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Big Data Hive Jobs (NOW HIRING)

Responsibilities : • Need a resource with good experience in Big Data (Hive and Pig). • Good communication and problem solving skills are must. Qualifications : Required : • Bachelor's degree ...

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 ...

Big Data Developer

Los Angeles, CA

$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 ...

Big Data

Plano, TX

$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 ...

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 ...

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 ...

Big Data

Sunnyvale, CA

$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 ...

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 ...

Big Data

Chicago, IL

$57.50 - $76/hr

Should have hands-on experience in any of the big data technologies like Map reduce, Hadoop, Hive, Spark, Kafka, Scala, Flume, Sqoop, Hbase etc. to complete POCs, review code and guide the team

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data (Spark, Scala, Hive, Hadoop Ecosystem) Data Streaming (Kafka) Responsibilities * Building and supporting a cloud based analytical platform for complex data systems. * Document technical ...

Big Data Solutions Engineer

Bridgewater, NJ

$57 - $75.50/hr

Candidate Profile: BS in Computer Science or related area software development experience Minimum 2 Year Experience on Big Data Platform Proficiency with Java, Python, Scala, HBase, Hive, MapReduce ...

Big Data Engineer

Phoenix, AZ

$55.25 - $73.25/hr

Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience ... Must be strong in Hive , Spark , No SQL , AWS Strong Experience in : Java or Scala Must be strong ...

Sr.Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Developing hive scripts. Hands on experience on HDFS, Hive, Pig, Sqoop and NOSQL. Big data solution design and development Should have experience/ knowledge on working with batch processing/ Real ...

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Big Data Hive information

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How much do big data hive jobs pay per hour?

As of Jul 25, 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 Hive in big data?

Hive is a data warehouse infrastructure built on top of Hadoop that allows Big Data Hive professionals to query and analyze large datasets using a SQL-like language called HiveQL. It simplifies data processing by translating queries into MapReduce or Spark jobs, making it accessible for data analysts and engineers working with big data environments.

What is the highest paying job in data analytics?

In data analytics, roles such as Data Science Manager, Data Architect, and Chief Data Officer tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in data modeling, machine learning, and leadership, along with experience in tools like Hadoop, Spark, or SQL. Compensation varies based on industry, experience, and location.

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 jobs can big data do?

Big Data Hive skills are used in roles such as Data Engineer, Data Analyst, and Big Data Developer, focusing on managing and analyzing large datasets. These jobs require knowledge of SQL, Hadoop ecosystem, and data warehousing, often involving tasks like data integration, processing, and reporting.

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.

Is big data a good career option?

Big Data Hive is a valuable skill for data analysts and engineers working with large datasets using tools like Apache Hive and Hadoop. Careers in big data often offer high demand, competitive salaries, and opportunities for growth in industries such as technology, finance, and healthcare. Developing expertise in data querying, storage, and processing can lead to stable and rewarding employment options.

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.
More about Big Data Hive jobs
What job categories do people searching Big Data Hive jobs look for? The top searched job categories for Big Data Hive jobs are:
Infographic showing various Big Data Hive job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $122,706 per year, or $59 per hour.
BigData Lead Consultant

BigData Lead Consultant

SonSoft Inc.

Phoenix, AZ • On-site

Full-time

Posted 22 days ago


Job description

Job Summary:
SonSoft Inc. is a USA based corporation specializing in Software Development, Software Consultancy, and Information Technology Enabled Services. They are seeking a BigData Lead Consultant with strong experience in Big Data technologies and excellent communication skills.
Responsibilities:
• Need a resource with good experience in Big Data (Hive and Pig).
• Good communication and problem solving skills are must.
Qualifications:
Required:
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• At least 4 years of experience with Information Technology.
• Need a resource with good experience in Big Data (Hive and Pig).
• Good communication and problem solving skills are must.
Company:
SonSoft is an IT Staffing and consulting firm and duly organized under the laws of Commonwealth of Georgia. Founded in 2007, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Sonsoft logo

About Sonsoft

Sourced by ZipRecruiter

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007