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Hadoop Data Analyst Jobs (NOW HIRING)

Allcon, Inc.

Data Analyst

Chicago, IL · On-site

MUST HAVE: * 5+ years experience in Data Analysis * 3+ years experience with Hadoop * 3+ years experience Data modeling * 3+ years data warehousing * 3+ years Business Analyst experience * In-depth ...

Allcon, Inc.

Data Analyst

Chicago, IL · On-site

MUST HAVE: * 5+ years experience in Data Analysis * 3+ years experience with Hadoop * 3+ years experience Data modeling * 3+ years data warehousing * 3+ years Business Analyst experience * In-depth ...

Northern Base

Hadoop Architect

Plano, TX · On-site

... data analysis skills. Desired / Preferred Skills · Experience supporting large-scale Hadoop environments with multi-petabyte storage. · Knowledge of distributed storage architecture and data ...

Tata Consultancy Service Limited

Hadoop Architect

Plano, TX · On-site

$95K - $115K/yr

... data analysis skills. Desired / Preferred Skills • Experience supporting large-scale Hadoop environments with multi-petabyte storage. • Knowledge of distributed storage architecture and data ...

ClifyX

Hadoop Analyst

San Jose, CA · On-site

Required : • Analyst with experience in Data warehouse • Hadoop Hive • Hadoop Spark • Data Analyst with experience in Data warehouse • Hands on experience in Hadoop Hive and Spark • ...

Infojini Inc

Hadoop Administrator

Raleigh, NC · On-site

... of Hadoop data, optimize and tune environments as needed for optimal performance. The ideal ... analytic modernization Must be able to obtain a position of public trust security clearance ...

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Hadoop Data Analyst information

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How much do hadoop data analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for hadoop data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a Hadoop Data Analyst?

A Hadoop Data Analyst is a professional who specializes in analyzing large datasets using Hadoop, an open-source framework for distributed storage and processing of big data. They use tools like Hive, Pig, and SQL-like languages to query, process, and interpret data stored in Hadoop clusters. Their main responsibilities include data extraction, transformation, loading (ETL), and generating business insights from big data. Hadoop Data Analysts often collaborate with data engineers and business stakeholders to ensure data-driven decision making. Strong analytical skills, proficiency in Hadoop ecosystem tools, and a solid understanding of data warehousing concepts are essential for this role.

How does a Hadoop Data Analyst typically collaborate with data engineers and business stakeholders?

A Hadoop Data Analyst often works closely with data engineers to ensure that data is properly ingested, cleaned, and made available for analysis within Hadoop ecosystems. They also collaborate with business stakeholders to understand analytical requirements, translate business questions into data queries, and deliver actionable insights. Effective communication and teamwork are essential, as analysts must bridge the gap between technical teams and business units, ensuring that data-driven solutions align with organizational goals.

What are the key skills and qualifications needed to thrive as a Hadoop Data Analyst, and why are they important?

To thrive as a Hadoop Data Analyst, you need a strong background in data analysis, SQL, and big data concepts, often supported by a degree in computer science or a related field. Familiarity with Hadoop ecosystem tools like Hive, Pig, HDFS, and experience with data visualization platforms and relevant certifications are highly valued. Analytical thinking, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills ensure accurate data processing, insightful reporting, and effective support for business decision-making in data-driven environments.

What is the difference between Hadoop Data Analyst vs Data Engineer?

AspectHadoop Data AnalystData Engineer
Required CredentialsBachelor's in IT, Data Science, or related field; certifications like Cloudera or HortonworksBachelor's or Master's in Computer Science, Software Engineering; certifications in cloud platforms or big data tools
Work EnvironmentData analysis teams, business units, using Hadoop ecosystem tools for data querying and reportingData infrastructure teams, software development, building and maintaining data pipelines
Employer & Industry UsageTech companies, finance, healthcare, retail; roles focused on data analysis and reportingSame industries; roles focused on data architecture, pipeline development, and system optimization

While both roles work within the Hadoop ecosystem, a Hadoop Data Analyst primarily focuses on analyzing and interpreting data using Hadoop tools, whereas a Data Engineer builds and maintains the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job focus within big data environments.

Is it still worth it to become a Hadoop data analyst in 2026?

Hadoop Data Analysts remain valuable as organizations continue to process large datasets using Hadoop ecosystems, especially when combined with skills in SQL, data modeling, and knowledge of tools like Spark and Hive. However, the industry is shifting toward cloud-based big data platforms and newer technologies, so staying updated with related skills enhances long-term employability.
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Hadoop Data Analyst jobs near you
Infographic showing various Hadoop Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Hadoop Data Admin

Schaumburg, IL

Ventures Unlimited Inc
See more jobs at Ventures Unlimited Incexternal

Full-time

Re-posted 4 days ago

Job description

Company Description

Ventures Unlimited is a service centric organization. Our success begins with our ability to apply our relationships, leverage technologies, and identify talent - often in combination - to an endless array of real-world customer needs


Job Description
Title : Hadoop Data Admin
Location : Schaumburg, IL
Type : Full Time Permanent
Job Description
Responsible for Data pipeline management, cross cluster data flows and data management.
    Responsible for Daily reporting of data management to Platform Architect.
    Interacts with data scientists to enhance and optimize data within the Clusters.
    Strong knowledge in JAVA, Hadoop ecosystem, HIVE and other NOSQL.
    Strong experience in data management for analytics and reporting.
    Expert in handling different formats of data and data structures.
    Recent ecosystem experience with RDBMS(Oracle/Teradata) and data management technologies.
    Experience with large scale DW implementations.
    Clear understanding of data pipelines, data buckets, data management.
    Strong expertise in PIG, Python or Perl scripting.
    Excellent development experience in SQL, NOSQL, Scala, JAVA/Spring on Hadoop.
    Strong design experience with ETL frameworks, data pipeline management with software such as Falcon, JAVA, etc.
Qualifications
Total IT Experience : 7+ years
Relevant Experience: 4+ years


Additional Information

Contact "Mohit Maurya" for more details at 856-842-1988 Ext:141

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