1

Big Data Hive Jobs (NOW HIRING)

Big Data Architect

Sunnyvale, CA · On-site

$74.75 - $96.25/hr

Big Data Architect Location: Sunnyvale, CA Duration: Full Time : Should have excellent knowledge of ... In depth understanding of Hive internals required. In depth understand of bucking ,partitioning ...

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 ...

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 Developer

Wilmington, DE · On-site

$51.50 - $66.75/hr

Big Data experience with Hadoop, Spark, Impala and Hive BI tools experience with Tableau is a plus 4+ years of development experience Complete software development lifecycle (analysis through ...

Big Data Developer

Wilmington, DE · On-site

$51.50 - $66.75/hr

Big Data experience with Hadoop, Spark, Impala and Hive BI tools experience with Tableau is a plus 4+ years of development experience Complete software development lifecycle (analysis through ...

Big Data Architect

Fort Myers, FL · On-site

$59.50 - $76.50/hr

... Hive OR exposure to commercial platform Big data technologies from providers such as SAS, IBM or Oracle Clear understanding of usage and implementations at scale of NoSQL solutions like Hbase ...

Big Data Engineer

$57 - $75.50/hr

... Hive, and Impala • Strong understanding of Data Structures and Algorithms. • Experience with ... is a big plus. • Experience with scripting tools and methods to optimize SW development and ...

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 Architect

San Ramon, CA · On-site

$71.25 - $91.75/hr

Company Description Jobsbridge Skill SDLC process, Hadoop, Map Reduce, Pig, Hive Location San Ramon ... Experience in Data Analytics with Big Data Good working Experience on Data Integration, warehousing ...

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 ...

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 Hadoop Developer (with experience on PIG, Hive, MapReduce, HDFS, HBase, Hive, YARN, Impala, Kafka, SPARK, Oozie, Java and shell scripting etc.) Job Location : Phoenix, Arizona (Phoenix is ...

MapReduce, Sqoop, Pig, Hive, Hbase, Flume). * Hands-on experience with related/complementary open ... Oracle Big Data Appliance / Cloudera Hadoop technical stack, R programming * Informatica9.5.1, ...

Job Details Apache NiFi, Kafka, Flume, Sqoop, Apache Atlas, Hive, HDFS, HBase and Spark (Hortonworks HDP and HDF preferred). Lead Big Data engineering team with specialization on data ingestion (from ...

Senior Big Data Engineer

Salt Lake City, UT · On-site

$54 - $71.25/hr

Responsibilities • Participate in the engineering and administration of big data systems. • ... Hbase, Hive, Phoenix, or other Hadoop with SQL technologies. • Experience working with batch ...

Design and implement MapReduce jobs, Hive/HBase table schemas and queries Good working knowledge and project experience on all components of the Big Data ecosystem. Additional Information All your ...

Showing results 41-60

Big Data Hive information

See salary details

$18

$58

$77

How much do big data hive jobs pay per hour?

As of Aug 22, 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 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?

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.

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.

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 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 $122,706 per year, or $59 per hour.

Big Data Architect

Ventures Unlimited Inc

Sunnyvale, CA • On-site

$74.75 - $96.25/hr

Full-time

Re-posted 15 hours 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

Position : Big Data Architect

Location: Sunnyvale, CA

Duration: Full Time 


Job Description :  


Should have excellent knowledge of Hadoop, Hive,Scoop. 

In depth understanding of Hive internals required.

In depth understand of bucking ,partitioning concepts and table structures very well.

Well versed with joins.

Should have excellent knowledge of Java and J2EE

Knowledge of other Big data technologies like Cassandra is desirable

Previous experience in SQL and experience in Teradata stored procedures is required.

Good communication and presentation skills.


Thanks & Regards 

Rahul Kumar

Ventures Unlimited Inc.

Tel: 856-842-1988 Ext - 157 

 Mobile : 856-258-8937


Qualifications

Should have excellent knowledge of Hadoop, Hive,Scoop. 

Should have excellent knowledge of  Core Java / J2EE

Additional Information

Contact me at 856-842-1988 Ext-No: 157 for more details