ZipRecruiter

Log In

1

Summer Big Data Analytics Jobs (NOW HIRING)

Tror AI for everyone

Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

Big Data Developer Location: Georgia (GA) Work Authorization: Only USC / GC Experience: 8+ Years ... Collaborate with data architects, analysts, and application teams to deliver data solutions.

3B Staffing LLC

Big Data Developer

Jersey City, NJ · On-site

$55.25 - $71.75/hr

Role: Senior Big Data Developer Work Location: Jersey City, NJ Local only Duration: 6+ Months ... Work with business and functional analysts, and software & solution architects in ensuring that ...

3B Staffing LLC

Big Data Developer

Jersey City, NJ

$55.25 - $71.75/hr

Role: Senior Big Data Developer Work Location: Jersey City, NJ Local only Duration: 6+ Months ... Work with business and functional analysts, and software & solution architects in ensuring that ...

Ventures Unlimited Inc

Big Data Architect

Louisville, KY · On-site

$61.25 - $78.75/hr

Big Data Architect Location : Louisville, KY Duration: Full Time : 10-15 yrs. total experience in ... Analyze, design, develop, test and deploy data driven analytics, event driven/ real time analytics ...

previous page

Showing results 41-60

All Jobssummer JobsTechnology JobsSummer Big Data Analytics Jobs

Summer Big Data Analytics information

See salary details

$57

$59

$60

How much do summer big data analytics jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for summer big data analytics in the United States is $59.24, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $59.86 per hour, depending on experience, location, and employer.

What is a Summer Big Data Analytics?

A Summer Big Data Analytics job is a temporary or internship position where students or recent graduates work with large datasets to uncover patterns, trends, and insights. These roles typically involve using analytical tools and programming languages such as Python, R, SQL, or Hadoop to process and analyze data. Participants may assist in building data models, generating reports, and providing actionable recommendations to help businesses make data-driven decisions. It's a great opportunity to gain hands-on experience in the growing field of data analytics, often within a corporate, research, or technology environment.

What are the key skills and qualifications needed to thrive as a Summer Big Data Analytics professional?

To thrive in a Summer Big Data Analytics role, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or experience in data science or analytics. Familiarity with big data tools such as Hadoop, Spark, and data visualization platforms like Tableau is typically required. Strong problem-solving skills, attention to detail, and effective communication set candidates apart in this position. These skills and qualities are crucial for extracting actionable insights from complex datasets and presenting findings clearly to drive business decisions.

What types of projects can I expect to work on during a Summer Big Data Analytics role?

In a Summer Big Data Analytics position, you can expect to work on projects involving data collection, cleaning, and analysis to uncover actionable insights for the organization. Common tasks include building data pipelines, creating visualizations, and applying statistical or machine learning models to large datasets. You may collaborate closely with data engineers, business analysts, and other interns, often participating in team meetings to present findings and receive feedback. These projects are designed to give you hands-on experience with real-world data challenges while contributing meaningfully to ongoing business initiatives.

What is the difference between Summer Big Data Analytics vs Summer Data Science?

AspectSummer Big Data AnalyticsSummer Data Science
Required CredentialsBachelor's in Computer Science, Data Analytics, or related field; familiarity with big data toolsBachelor's or Master's in Data Science, Statistics, or related; programming skills in Python/R
Work EnvironmentData analysis teams, tech companies, finance, healthcareResearch teams, tech firms, consulting, academia
Employer & Industry UsageUsed in industries handling large datasets for insightsApplied in predictive modeling, machine learning projects

Summer Big Data Analytics focuses on analyzing large datasets using specialized tools, while Summer Data Science encompasses broader data modeling and machine learning tasks. Both roles often overlap but differ in scope and skill emphasis.

What cities are hiring for Summer Big Data Analytics jobs?

Cities with the most Summer Big Data Analytics job openings:

What are the most commonly searched types of Big Data Analytics jobs?

The most popular types of Big Data Analytics jobs are:

What states have the most Summer Big Data Analytics jobs?

States with the most job openings for Summer Big Data Analytics jobs include:

Summer Big Data Analytics jobs near you

Big Data Infrastructure Administrator

Right Talent Right Now

Plano, TX • On-site

Full-time

Re-posted 7 days ago

Job description

Job Description


Big Data Infrastructure Administrator


Merrimack NH or Dallas TX 

 12 Months contract

 Great pay


 Phone and Skype Interview 

  Job Description :

This role provides an exciting opportunity to roll out a new strategic initiative within the firm-- Enterprise Infrastructure Big Data Service. The Big Data Infrastructure DevOps / Support Administrator serves as a development and support expert with responsibility for the design, development, automation, testing, support and administration of the Enterprise Infrastructure Big Data Service. This will involve building and supporting a general purpose data analytics platform utilized by Fidelity's data scientist community. The incumbent will be responsible for developing features, ongoing support and administration, and documentation for the service. The platform provides a data hub and a blueprint for integrating with existing upstream and downstream technology solutions.


This role is DevOps and support administration. The position requires a strong background in computer architecture, software development, data management systems, distributed computing, and a solid understanding of the open-source technology ecosystem. An ideal prospect will have technical expertise, customer engagement skills, excellent communication skills, and a passion for organizing and analyzing data.


Primary Responsibilities

The incumbent will have the opportunity of working directly across the firm with developers, operations staff, data scientists, architects and business constituents to develop and enhance the big data service. Key responsibilities include:

Development, support, and maintenance of the infrastructure platform and application lifecycle

Design, development and implementation of automation innovations

Development of automated testing scripts

Building and nurturing relationships with Fidelity's developer and system administration communities

Contribution to all phases of the application lifecycle - requirements, development, testing, implementation, and support.

Responding and providing guidance to customers of the Big Data platform

Defining and implementing integration points with existing technology systems

Interacting with and participating in open-source software communities

Researching and remaining current on big data technology and industry trends and innovations

Participating in a 24 x 7 hour on-call support rotation


Education and Experience

B.S. Computer Science or equivalent

Master's degree is a plus

5+ years application development or systems administration experience

5+ years of development experience in one or more of the following languages: Java, C++, Perl, Python

Experience deploying or managing open-source software

Strong experience with any Linux distribution


Experience with Kafka and Cloudera

2+ years Hadoop experience

Database administration experience a plus


Skills and Knowledge

Certification and experience working in Hadoop

Certification and working experience in a NoSQL database

Experience with Splunk/HUNK or Solr solutions and dashboards running on Big Data technologies such as Hadoop

Strong background in Linux/Unix Administration

Agile Scrum or Kanban experience

Global team experience

Experience with automation/configuration management using Chef, Puppet or an equivalent

Programming in CI/CD technologies is a plus

Knowledge designing scalable distributed systems

Awareness of both current and developing technologies

Strong desire to innovate and develop future technology

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply