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Big Data Hive Jobs (NOW HIRING)

Sr Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Tampa, FL Duration: 8+ Months • Data Management -BigQuery big data hive GCP components • In this role, you will be part of Trane Technologies' Data Engineering team, providing solutions and data ...

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

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

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

Pittsburgh, PA · On-site

$100K - $130K/yr

Work extensively with Hadoop ecosystem components (Hive, HDFS, Impala) to manage and query large ... Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) - deep, hands-on experience in on-premises ...

Sr.Big Data Engineer

Phoenix, AZ

$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 ...

Big Data Developer

Detroit, MI · On-site

$52.25 - $68/hr

They are seeking a Big Data Developer to install, configure, and administer Cloudera clusters, as ... Developing HIVE scripts to combine and find data insights • Utilizing SQOOP to export data ...

Sr. Data Analyst

Mclean, VA · On-site

$87K - $110K/yr

... Big data (Hive/HDFS etc)/ Cloud (AWS) experience is a plus Excellent communication and analytical skills Must Haves: Python is is must have they need to be able to read existing code but they won't ...

Need a resource with good experience in Big Data (Hive and Pig) . * Good communication and problem solving skills are must... Qualifications * Bachelor's degree or foreign equivalent required from an ...

Big Data Trainer

Princeton, NJ

$55.50 - $72/hr

Company Description SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing ... Qualifications: * 3+ years of experience in Hadoop, Map/Reduce, Hive, Pig * Strong experience in ...

Big Data Engineer

Renton, WA · On-site

$63 - $83.25/hr

... Hive, Impala, Spark, HBase, HUE Client is looking for a Big Data, Data Engineer. * This is deployed ... on the Microsoft Azure platform using core Cloudera technologies such as Cloudera Director 2.1, CDH ...

Big Data Trainer

Princeton, NJ · On-site

$55.50 - $72/hr

Company Description SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing ... Qualifications: * 3+ years of experience in Hadoop, Map/Reduce, Hive, Pig * Strong experience in ...

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/hr

Work extensively with Hadoop ecosystem components (Hive, HDFS, Impala) to manage and query large ... Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) - deep, hands-on experience in on-premises ...

Need a resource with good experience in Big Data (Hive and Pig). * Good communication and problem solving skills are must. Qualifications * Bachelor's degree or foreign equivalent required from an ...

Big Data Developer

Glendale, CA

$56.25 - $72.75/hr

Skill Big Data Developer Java Hadoop DaaS Java Hadoop / Hive / MapReduce / Pig / Sqoop / Flume SQL XML JSO Location Glendale, CA Total Experience 3 yrs. Max Salary Not Mentioned Employment Type ...

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

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 ...

Java Big Data Engineer

Cupertino, CA

$68.75 - $91/hr

Proficiency with Big Data processing technologies (Hadoop, Hive, Spark, Flume, Oozie, HBase, Solr, Cassandra) Experience with 1 or more Hadoop distributions such as Cloudera, Hortonworks, Apache etc ...

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Big Data Hive information

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$18

$58

$77

How much do big data hive jobs pay per hour?

As of Aug 15, 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?

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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,706 per year, or $59 per hour.

$108K - $129K/yr

Full-time

Re-posted 27 days ago


Job description

Job Title: Sr Data Engineer
Work Location: Tampa, FL
Duration: 8+ Months
Job Description:
• Data Management -BigQuery big data hive GCP components
• In this role, you will be part of Trane Technologies' Data Engineering team, providing solutions and data to enable Trane Technologies to achieve premier performance.
• As part of a global team, this role provides development expertise in the areas of Extract, Transform and Load (ETL), along with database development on a global data warehouse and reporting environment, including technologies like Big Query, Cloud Composer, Cloudera Roles & Responsibilities
• Develop ETL and database components independently following specifications, standards, and global best practices
• Develop ETL and database components following standard software development lifecycle.
• Support existing ETLs though break fix and enhancements
• Participate in code reviews to ensure that ETL and database components conform to global standards.
• Effectively communicate issues and manage the issues to resolution
• Work as part of global development team developing ETLs and database components
• Follow standard Software development Lifecycle practices in development of ETL and database objects Technical Skills
• Experience with GCP (Google Cloud Platform) based Data Analytics tools (Ex: Big Query, Cloud Composer, Data Fusion)
• In-depth knowledge of SQL (plSQL, Hive, Impala, Oracle) and databases
• Experience with Big Data processing frameworks and tools (Cloudera, Sqoop, Hive, Impala, Spark)
• Experience with Informatica and OBIEE
• Experience software development on a team using Agile methodology
• Experience with DevOps tools and techniques (Ex: CI/CD, GitHub, Terraform, Jenkins, etc.)
• Oracle PL/SQL (Required) [ 3+ years of Exp]
• Apache Spark (Nice to have) [1+ years of Exp]
• Understanding on Business Intelligence Dimensional Modelling, Star Schemas, Slowly Changing Dimensions
• Understanding of ETL process and development
• Develop ETL and database components independently following specifications, standards, and global best practices
• Develop ETL and database components following standard software development lifecycle.
• Support existing ETLs though break fix and enhancements
• Participate in code reviews to ensure that ETL and database components conform to global standards.
• Effectively communicate issues and manage the issues to resolution
• Work as part of global development team developing ETLs and database components
• Follow standard Software development Lifecycle practices in development of ETL and database