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Big Data Scientist Jobs (NOW HIRING)

CYNET SYSTEMS

Big Data Engineer

Reston, VA · On-site

$51 - $66/hr

Bachelor's degree in Computer Science, Data Engineering, or related field. * 3-5+ years of experience in big data engineering roles. * Proficiency with big data cloud platforms (AWS, Azure) and tools ...

CYNET SYSTEMS

Big Data Engineer

Reston, VA · On-site

$51 - $66/hr

Bachelor's degree in Computer Science, Data Engineering, or related field. * 3 5+ years of experience in big data engineering roles. * Proficiency with big data cloud platforms (AWS, Azure) and tools ...

RealmOne

Data Scientist 3

San Antonio, TX · On-site

They are seeking a Data Scientist 3 to perform tasks associated with Big Data Platform management, develop prototype algorithms, and support data visualization and analytics in the field of ...

Ruri Software Technologies LLC

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

TOP REQUIREMENTS: Big Data (Spark, Scala, Hive, Hadoop Ecosystem) Data Streaming (Kafka ... Collaborate with the data scientists to organize huge sets of data for data modeling. * Recommend ...

Omega Solutions, Inc.

Big data Engineer

Austin, TX · On-site

$55.25 - $73/hr

Omega Solutions, Inc. is seeking a Big Data Engineer to join their team. The role involves working ... science libraries on data validation Company : Omega was incorporated in 2007 in the State of ...

Jobsbridge

Big Data Engineer

Los Angeles, CA · On-site

$60 - $79.50/hr

Having the dynamic ability to adapt to conventional big-data frameworks and tools with the use-cases required by the project Ability to communicate with research teams and data scientists, finding ...

Base-2 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

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 ...

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Big Data Scientist information

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$46K

$165K

$243.5K

How much do big data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for big data scientist 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 is a big data scientist?

Big Data Scientists are professionals who analyze and interpret large, complex data sets to uncover patterns, trends, and insights that help organizations make data-driven decisions. They use advanced analytics, machine learning, and statistical modeling techniques to process and extract value from massive volumes of structured and unstructured data. Their work often involves programming, data mining, and working with big data technologies such as Hadoop and Spark.

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

To thrive as a Big Data Scientist, you need a strong background in statistics, machine learning, programming (typically Python or R), and a relevant degree in computer science, mathematics, or a related field. Expertise with big data technologies such as Hadoop, Spark, and experience with cloud platforms and relevant certifications (like AWS Certified Data Analytics) are highly valuable. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating complex data insights to stakeholders. These capabilities are essential for extracting actionable, high-impact insights from massive datasets to drive business decisions.

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

Big Data Scientists often encounter challenges such as handling data quality issues, ensuring data security, and managing the complexity of distributed computing environments. Large datasets frequently contain inconsistencies or missing values, requiring robust data cleaning and preprocessing techniques. Additionally, working with distributed systems like Hadoop or Spark introduces complexities around data storage, processing speed, and coordination with engineering teams. To address these challenges, it’s important to stay updated on best practices, leverage automation tools, and maintain close collaboration with data engineers and IT teams.

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

AspectBig Data ScientistData Analyst
Required CredentialsAdvanced degrees in Data Science, Computer Science, or related fields; certifications like Cloudera, HortonworksBachelor's or Master's in Statistics, Data Analysis, or related fields; certifications like Microsoft Data Analyst
Work EnvironmentBig data platforms, cloud environments, programming in Python, R, ScalaExcel, SQL, visualization tools, basic scripting
Employer & Industry UsageTech companies, finance, healthcare, e-commerce handling large datasetsRetail, marketing, small to medium businesses analyzing customer data

Big Data Scientists focus on developing models and algorithms to analyze vast datasets using advanced tools and programming. Data Analysts interpret data, generate reports, and provide insights primarily through visualization and SQL queries. Both roles are essential but differ in complexity, tools, and scope of data handled.

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Big Data Scientist jobs near you
Infographic showing various Big Data Scientist 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Big Data Infrastructure Administrator

Salem, NH • On-site

Right Talent Right Now
See more jobs at Right Talent Right Nowexternal

Full-time

Re-posted 12 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