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Big Data Analytics Jobs (NOW HIRING)

GMV

Big Data engineer

Naples, NC · On-site +1

$53.25 - $70.50/hr

You will collaborate with leading professionals in data analysis and processing, as well as in ... Big Data Architectures * Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering ...

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.

Roberts Recruiting

Big Data Development Manager

Boston, MA

$57.50 - $74.75/hr

We are looking for a hands-on software manager to own our Big Data and Analytics Platform. We are building thenext generation data services and analytics platform to analyze our ever-growing ...

Inherent Technologies

Big Data Developer

Jersey City, NJ · On-site

$55.25 - $71.75/hr

Big Data Developer Location: New Jersey, NJ***Hybrid 3 days in a Week*** Duration: 1 Years Spark ... skills Excellent analytical and process-based skills, i.e. process flow diagrams, business ...

TestingXperts

Big data

Bellevue, WA · On-site

$59.75 - $77.50/hr

Big data Location: Bellevue, WA Must Have Skills (Top 3 technical skills only) * 1. Accumulo handson 2. Hbase handson 3. BigData development experience Detailed Developer with handson capacity to ...

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How much do big data analytics jobs pay per hour?

As of Jun 13, 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 are the typical daily responsibilities of a Big Data Analytics professional?

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 to thrive in the Big Data Analytics position, and why are they important?

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.

What is a Big Data Analytics job?

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.

More about Big Data Analytics jobs
What cities are hiring for Big Data Analytics jobs? Cities with the most 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:
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Big Data Analytics jobs near you
Infographic showing various Big Data Analytics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $123,210 per year, or $59.2 per hour.

Big Data Infrastructure Administrator

Right Talent Right Now

Denton, TX • On-site

Full-time

Posted 13 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