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Summer Big Data Analytics Jobs (NOW HIRING)

The Specialist partners closely with Kia North America's Big Data team and other affiliate data analytics teams to develop models to support the department's analytical needs. This role is ...

Big Data Engineer

Manhattan, NY ยท On-site

$61.50 - $81.25/hr

NGDATA US INC is seeking a Big Data Engineer to manage customer engagements and oversee the ... analyzing customer data, creating segments, and targeting groups. โ€ข Perform code reviews ...

New

Predictive analytics experience is a PLUS Requirements: * Past work experience on h/w, s/w configs ... Oracle Big Data Appliance, Cloudera Hadoop * Expertise in Architecting, Administering, Developing ...

Sr. Big Data Engineer

Charlotte, NC ยท On-site

$54.50 - $72/hr

W2 contract We are seeking Big Data Engineer to join our Enterprise Data & Analytics team. In this role, you will design and implement cutting-edge data solutions to transform how we manage, process ...

... time analytics and business intelligent platforms Ability to understand the meaning and use of the data, as well as analyze the data quality Perform duties such as collecting, parsing, tagging ...

Big Data Architect

Louisville, KY

$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 ...

... time analytics and business intelligent platforms Ability to understand the meaning and use of the data, as well as analyze the data quality Perform duties such as collecting, parsing, tagging ...

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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 Jun 12, 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.

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.

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:

Big data Data Engineer - Global Data Analytics

Atria Group LLC

Silver Spring, MD โ€ข On-site

$57.75 - $76.25/hr

Other

Posted 19 days ago


Job description

Company Description

We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges.

In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients - including governmental agencies and private companies - throughout the United States and India.

We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career.

Job Description

Must Have Skills -

Overall 10+ years' experience in Datawarehousing related technologies.

3+ years architecting and managing AWS Big Data products and services such as EMR, RedShift, Data Pipeline and Kinesis

3+ years of working experience with Hadoop-based technologies such as MapReduce, Hive/Pig/Impala and NoSQL Databases

3+ years of extensive working knowledge in different programming or scripting languages like Java, Linux, C++, PHP, Ruby, Python and/or R.

Experience working with unstructured, semi-structured and unstructured data sets including social, weblogs and real-time data feeds

Proficient in designing efficient and robust ETL/ELT workflows

Able to tune Big Data solutions to improve performance and end-user experience

Bachelor's or Master's degree in computer science or software engineering

Knowledge BI and Visualization tools such as MicroStrategy/Tableau is a plus

Experience in the media industry is a plus

Must have the legal right to work in the United States

Additional Information

GOOD COMMUNICATION SKILLS

DURATION: 6 Months

INTERVIEW: PHONEย