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Hive Jobs in Texas (NOW HIRING)

Hirekeyz Inc

Senior Java Spark Developer

Austin, TX · On-site

$56.75 - $72.25/hr

Work with Cloudera Hadoop components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop . * Design and implement high-performance data storage and retrieval solutions . * Troubleshoot and resolve ...

Programmers.io

Snowflake Architect

Dallas, TX · On-site

$63 - $81/hr

Tune Hadoop, Hive, and Spark jobs and configurations for optimal performance, efficiency, and resource utilization. This includes optimizing queries, managing partitions, and leveraging in-memory ...

TecTammina

Hadoop Lead Developer

San Antonio, TX · On-site

Company Description First IT Solutions Hands on experience in Hadoop/HBase, Apache Hive/Pig, Apache HBase native APIs, Batch processing, ETL methodologies Experience Required : Associate should ...

Hirekeyz Inc

Senior Java Spark Developer

Austin, TX · On-site

$56.75 - $72.25/hr

Work with Cloudera Hadoop components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop . * Design and implement high-performance data storage and retrieval solutions . * Troubleshoot and resolve ...

Tata Consultancy Service Limited

Engineer

Plano, TX · On-site

$120K - $130K/yr

PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture, Delta Lake, Bronze/Silver/Gold Data Modeling, Big Data ETL Pipeline Development, SQL, Real-time Data Ingestion ...

Tata Consultancy Service Limited

ETL Developer

Plano, TX · On-site

$80K - $140K/yr

PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture, Delta Lake, Bronze/Silver/Gold Data Modeling, Big Data ETL Pipeline Development, SQL, Real-time Data Ingestion ...

Hirekeyz Inc

Senior Java Spark Developer

Austin, TX · On-site

$56.75 - $72.25/hr

Work with Cloudera Hadoop components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop . * Design and implement high-performance data storage and retrieval solutions . * Troubleshoot and resolve ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems * Strong knowledge of SQL and data modeling concepts * Hands on experience with Apache Airflow for ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems * Strong knowledge of SQL and data modeling concepts * Hands on experience with Apache Airflow for ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems * Strong knowledge of SQL and data modeling concepts * Hands on experience with Apache Airflow for ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems * Strong knowledge of SQL and data modeling concepts * Hands on experience with Apache Airflow for ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems * Strong knowledge of SQL and data modeling concepts * Hands on experience with Apache Airflow for ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems * Strong knowledge of SQL and data modeling concepts * Hands on experience with Apache Airflow for ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems * Strong knowledge of SQL and data modeling concepts * Hands on experience with Apache Airflow for ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems * Strong knowledge of SQL and data modeling concepts * Hands on experience with Apache Airflow for ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems * Strong knowledge of SQL and data modeling concepts * Hands on experience with Apache Airflow for ...

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 ...

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Showing results 21-40

All JobsHive JobsHive Jobs in Texas

Hive information

See Texas salary details

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$52

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How much do hive jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for hive in Texas is $52.17, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $56.20 per hour, depending on experience, location, and employer.

What is a hive?

Hive jobs refer to tasks or queries that are executed using Apache Hive, a data warehouse software built on top of Hadoop. Hive allows users to read, write, and manage large datasets stored in distributed storage using SQL-like queries. Hive jobs are commonly used for data analysis, reporting, and extracting insights from big data. These jobs can be run through Hive’s interactive shell, web interfaces, or integrated within larger data processing workflows. Professionals managing Hive jobs often work with data engineers, analysts, or developers focusing on big data solutions.

What skills and qualifications are needed to work with Hive?

To thrive as a Hive Data Engineer, you need strong SQL skills, a solid understanding of data warehousing concepts, and experience with Hadoop ecosystem tools, typically supported by a degree in computer science or a related field. Familiarity with Apache Hive, Hadoop Distributed File System (HDFS), and tools like Apache Spark, as well as certification in big data technologies, are commonly required. Problem-solving, attention to detail, and effective communication are crucial soft skills for translating business requirements into efficient data solutions. These skills ensure the ability to manage large-scale data processing, optimize queries, and collaborate effectively across teams for successful data-driven projects.

What are common challenges when optimizing query performance in Hive?

Hive developers often encounter challenges related to query optimization, especially when working with large datasets. Issues such as slow query execution, inefficient joins, and improper partitioning can impact performance. To address these, developers must carefully design table schemas, use appropriate file formats, and leverage indexing and partitioning strategies. Collaborating closely with data engineers and administrators is also essential to ensure optimal resource allocation and performance tuning.

What is the difference between Hive vs Data Analyst?

AspectHiveData Analyst
Required CredentialsSQL, Hadoop, Big Data certificationsStatistics, Data Analysis, SQL certifications
Work EnvironmentBig Data platforms, Data warehousesOffice, Data visualization tools, Analytics platforms
Employer & Industry UsageTech, E-commerce, Finance with large datasetsBusiness, Marketing, Finance, Healthcare

Hive is a data warehousing tool used for querying large datasets stored in Hadoop, primarily focusing on data processing. Data Analysts interpret data, generate reports, and provide insights across various industries. While both roles involve working with data, Hive specialists focus on data infrastructure and querying, whereas Data Analysts focus on analysis and reporting.

What are the most commonly searched types of Hive jobs in Texas?

The most popular types of Hive jobs in Texas are:

What are popular job titles related to Hive jobs in Texas?

For Hive jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Hive jobs in Texas look for?

The top searched job categories for Hive jobs in Texas are:

What cities in Texas are hiring for Hive jobs?

Cities in Texas with the most Hive job openings:

Hive jobs near you
Infographic showing various Hive job openings in Texas as of August 2026, with employment types broken down into 85% Full Time, 5% Part Time, and 10% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $108,513 per year, or $52.2 per hour.

Senior Java Spark Developer

Hirekeyz Inc

Austin, TX • On-site

$56.75 - $72.25/hr

Contractor

Re-posted 26 days ago

Job description

Job Title: Senior Java Spark Developer

Location: Austin, TX and Sunnyvale, CA
 
Job Type: Contract
 

Job Summary:

We are seeking a Senior Java Spark Developer with expertise in Java, Apache Spark, and the Cloudera Hadoop Ecosystem to design and develop large-scale data processing applications. The ideal candidate will have strong hands-on experience in Java-based Spark development, distributed computing, and performance optimization for handling big data workloads.

Key Responsibilities:

✅ Java & Spark Development:

  • Develop, test, and deploy Java-based Apache Spark applications for large-scale data processing.
  • Optimize and fine-tune Spark jobs for performance, scalability, and reliability.
  • Implement Java-based microservices and APIs for data integration.

✅ Big Data & Cloudera Ecosystem:

  • Work with Cloudera Hadoop components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop.
  • Design and implement high-performance data storage and retrieval solutions.
  • Troubleshoot and resolve performance bottlenecks in Spark and Cloudera platforms.

✅ Collaboration & Data Engineering:

  • Collaborate with data scientists, business analysts, and developers to understand data requirements.
  • Implement data integrity, accuracy, and security best practices across all data processing tasks.
  • Work with Kafka, Flume, Oozie, and Nifi for real-time and batch data ingestion.

✅ Software Development & Deployment:

  • Implement version control (Git) and CI/CD pipelines (Jenkins, GitLab) for Spark applications.
  • Deploy and maintain Spark applications in cloud or on-premises Cloudera environments.

Required Skills & Experience:

  • 8+ years of experience in application development, with a strong background in Java and Big Data processing.
  • Strong hands-on experience in Java, Apache Spark, and Spark SQL for distributed data processing.
  • Proficiency in Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop.
  • Experience building and optimizing ETL pipelines for large-scale data workloads.
  • Hands-on experience with SQL & NoSQL databases like HBase, Hive, and PostgreSQL.
  • Strong knowledge of data warehousing concepts, dimensional modeling, and data lakes.
  • Proven ability to troubleshoot and optimize Spark applications for high performance.
  • Familiarity with version control tools (Git, Bitbucket) and CI/CD pipelines (Jenkins, GitLab).
  • Exposure to real-time data streaming technologies like Kafka, Flume, Oozie, and Nifi.
  • Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment.