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Summer Big Data Analytics Jobs (NOW HIRING)

Atria Group LLC

Big Data Analytics Developer

Saint Louis, MO · On-site

$51.50 - $66.75/hr

Senior Big Data Analytics Developer w/proven experience leading the design and build of 'Big Data' algorithmic platforms -- Job responsibilities include implementing the analytics infrastructure ...

idexcel

NJ

This role will be responsible for design and implementation of big data analysis application to support Client's device technology. Data integration from various data sources. Build web service API ...

TestingXperts

Big Data Analytics Process

Houston, TX · On-site

Big Data Analytics Process Greetings for the day! My name is Suneetha from Testing Xperts, we are a global staffing, consulting and technology solutions company, offering industry-specific solutions ...

Software Technology Inc

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

Mid-Level Big Data Engineer The Big Data Engineers on AWS will be responsible for analyzing requirements, prototyping data analysis solutions (primarily in Hive, Hadoop, python), collecting ...

Ova Technologies

Big Data Engineer

Manhattan, NY · On-site

$61.50 - $81.25/hr

Big Data Engineer We are seeking a highly skilled Big Data Engineer to design, develop, and ... Collaborate with Data Scientists, Data Analysts, ML Engineers, and Business Stakeholders to ...

Sonoma Consulting Inc.

Senior Big Data Engineer

Duluth, GA

$51.25 - $68/hr

Developing data analytics, data mining and reporting solutions using Teradata Aster and Hortonworks Hadoop. Working on projects that provide real-time and historical analysis, decision support ...

Motocol

Data analytics Architect

San Jose, CA

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

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Summer Big Data Analytics information

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

As of Jul 4, 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 are the key skills and qualifications needed to thrive as a Summer Big Data Analytics professional, and why are they important?

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.

Is it worth being a data analyst in 2026?

Data analyst roles are expected to remain in demand in 2026 due to the growing importance of data-driven decision making across industries. Skills in SQL, Python, and data visualization tools will continue to be valuable, and certifications can enhance job prospects. However, staying updated with emerging technologies and analytical methods is essential for long-term career growth.

What is a Summer Big Data Analytics job?

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 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.

Are data analysts still in demand?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in SQL, Excel, and data visualization tools like Tableau or Power BI are valuable, and the role often requires strong analytical and problem-solving abilities. The demand is expected to grow as organizations continue to prioritize data insights for strategic growth.

Will AI replace data analyst?

AI is transforming data analysis by automating routine tasks and enhancing data processing capabilities, but it is unlikely to fully replace data analysts. Instead, data analysts will increasingly focus on interpreting complex insights, developing models, and making strategic decisions that require human judgment and domain expertise. Skills in data visualization, programming, and understanding AI tools remain valuable in this evolving field.

Is 40 too late for data science?

Age is not a barrier to entering a data science or big data analytics role. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch to a data analytics career at 40 or older.
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 Analytics Developer

Arka Infotech Inc

Saint Louis, MO

$51.50 - $66.75/hr

Contractor

Posted 12 days ago

Job description

Job Description

Big Data / Analytics Developer
12 Months+
St. Louis, Missouri
08-03-2015
Senior Big Data Analytics Developer w/proven experience developing 'Big Data' algorithmic platforms -- job responsibilities include implementing the analytics infrastructure, data integration with both streaming and batch sources, efficient distributed processing, and managing predictive analytics models. Must be well-versed in writing Scala architecture on OS X and AWS (Amazon Web Services), as well as Java and Clojure. Must have a strong understanding of data modeling in both Remote Procedure Call (RPC) and Representational State Transfer (REST).
My client is currently building a cloud-based analytics platform using open source and SaaS tools--should have experience with Apache Kafka and Samza. Candidate should have a strong understanding of Test-Driven Development, Agile Methodologies, Continuous Integration, and Continuous Deployment--along with analytics techniques such as Machine Learning and Bayesian Methods. Must be familiar with NoSQL on the back end.

Qualifications

BS Degree

Additional Information

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

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