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Big Data Analytics Jobs (NOW HIRING)

... 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 ...

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 · 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 ...

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

Implement data ingestion, storage, transformation, and analysis of solutions that are scalable, efficient, and reliable. * Stay current with industry trends and emerging Big Data technologies to ...

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

Implement data ingestion, storage, transformation, and analysis of solutions that are scalable, efficient, and reliable. * Stay current with industry trends and emerging Big Data technologies to ...

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Big Data Analytics information

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How much do big data analytics jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for 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 big data analytics?

A Big Data Analytics job involves analyzing large and complex datasets to extract meaningful insights, trends, and patterns that help businesses make data-driven decisions. Professionals in this field use tools like Hadoop, Spark, SQL, and machine learning algorithms to process and interpret data. Responsibilities may include data mining, predictive modeling, and creating visualizations to communicate findings effectively. These roles are in high demand across industries like finance, healthcare, e-commerce, and technology. Strong analytical skills, programming knowledge, and an understanding of data infrastructure are essential for success in this field.

What does a big data analytics professional do?

A Big Data Analytics professional typically spends their day collecting, cleaning, and organizing large datasets, designing and running data models, and interpreting trends to generate actionable insights for business stakeholders. They may collaborate closely with data engineers, data scientists, and business analysts to ensure data quality and relevance. Regular tasks also include creating data visualizations, preparing reports, and presenting findings to both technical and non-technical teams. Working in this field often involves keeping up-to-date with new technologies and methods to optimize and streamline analytics processes.

What are the key skills and qualifications needed for big data analytics?

To excel in Big Data Analytics, professionals need strong analytical abilities, proficiency in data modeling, statistics, and a solid foundation in computer science or mathematics, often supported by a relevant degree. Experience with tools like Hadoop, Spark, SQL, and familiarity with programming languages such as Python or R—as well as certifications in big data technologies—are highly valued. Critical thinking, effective communication, and problem-solving skills help in translating complex data into actionable business insights. These capabilities are crucial for handling large datasets, deriving meaningful conclusions, and supporting organizational decision-making.

Is big data analytics a good career?

Big Data Analytics is a growing field with high demand for professionals skilled in data mining, statistical analysis, and tools like Hadoop and Spark. It offers competitive salaries, opportunities across various industries, and requires continuous learning of new technologies and programming languages such as Python or R.
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Cities with the most Big Data Analytics job openings:

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

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What states have the most Big Data Analytics jobs?

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

Infographic showing various Big Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $123,210 per year, or $59.2 per hour.

Data Analyst in Big Data

SRP Systems Inc

Princeton, NJ • On-site

Full-time

Re-posted 29 days ago


Job description

Company Description
SRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run
by seasoned alumni from Stanford University and Wharton.
Job Description
We are looking for a big data analyst that can generate clear and insightful analyses on the data at hand.
Must have data mining skills (data aggregation, validation, etc), advanced modeling techniques, creating explanatory reports.
RESPONSIBILITIES:
Big data analyst should have a broad understanding and have experience with real-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, analyzing, mapping, managing, and visualizing large sets of data
Must have experience in using Python or similar language for conducting data manipulation and data analysis
Qualifications
Masters in Computer Science or equivalent
Additional Information
All your information will be kept confidential according to EEO guidelines.