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Big Data Specialist Jobs (NOW HIRING)

Company Description TestingXperts is a Specialist QA & Software Testing Company, and an Independent ... Big Data Hadoop Talend, Hive Top 3 responsibilities you would expect the Subcon to shoulder and ...

MEM Data Specialist

Winston Salem, NC

$16.50 - $21.25/hr

As a part of Suntory, we believe in dreaming big and boldly pursuing our dreams, growing for good ... MEM Data Specialist Role Overview This position is responsible for centrally maintaining critical ...

MEM Data Specialist

Winston Salem, NC ยท On-site

$16.50 - $21.25/hr

As a part of Suntory, we believe in dreaming big and boldly pursuing our dreams, growing for good ... MEM Data Specialist Role Overview This position is responsible for centrally maintaining critical ...

MEM Data Specialist

Winston Salem, NC ยท On-site

$16.50 - $21.25/hr

As a part of Suntory, we believe in dreaming big and boldly pursuing our dreams, growing for good ... MEM Data Specialist Role Overview This position is responsible for centrally maintaining critical ...

Please don't share GCP Engineers / Data Engineers - Need Admin candidates We are looking for a BQ ... specialist. This is an immediate requirement, and candidate needs to relocate to Irving, TX / ...

... Big Data Specialist, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics ...

... Big Data Specialist, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics ...

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Big Data Specialist information

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$28K

$72.9K

$88K

How much do big data specialist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for big data specialist in the United States is $72,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a big data specialist?

Big Data Specialists are professionals who manage, analyze, and interpret large and complex data sets, often referred to as 'big data.' They use specialized tools and technologies to process, store, and extract valuable insights from vast amounts of data generated by businesses and organizations. Their skills often include expertise in data modeling, database management, programming languages like Python or Java, and big data platforms such as Hadoop or Spark. Big Data Specialists help organizations make data-driven decisions, improve processes, and gain a competitive edge.

What are the key skills and qualifications needed to thrive as a big data specialist, and why are they important?

To thrive as a Big Data Specialist, you need strong analytical skills, expertise in data modeling, and proficiency in programming languages such as Python, Java, or Scala, often supported by a degree in computer science or a related field. Familiarity with big data frameworks like Hadoop, Spark, and data visualization tools, as well as relevant certifications (e.g., Cloudera Certified Professional), is typically expected. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with cross-functional teams. These competencies are crucial for efficiently managing and extracting actionable insights from large datasets, driving informed business decisions.

What are some common challenges faced by big data specialists when integrating data from multiple sources?

Big Data Specialists often encounter challenges such as ensuring data consistency, managing different data formats, and handling the volume and velocity of incoming information when integrating from multiple sources. Overcoming compatibility issues between legacy systems and modern big data platforms is also a frequent hurdle. Effective communication with data owners and cross-functional teams is essential to clarify requirements and resolve data discrepancies, making collaboration skills as important as technical expertise.

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

AspectBig Data SpecialistData Analyst
Required CredentialsBachelor's/Master's in Computer Science, Data Science, or related fields; certifications like Cloudera, HortonworksBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst
Work EnvironmentData warehouses, cloud platforms, big data tools (Hadoop, Spark)Business intelligence tools, spreadsheets, data visualization software
Employer & Industry UsageTech companies, finance, healthcare, retail handling large datasetsMarketing, finance, healthcare analyzing business data for insights
Common Search & Comparison IntentUnderstanding technical differences, required skills, job roles

Big Data Specialists focus on managing and processing large-scale datasets using advanced tools and technologies, often requiring technical certifications. Data Analysts interpret data to generate actionable insights, typically using visualization and statistical tools. Both roles are essential in data-driven industries but differ in technical depth and scope.

How much do big data specialists make?

Big Data Specialists typically earn between $80,000 and $130,000 annually, depending on experience, location, and certifications. Senior roles or those with expertise in tools like Hadoop or Spark can earn higher salaries, especially in tech hubs or large organizations.

Is big data still in demand?

Big Data Specialists are still in high demand as organizations continue to generate large volumes of data requiring analysis and management. Skills in tools like Hadoop, Spark, and data modeling remain valuable, and the role is expected to grow with increasing data-driven decision making across industries.
More about Big Data Specialist jobs
Infographic showing various Big Data Specialist 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

Big Data Specialist @ Pleasanton(Full Time)

TecTammina

Pleasanton, CA โ€ข On-site

Full-time

Re-posted 20 days ago


Job description

Company Description

Tech Tammina

Job Description

Technical/Functional Skills :


10+ years of experience working in data analytics rolesย 

3+ years of experience leading technical teams

Strong in-memory database and Apache Hadoop distribution knowledge (e.g. HDFS, MapReduce, Hive, Pig, Flume, Oozie, Spark)ย 

Experience and proficiency in coding skills relevant for Big Data (e.g. Java, Python, Perl, SQL, Pig, Hive-QL)ย 

Proficiency with SQL, NoSQL, relational database design and methodsย 

Deep understanding of techniques used in creating and serving schemas at the time of consumptionย 

Identify requirements to apply design patterns like self-documenting data vs. schema-on-readย 

Experience in predictive analytics techniques (e.g. predictive modeling, statistical programming, machine learning, data mining, data visualization)ย 

Strong skills in statistical analyses and programming, with an ability to rapidly prototype Big Data solutions by combining a background in computer science with statisticsย 

Played a leading role in the delivery of multiple end-to-end projects using Hadoop as the data platformย 


Qualifications

Bachelor's degree in Information Management, Computer Science, or a quantitative field (e.g. Statistics, Mathematics, Economics)

Additional Information

Thanks & Best Regards

mahesh konni

Contact: 703-349-1214

Please Share the Profiles to mkonni(@)1stitsolutions.com