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Big Data Hive Jobs (NOW HIRING)

Inherent Technologies

Big Data Developer

Jersey City, NJ · On-site

$55.25 - $71.75/hr

Duration: 1 Years Spark - Must have Scala - Must Have Hive & SQL - Must Have Hadoop - Must Have Communication - Must Have Banking /Capital Markets Domain - Good to have : Big Data Scala/Spark Good ...

Jobsbridge

Big Data Developer

Los Angeles, CA · On-site

$57 - $74/hr

Company Description Intelliswift Software, Inc Big Data & Java experience is mandatory Experience in Big Data Tech stack - Mapr, Hive, PIG is mandatory Must have Data Management experience in large ...

Sonsoft Inc

Big Data

Sunnyvale, CA · On-site

$62.25 - $80.75/hr

Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive, Pig. * Strong understanding of RDBMS concepts and must have good knowledge of writing SQL and ...

Sonsoft Inc

Big Data

Phoenix, AZ

$52.50 - $68.25/hr

Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive, Pig. * Strong understanding of RDBMS concepts and must have good knowledge of writing SQL and ...

Sonsoft Inc

Big Data

Plano, TX · On-site

$50.75 - $65.75/hr

Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive, Pig. * Strong understanding of RDBMS concepts and must have good knowledge of writing SQL and ...

Sonsoft Inc

Big Data

Moline, IL

$48 - $62/hr

Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive, Pig. * Strong understanding of RDBMS concepts and must have good knowledge of writing SQL and ...

Precision Technologies Corp

Big Data Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

Big Data Engineer Location: Jersey City, NJ Type: Full-Time Description : We are seeking an ... The ideal candidate should have strong expertise in Hadoop, Spark, Hive, and distributed computing ...

Avani Technology Solutions, Inc.

Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

Java - Pig Hive Spark Scala - Hadoop - SQL/DB2/Shell script (good to have) - The resource should have good experience in Java * The resource should have knowledge and hands on Hadoop Big Data Pig ...

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How much do big data hive jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for big data hive in the United States is $58.99, according to ZipRecruiter salary data. Most workers in this role earn between $50.96 and $66.11 per hour, depending on experience, location, and employer.

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

Professionals working with Big Data Hive often encounter challenges such as optimizing query performance, managing large and complex datasets, and ensuring data security. Query performance can be improved by proper partitioning, indexing, and tuning of queries. Managing complex datasets typically requires a solid understanding of schema design and data serialization formats like ORC or Parquet. Collaboration with data engineers, analysts, and IT security teams is essential to maintain data integrity and compliance. Ongoing learning and adapting to evolving big data tools also help professionals stay effective in this dynamic environment.

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

AspectBig Data HiveData Analyst
Primary RoleData querying and processing using Hive on HadoopData interpretation, reporting, and visualization
Required SkillsSQL-like language, Hadoop ecosystem, data warehousingExcel, SQL, data visualization tools, statistical analysis
Work EnvironmentBig data platforms, distributed computing environmentsOffice settings, data analysis tools, dashboards
CertificationsHadoop, Cloudera, Hortonworks certificationsNone specific, often data analysis or business intelligence certifications

Big Data Hive specialists focus on querying and managing large datasets within Hadoop ecosystems, while Data Analysts interpret data to generate insights and reports. Both roles require strong SQL skills, but Hive emphasizes big data processing, whereas Data Analysts focus on data storytelling and visualization.

What are Big Data Hive jobs?

Big Data Hive jobs refer to tasks or roles that involve working with Apache Hive, a data warehouse software built on top of Hadoop for querying and managing large datasets in distributed storage. Professionals in these roles typically write and optimize HiveQL queries, design data models, and ensure efficient data processing within a big data ecosystem. Hive is widely used for data analysis, reporting, and ETL (extract, transform, load) operations, making these jobs critical in organizations dealing with massive volumes of data. Individuals in Big Data Hive jobs often collaborate with data engineers, analysts, and other IT professionals to maintain and improve data infrastructure.

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

To thrive as a Big Data Hive Developer, you need strong skills in SQL, data modeling, and a solid understanding of Hadoop and distributed data processing, often supported by a degree in computer science or a related field. Familiarity with Apache Hive, Hadoop ecosystem tools (such as HDFS, Spark, and Pig), and certifications like Cloudera or Hortonworks are typically required. Analytical thinking, problem-solving abilities, and effective communication are critical soft skills for interpreting data and collaborating with cross-functional teams. These competencies are essential to efficiently manage, query, and analyze large datasets, enabling data-driven decision-making within organizations.
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Big Data Hive jobs near you
Infographic showing various Big Data Hive job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 58% Full Time, 25% Part Time, and 13% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $122,706 per year, or $59 per hour.

Big data consultant - JC 2044115

Futran Tech Solutions Pvt. Ltd.

Minneapolis, MN • On-site

Full-time

Posted 7 days ago

Job description

Title: Big data consultant
Location: Minneapolis, MN (day 1 onsite)
Duration: Contract
Mandatory Skills
Good Knowledge on Basic Big Data - Hive, Sql etc
Good Knowledge on Spark -Scala or PySpark; Should be Hands-on
Job Description :
Good Knowledge on Spark -Scala or PySpark; Should be Hands-on
Good Knowledge on Basic Big Data - Hive, Sql etc
Good Unix knowledge - Should be able to work with Shell scripts with ease
Basic Cloud skills in at least one environment - AWS or GCP or Azure ( Azure preferable)

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