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Hadoop Hive Jobs (NOW HIRING)

LibSys Inc

Sr. Hadoop/Hive Consultant

Foster City, CA · On-site

Company Description The client is VISA Position: Sr. Hadoop/Hive Consultant Location - Foster City, CA Duration: 1 year long The Analytics Software Engineer will work directly with Client Sales ...

M3BI

Hadoop Developer

Phoenix, AZ · On-site

Proven understanding with Hadoop, HBase, Hive, Pig. * Experience in Hadoop/Spark Running Pig and Hive Queries, Analyzing data with Hive. * Experience in Hadoop / HIVE - Performance tuning

M3BI

Hadoop Developer

Phoenix, AZ · On-site

Proven understanding with Hadoop, HBase, Hive, Pig. * Experience in Hadoop/Spark Running Pig and Hive Queries, Analyzing data with Hive. * Experience in Hadoop / HIVE - Performance tuning

AditiStaffing

Hadoop Developer

Alpharetta, GA

Strong knowledge and deployment experience in the Hadoop and Big Data ecosystem - Hadoop, Hive, HBase, Drill, R, Spark, etc * Knowledge of software engineering best practices * 5+ years of ...

LibSys Inc

Sr.Hadoop Developer

Foster City, CA · On-site

Collaboratively develop a business intelligence (BI) solution, using Hadoop (Hive) Coordinate with, support, and complement the solutions architect Develop and implement ETL processes to securely and ...

MM International

Hadoop Developer

Addison, TX · On-site

Good programming knowledge with Hadoop, HIVE, Unix, Python, Shell Scripting * Strong knowledge in SQL/PSQL for building and performance tuning complex queries with multiple joins * Strong analytical ...

Jobsbridge

Hadoop/ Bigdata Developer

Chicago, IL

... Hive, and Flume) programming experience and Big Data ecosystem (Hadoop, HDFS, Map Reduce, Yarn, Pig, Hive, Oozie, Sqoop, Vertica) to derive insights/analytics from Big Data. Relevant experience in ...

krg technology inc

Hadoop Tester

Schaumburg, IL

Candidate should have minimum 3 years of Experience in ETL testing . 5 years of Hands on Experience in Big data technologies (Hadoop, Hive, HBase etc.) testing complex Big data systems Experience in ...

AditiStaffing

Hadoop Developer

Irving, TX

Hands-on development experience with Hadoop and tools such as Hive, Sqoop, Pig, Impala, Parkour, Kafka, and Spark * Hands on experience on Core Java in Linux environment. * Proven demonstrated ...

Programmers.io

Hadoop Admin

Torrance, CA · On-site

Administer, and monitor Big Data Platform components (Hadoop, Hive, HBase, BigSQL, etc) • Support Technical and Application team requests - data copies across environments, data cleanup, query ...

Jobsbridge

Hadoop/Teradata Developer

San Jose, CA · On-site

Strong working experience in Hadoop, Hive, Pig, SQOOP, FLUME and Informatica/any other etl tool is required. Must have implemented one Big Data project Must have Teradata experience. Qualifications ...

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How much do hadoop hive jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for hadoop hive in the United States is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $56.97 and $65.38 per hour, depending on experience, location, and employer.

What is Hadoop Hive and what is it used for?

Hadoop Hive is a data warehouse software built on top of Hadoop that allows users to query and analyze large datasets stored in Hadoop's distributed file system using a SQL-like language called HiveQL. It simplifies the process of managing and analyzing big data by providing an interface similar to traditional databases, making it easier for users who are familiar with SQL to work with Hadoop. Hive is widely used for data summarization, querying, and analysis in big data environments.

What are jobs in Hadoop?

Jobs in Hadoop refer to tasks or processes that perform data processing and analysis using Hadoop's ecosystem, such as MapReduce, Hive, or Spark jobs. These jobs are typically scheduled and managed within a Hadoop cluster, requiring knowledge of distributed computing and data management tools.

Is Hadoop admin a good career?

Hadoop administration is a viable career option for those interested in big data management, as it involves maintaining and optimizing Hadoop clusters. It requires knowledge of Linux, scripting, and tools like Hive and Spark, with certifications enhancing job prospects. The role offers opportunities in data-driven industries with competitive salaries.

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

To thrive as a Hadoop Hive Developer, you need expertise in SQL, data warehousing concepts, and a strong grasp of Hadoop ecosystem components, typically supported by a degree in computer science or a related field. Familiarity with HiveQL, Hadoop Distributed File System (HDFS), and tools like Apache Pig, Spark, and ETL processes is commonly required, along with relevant certifications such as Cloudera Certified Associate (CCA). Analytical thinking, problem-solving, and effective communication are essential soft skills for interpreting business requirements and collaborating with cross-functional teams. These skills and qualifications are critical for efficiently managing big data workloads, optimizing queries, and delivering actionable insights to the organization.

Is Hive built on Hadoop?

Hive is a data warehouse tool that is built on top of the Hadoop ecosystem. It uses Hadoop's distributed storage and processing capabilities, such as HDFS and MapReduce or Tez, to enable querying and managing large datasets efficiently. Knowledge of Hadoop components is essential for Hive developers and administrators.

What is the salary of Hadoop engineer?

The salary of a Hadoop engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in Hadoop, Hive, and big data tools tend to earn higher salaries, especially in regions with high demand for data engineering roles.

What is the difference between Hadoop Hive vs Hadoop MapReduce?

AspectHadoop HiveHadoop MapReduce
Primary FunctionData warehousing and SQL-like queryingBatch data processing and complex algorithms
Ease of UseSQL-like language, user-friendlyRequires Java programming skills
PerformanceOptimized for read-heavy queries, faster for ad-hoc analysisSlower, suitable for large-scale batch jobs
Work EnvironmentData analysts, BI teamsData engineers, developers

Hadoop Hive is ideal for data analysts needing SQL-like access to large datasets, offering easier and faster querying. Hadoop MapReduce is better suited for complex, large-scale data processing tasks requiring custom programming. Both tools are integral to big data ecosystems but serve different purposes based on user expertise and project needs.

What are some common challenges faced by professionals working with Hadoop Hive, and how can they be addressed?

Professionals working with Hadoop Hive often encounter challenges such as optimizing query performance, managing large-scale data sets, and ensuring data security. Query optimization requires a deep understanding of how Hive translates SQL-like queries into MapReduce jobs, making it essential to write efficient queries and use proper partitioning. Managing and scaling Hive tables can be complex as data volume grows, so collaborating closely with data engineers and administrators is important. Addressing these challenges often involves continuous learning, staying updated with new Hive features, and leveraging community best practices.
More about Hadoop Hive jobs
What job categories do people searching Hadoop Hive jobs look for? The top searched job categories for Hadoop Hive jobs are:
Hadoop Hive jobs near you
Infographic showing various Hadoop Hive job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.
Sr. Hadoop/Hive Consultant

Sr. Hadoop/Hive Consultant

LibSys Inc

Foster City, CA • On-site

Full-time

Posted 14 days ago

Job description

Company Description

The client is VISA

Job Description

Position: Sr. Hadoop/Hive Consultant

Location - Foster City, CA

Duration: 1 year long


The Analytics Software Engineer will work directly with Client Sales Analytics Team and Solutions Architects to develop and deploy a business intelligence and analytics solution for internal end users and stakeholders. The ideal candidate will have experience or the ability to develop a warehouse environment for analytical consumption and deployment of visual aggregated data to internal consumers. 


Responsibilities 

The responsibilities for this position are: 

Collaboratively develop a business intelligence (BI) solution, using Hadoop (Hive) 

Coordinate with, support, and complement the solutions architect 

Develop and implement ETL processes to securely and consistently populate the designated Hadoop cluster, as well as the BI server 

Develop data transformations and extractions in Hadoop/Hive as needed to support canned and ad hoc reporting and analytical requirements 

Implement administrative access and security controls, once solution is in place 

Gather user requirements for and develop early iteration enhancements post release 


Qualifications

Qualifications 

Required Skills 

The candidate must have the following: 

- Bachelor of Science or Masters of Science in Computer Science or related degree from an accredited university or equivalent experience 

- Familiarity with NOSQL and distributed architecture (Hadoop) 

- Experience in relational database usage with commercial-grade databases such as Oracle or MySQL 

- Experience with Test Driven Development 

- Experience in designing and scripting functional tests and unit tests 

- Good oral and written communications skills 



Familiarity with: 

- Cloudera distribution software 

- Tableau BI/data visualization 

- Experience with Agile, methodologies like Scrum and Kanban 


Additional Information

All your information will be kept confidential according to EEO guidelines.

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