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Internship Elasticsearch Engineer Jobs (NOW HIRING)

Spokeo

Senior Data Engineer

Pasadena, CA · On-site +1

$143K - $174K/yr

... internships and academic settings excluded). * Proven experience working with large datasets ... e.g., DynamoDB, Elasticsearch, etc.). * A bachelor's degree in Computer Science, Information ...

Capital One

Lead Software Engineer, DevOps

Mclean, VA · On-site

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 ...

Spokeo

Senior Data Engineer

Pasadena, CA · Remote

$115K - $157K/yr

... internships and academic settings excluded). * Proven experience working with large datasets ... e.g., DynamoDB, Elasticsearch, etc.). * A bachelor's degree in Computer Science, Information ...

Capital One

Lead Software Engineer, DevOps

Mclean, VA · On-site

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 ...

Notion

Software Engineer, New Grad

San Francisco, CA · On-site

Must be able to start full-time prior to July 27, 2026. • Previous internship experience. • ... React, TypeScript, Node.js, Postgres, and Elasticsearch. • You're a builder who finds joy in ...

Kharon

Data Engineer

Denver, CO · On-site

$120K - $160K/yr

QUALIFICATIONS: * 3+ years of experience, not including internships as a software engineer or a ... Understanding of elasticsearch data and query modeling is a big plus. * Interests or experience in ...

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Internship Elasticsearch Engineer information

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How much do internship elasticsearch engineer jobs pay per hour?

As of Jul 14, 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 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.

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 are the typical projects and responsibilities for an Elasticsearch Engineer intern?

As an Elasticsearch Engineer intern, you can expect to work on projects involving the design, implementation, and optimization of search and analytics solutions using the Elasticsearch stack. Daily tasks may include indexing data, writing queries, monitoring cluster health, and collaborating with senior engineers to troubleshoot performance issues. Interns often assist with integrating Elasticsearch into existing applications, setting up dashboards with Kibana, and contributing to documentation. This role offers the opportunity to learn industry best practices and gain hands-on experience in managing distributed systems.
More about Internship Elasticsearch Engineer jobs
What cities are hiring for Internship Elasticsearch Engineer jobs? Cities with the most Internship Elasticsearch Engineer job openings:
What are the most commonly searched types of Elasticsearch Engineer jobs? The most popular types of Elasticsearch Engineer jobs are:
What states have the most Internship Elasticsearch Engineer jobs? States with the most job openings for Internship Elasticsearch Engineer jobs include:
What job categories do people searching Internship Elasticsearch Engineer jobs look for? The top searched job categories for Internship Elasticsearch Engineer jobs are:
Internship Elasticsearch Engineer jobs near you
Infographic showing various Internship Elasticsearch Engineer job openings in the United States as of July 2026, with employment types broken down into 4% As Needed, 77% Full Time, 1% Part Time, 4% Contract, and 14% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Senior Data Engineer

Senior Data Engineer

Spokeo

Pasadena, CA • On-site, Remote

$143K - $174K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Job description

About Spokeo:
Join our mission to make the world more transparent with data.
Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo's 60 billion public records to improve customer research, help verify information, and prevent fraud.
Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. It has earned recognition from Comparably as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership.
About this Opportunity
As a Senior Data Engineer at Spokeo, you will develop, optimize, and improve our data systems, including ETL pipelines, storage, and entity resolution. This involves working with infrastructure built in AWS, including Airflow, PySpark, EMR, S3, DynamoDB, and more. This role will help build and improve data products, automation platform features, analytical software packages, and data pipeline orchestration tools.
What You'll Do:
  • Build infrastructure and data automation pipelines to ingest, process, and load data from various sources. Automate and integrate new components into the data pipeline.
  • Collaborate with stakeholders and data science teams to develop data products, including entity resolution and best selection, to efficiently execute product vision and strategy in alignment with organizational goals and priorities.
  • Create unit and stress-test components to monitor technical performance and ensure that identified issues are resolved.
  • Develop data analysis tools to provide data insights and capture key metrics.
  • Research solutions and maintain technical documentation.
  • Follow best practices for data governance, quality, cleansing, and other ETL-related activities.

Who You Are:
  • 7+ years of development experience in data engineering within a production environment (internships and academic settings excluded).
  • Proven experience working with large datasets exceeding 100M+ records or multiple terabytes.
  • 2+ years of development experience in highly scalable, distributed systems and cluster architectures using AWS and utilizing EMR.
  • 5+ years of hands-on programming experience with Python.
  • 5+ years of professional experience working in big data ecosystems; Spark is required; PySpark is preferable.
  • 3+ years of experience with SQL, schema design, and dimensional data modeling.
  • 2+ years of professional experience working with dataflow orchestration tools, such as Airflow.
  • 2+ years of experience with non-relational databases (e.g., DynamoDB, Elasticsearch, etc.).
  • A bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field is required.

Working at Spokeo
Spokeo offers a bonus program, equity plans, and a 401 (k). Once a year, we do a discretionary, merit-based salary increase. Additional benefits include 100% medical/dental/vision coverage and unlimited employee PTO.
Spokeo extends written offers to candidates who successfully complete their selection process. Spokeo's offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits. The final offer will depend on several factors, including marketplace competition, job level, and the candidate's experience and skills.
Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy
Spokeo is an equal-opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from everyone help us grow, innovate, create the best products, and remain relevant in a rapidly changing world.
Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm that presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.
#LI-Remote
Department Data Role Data Engineer Locations Remote, United States Remote status Fully Remote Yearly salary $143,100 - $174,600

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