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Big Data Intern Jobs (NOW HIRING)

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... LightGBM Data Processing & Big Data * Pandas * NumPy * Apache Spark * PySpark * Hadoop NLP ...

Strong SQL and/or Big Query skills in Big Data environment. * Formal coursework and/or familiarity with AI/Machine learning * Experience working with large datasets, knowledge of distributed ...

We are looking for a motivated Data Science Intern to join our team. This role offers hands-on ... Exposure to big data tools (Spark, Hadoop) is a plus This posting will be used to fill a newly ...

Sales Intern- Sunnyvale

Sunnyvale, CA · On-site

$17.50 - $23.75/hr

... Intern to join us evangelize iCharts. Experience iCharts. There's the typical job. Punch in, write ... Big Data, Business Intelligence and Data Visualization Use SalesForce.com for lead management and ...

Sales Intern- Sunnyvale

Sunnyvale, CA · On-site

$17.50 - $23.75/hr

... Intern to join us evangelize iCharts. Experience iCharts. There's the typical job. Punch in, write ... Rapidly learn Big Data, Business Intelligence and Data Visualization * Use SalesForce.com for lead ...

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Big Data Intern information

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How much do big data intern jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for big data intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Big Data Intern vs Data Analyst Intern?

AspectBig Data InternData Analyst Intern
Required SkillsBasic knowledge of big data tools (Hadoop, Spark), programming (Python, SQL)Data analysis, visualization, SQL, Excel
Work EnvironmentData engineering teams, big data platformsBusiness intelligence teams, data reporting
Industry UsageTech, finance, healthcare with large datasetsRetail, marketing, finance for data insights

Big Data Interns focus on working with large-scale data processing tools and platforms, often in engineering environments. Data Analyst Interns primarily analyze and visualize data to support business decisions. Both roles require some programming and data skills but differ in their focus and tools used.

What are the key skills and qualifications needed to thrive as a Big Data Intern, and why are they important?

To thrive as a Big Data Intern, you typically need foundational knowledge in computer science, statistics, and data analysis, often supported by coursework or relevant academic projects. Familiarity with programming languages such as Python or Java, data processing tools like Hadoop or Spark, and experience with databases are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out when collaborating on projects and interpreting data insights. These skills are crucial for efficiently analyzing large datasets, contributing to team objectives, and developing practical solutions to real-world data challenges.

What kinds of projects and tasks can I expect to work on as a Big Data Intern?

As a Big Data Intern, you’ll typically assist with collecting, cleaning, and analyzing large datasets using tools like Hadoop, Spark, or SQL. You may support building data pipelines, performing exploratory data analysis, and visualizing insights to help teams make data-driven decisions. Interns often collaborate closely with data engineers, analysts, and other team members, gaining exposure to real-world data challenges and agile project workflows. These experiences provide valuable technical skills and networking opportunities that can lead to full-time roles after graduation.

What does a Big Data Intern do?

A Big Data Intern assists data engineering and analytics teams by helping to collect, process, and analyze large-scale datasets. They often support tasks such as data cleaning, running queries, working with big data tools like Hadoop or Spark, and creating basic reports or visualizations. This role provides hands-on experience with real-world data challenges and helps interns develop technical skills in big data technologies. Interns may also participate in team meetings, contribute to ongoing projects, and learn best practices in data security and management.
What cities are hiring for Big Data Intern jobs? Cities with the most Big Data Intern job openings:
What are the most commonly searched types of Big Data jobs? The most popular types of Big Data jobs are:
What states have the most Big Data Intern jobs? States with the most job openings for Big Data Intern jobs include:
Infographic showing various Big Data Intern job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Graduate (Year-Round) Intern: Geospatial Data Science Modeling and Analysis

Nrel

Golden, CO

Full-time

Medical, Dental, Vision, Retirement

Posted 13 hours ago


Job description

Posting TitleGraduate (Year-Round) Intern: Geospatial Data Science Modeling and Analysis

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LocationCO - Golden

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Position TypeIntern (Fixed Term)

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Hours Per Week40

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Working at NLRNLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.

Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.

At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.

Job Description

The Geospatial Data Science (GDS) team within the Strategic Energy Analysis Center at the National Laboratory of the Rockies (NLR) is seeking a 6-12-month intern to support modeling and analysis. The GDS group conducts research at the intersection of energy deployment, big data science, and geospatial modeling and visualization. Our team of researchers develops and applies geospatial algorithms and methods to evaluate the deployment potential for energy technologies, including geothermal, hydropower, transmission, bioenergy, wind, and solar. Geospatial modeling at NLR enables detailed techno-economic assessment, capacity expansion, and power systems modeling of energy resources under a variety of regulatory, sociopolitical, and environmental factors from local to continental scales.

The successful intern candidate will support a large and diverse modeling portfolio with activities involving geospatial analyses, literature reviews, cartography, scientific programming, and tasks focused on data preparation, processing, and validation. This position will assist geospatial scientists in developing novel analytical solutions to complex challenges in energy siting, deployment, and adoption. Candidates should be interested in working in an interdisciplinary field, together with geospatial data scientists, software developers, and policy analysts, which will require excellent interpersonal and communication skills.

Duties will include:

  • Manipulating multiple data sources, models, and software tools with scientific and engineering workflows for decision support and data analysis
  • Preparing and processing geospatial data using open-source desktop software and programmatic approaches
  • Conducting background research on data sets, current modeling approaches, and existing tools
  • Developing literature reviews under the guidance of research scientists
  • Programming and scripting in Python to conduct analysis and visualize data
  • Working in distributed computing environments including internal servers, NLR's high-performance computing (HPC) system and the Cloud

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Basic QualificationsMinimum of a 3.0 cumulative grade point average.
Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution.
Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution.
Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution.
Please Note:
Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
If selected for position, a letter of recommendation will be required as part of the hiring process.
Must meet educational requirements prior to employment start date.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications
  • Must have completed a bachelor's degree and either: be enrolled in or recently graduated from a master's degree or currently enrolled in a PhD program in fields such as: Geography/GIS, Environmental Science, Computer Science, Engineering, or a related technical field
  • To be considered, all candidates must include in their resume and an online code repository such as GitHub with several publicly visible coding projects. Alternatively, please explain in your cover letter why your application does not include a code repository and/or several examples of previous projects
  • Demonstrated experience working independently with programming skills in python and libraries such as geopandas, numpy, scipy, shapely, pyproj
  • Proficiency and experience with geospatial analysis and modeling techniques using open-source tools, such as QGIS; (please note that ESRI tools are not usedin this research group)
  • Experience working with geographic transformations and projections
  • Ability to work within a dynamically evolving digital environment as a member of collaborative and often-dispersed team
  • Critical thinking skills; analytic and research skills; written and verbal communication skills
Preferred Qualifications
  • Experience with linux/unix

  • Experience with collaborative code development

  • Experience with Machine Learning

  • Experience with the Geospatial data abstraction library (GADL)

  • Experience with big geospatial data processing

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Job Application Submission Window

The anticipated closing window for application submission is up to 30 days and may be extended as needed.

Annual Salary Range (based on full-time 40 hours per week)Job Profile: / Annual Salary Range: $44,500 - $71,200

NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.

Benefits SummaryBenefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.

* Based on eligibility rules

Badging RequirementNLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement.Drug Free Workplace

NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.

If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.

Submission Guidelines

Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

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Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

Reasonable Accommodations

E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.

E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.