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Data Scientist Big Data Jobs (NOW HIRING)

Prescient Edge

Senior Data Scientist

Colorado Springs, CO · On-site

$135K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Maintain awareness of emerging analytics and big-data technologies. Job Requirements Experience ... Data Science Council of America (DASCA) certifications, such as Associate Big Data Engineer (ABDE ...

Base-2 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Scientist will work as part of a research-focused team to advance national security ... Analyze a variety of big data covering national security, cybersecurity, business intelligence ...

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

Product Pulse is seeking a Data Scientist to help us unlock the value in our data.WHAT YOU NEED TO ... Experience with big data tools is a plus.APPLY TODAY If you're ready to make data actionable and ...

Socket.dev

AI ML Data Scientist

Cary, NC · On-site

$100 - $120/hr

AI ML Data Scientist Must Have Technical/Functional Skills * Machine Learning techniques ... Big Data Technologies * Spark (Pyspark & SparkR),Hadoop,Yarn. * PM Tools * MS Project, MS Visio ...

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All JobsData Scientist Big Data Jobs

Data Scientist Big Data information

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$46K

$165K

$243.5K

How much do data scientist big data jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data scientist big data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are some common challenges data scientists face when working with big data, and how can they be addressed?

Data Scientists working with big data often encounter challenges such as handling data quality issues, ensuring scalable data processing, and integrating diverse data sources. To address these, it's important to use robust data cleaning techniques, leverage distributed computing frameworks like Spark or Hadoop, and collaborate closely with data engineers and domain experts. Staying up-to-date with the latest big data tools and maintaining clear documentation also help ensure efficient workflows and high-quality analyses.

What is the difference between Data Scientist Big Data vs Data Analyst?

AspectData Scientist Big DataData Analyst
Required CredentialsBachelor's/Master's in CS, Statistics, or related; often certifications in Big Data toolsBachelor's in Statistics, Math, or related; sometimes certifications in data analysis tools
Work EnvironmentTech companies, finance, healthcare; working with large-scale data systemsBusiness, marketing, finance; analyzing smaller datasets for insights
Employer & Industry UsageUsed in industries handling big data, such as tech, e-commerce, financeCommon across various industries for reporting and insights

While both roles analyze data, Data Scientist Big Data focuses on developing models and working with large-scale datasets using advanced tools, whereas Data Analysts interpret smaller datasets to generate reports and insights for decision-making.

What are the key skills and qualifications needed to thrive as a data scientist big data?

To thrive as a Data Scientist in Big Data, you need strong skills in statistics, programming (Python, R, or Scala), and data modeling, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with big data technologies like Hadoop, Spark, and NoSQL databases, as well as experience with cloud platforms and relevant certifications, is essential. Critical thinking, problem-solving, and effective communication distinguish top performers in this role. These skills enable the extraction of actionable insights from massive datasets, driving informed business decisions and innovation.

What is a data scientist big data?

Data Scientist Big Data professionals are experts who analyze and interpret large and complex datasets, often referred to as 'big data', to extract valuable insights for organizations. They use advanced statistical, machine learning, and data engineering techniques to process massive volumes of structured and unstructured data. These professionals typically work with big data technologies like Hadoop, Spark, and NoSQL databases, and help companies make data-driven decisions to improve business outcomes.
More about Data Scientist Big Data jobs
What cities are hiring for Data Scientist Big Data jobs? Cities with the most Data Scientist Big Data job openings:
What states have the most Data Scientist Big Data jobs? States with the most job openings for Data Scientist Big Data jobs include:
What job categories do people searching Data Scientist Big Data jobs look for? The top searched job categories for Data Scientist Big Data jobs are:
Data Scientist Big Data jobs near you
Infographic showing various Data Scientist Big Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Big Data Infrastructure Administrator

Right Talent Right Now

Manchester, NH

Contractor

Re-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