and scalable systems.

What are the key skills and qualifications needed to thrive as an internship Elasticsearch engineer, and why are they important?

To excel as an Internship Elasticsearch Engineer, you need a solid understanding of data structures, algorithms, and basic programming (often in Java or Python), along with a foundational knowledge of search technologies and databases. Familiarity with Elasticsearch, RESTful APIs, and tools like Kibana or Logstash is typically required, and hands-on experience or coursework in distributed systems is valuable. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and adapt in dynamic technical teams. These competencies ensure you can support search solutions, troubleshoot issues, and contribute meaningfully to Elasticsearch projects.

What is the difference between Internship Elasticsearch Engineer vs Junior Elasticsearch Developer?

AspectInternship Elasticsearch EngineerJunior Elasticsearch Developer
Required CredentialsEnrolled in or recent graduate of Computer Science or related fieldEntry-level professional with basic Elasticsearch knowledge
Work EnvironmentInternship setting, supervised, learning-focusedFull-time or part-time entry-level role, collaborative team
Employer & Industry UsageTech companies, startups, consulting firmsIT, software development, data management companies
Common Search & Comparison IntentUnderstanding internship opportunities, entry-level rolesClarifying job responsibilities, career progression

Internship Elasticsearch Engineers are typically students or recent graduates gaining hands-on experience in Elasticsearch within supervised environments. Junior Elasticsearch Developers are entry-level professionals who have basic Elasticsearch skills and work as part of a team to develop and maintain search solutions. Both roles serve as entry points into Elasticsearch careers but differ mainly in experience level and job scope.

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Internship Elasticsearch Engineer jobs near you
Infographic showing various Internship Elasticsearch Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Software Engineer, Platform / Applied AI (Full-Stack)

David Joseph & Company

San Francisco, CA

$180K - $220K/yr

Full-time

Medical

Re-posted 8 days ago

Job description

San Francisco, CA · On-site · Full-time Compensation: $180,000–$220,000 + competitive equity (4-year vest)

About the Company

Our client is an applied AI research lab investigating the boundaries and capabilities of AI through novel datasets and experimentation. Its customers are the foundation-model labs — it serves the frontier AI labs. It reports $25M+ annualized revenue, is one of the fastest-growing companies in its cohort, and is well-backed by top-tier investors, with a founding team from top quant firms, big tech, and leading AI research labs.

Founded 2025 · 11–50 people · Industry: AI / Data

The Role

As a core/founding engineer, you'll build the data infrastructure shaping frontier-model development, owning projects end to end across frontend, backend, and infrastructure.

Tech stack: Next.js / JavaScript / TypeScript, Python, Go · GCP/AWS (serverless, cloud functions) · Kubernetes · Redis · Elasticsearch · Kafka / RabbitMQ · NoSQL · APIs.

Requirements
  • From a top university (US/Canadian/UK), a top quant firm, or with founding-engineer experience
  • Strong coding fundamentals in Node.js / TypeScript, Python, and/or Go
  • Deep understanding of distributed systems, scalability challenges, and system design
  • Familiarity with cloud platforms (GCP/AWS), Kubernetes, APIs, and NoSQL databases
  • Able to reason about trade-offs and balance speed vs reliability
  • Strong communication and a bias toward ownership, curiosity, and simple solutions to complex problems
  • Bonus: experience with RL environments, agentic systems, or human-in-the-loop workflows
Nice to Haves
  • An active GitHub — a builder at heart
  • Experience with AI agents and RL environments
  • A top quant firm or founding-engineer background (or multiple internships) at high-growth startups
  • Has trialed or succeeded in past fast-paced startup roles with strong references
  • Works autonomously yet collaboratively, comfortable with an intense pace
  • Ex-founders whose product was genuinely sophisticated and complex
Why Join
  • Founding ownership: one of the first hires; own entire projects end to end and define the data infrastructure from day one
  • Frontier impact: build the data infrastructure shaping frontier-model development, with the frontier AI labs as direct customers
  • Trajectory and backing: one of the fastest-growing companies in its cohort, $25M+ annualized revenue, with a path to lead and grow an engineering team
  • Comp and perks: competitive salary + equity (4-year vest), daily lunch and dinner, free gym membership, health insurance
Details
  • Location — San Francisco, CA
  • Work policy — On-site
  • Compensation — $180,000–$220,000 + competitive equity (4-year vest)
  • Visa sponsorship — Available (O-1, OPT)
  • Employment type — Full-time