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Big Data Hive Jobs (NOW HIRING)

Big Data Developer

Chicago, IL

$54.50 - $70.75/hr

Hive * Kafka Spark Big Data Developer * 4-6 years of experience in Big Data development using Hadoop with a good understanding in all phases of software development life cycle. * Experience using ...

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 Hadoop Tester

Dallas, TX · On-site

$55.25 - $73/hr

... Hive, Pig, UNIX; • Develop PL/SQL queries to extract and update data from various database tables and perform data validation and verification; • Run data analytics in Spark using Spark SQL; • ...

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 ...

Big Data

Chicago, IL · On-site

$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 Hadoop Tester

Dallas, TX · On-site

$55.25 - $73/hr

... Hive, Pig, UNIX; • Develop PL/SQL queries to extract and update data from various database tables and perform data validation and verification; • Run data analytics in Spark using Spark SQL; • ...

GCP Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... Hive • Experience in Big Query and GCP-Cloud computing Qualifications : Required : • Strong analytical skills • Experience with Java • Experience with Scala • Experience with SQL • ...

AIA COMMS -BIG DATA ENGINEER

Irving, TX

$53.50 - $70.75/hr

Good experience with Apache Spark ecosystem and components Experience with Hive Hadoop HBase and ... More exposure to different big data integration & ETL methodologies and tools is a plus

AIA COMMS -BIG DATA ENGINEER

Irving, TX

$53.50 - $70.75/hr

Good experience with Apache Spark ecosystem and components Experience with Hive Hadoop HBase and ... More exposure to different big data integration & ETL methodologies and tools is a plus

Big Data Solutions Engineer

Bridgewater, NJ · On-site

$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 ...

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 ...

Junior Big Data Engineer

Iselin, NJ · On-site

$56.50 - $75/hr

Responsibilities : • Experience with Big Data platforms/tools (Linux, HDFS, Hive, Hortonworks, Spark, Scala, Python, Java, Kafka, etc.) • Experience with API's, reading from and/or designing new ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

Big Data Hive information

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How much do big data hive jobs pay per hour?

As of Sep 5, 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,706 per year, or $59 per hour.

$54.50 - $70.75/hr

Full-time

Posted 10 days ago


Job description

Role: Big Data Developer

Location: Chicago, IL

Duration: 6 - 24 Months

REQUIRED SKILLS:

  • Development
  • Design/architecture
  • Hadoop Talend Hortonworks
  • Pig
  • Hive
  • Kafka Spark

Job Description: Big Data Developer

  • 4-6 years of experience in Big Data development using Hadoop with a good understanding in all phases of software development life cycle.
  • Experience using Hadoop Technologies like Hortonworks "Hive, Spark, Pig, or Kafka"
  • Experience using Talend
  • Participate in sprint planning, design, coding, unit testing, sprint reviews
  • Provide basic design documents and translates into component-level designs to accelerate development. Designs, develops, and distributes reusable technical components.
  • Assist in developing technical documentation; participate in test-plan development, integration and deployment
  • External Communities Job Description -Strategic Hadoop Developer need at one of our largest Health care clients in Chicago
  • Long-term engagement, up to 24 months
  • Participate in sprint planning, design, coding, unit testing, sprint reviews
  • Provide basic design documents and translates into component-level designs to accelerate development
  • Must need to be able to navigate IT and key business stakeholders
  • Additional Information This group is responsible for introducing new Products into the market for consumers.

Candidates will work with the following technologies:

  • Hadoop
  • Talend
  • Hortonworks

Work Environment

  • Fast paced and they are slowly adopting Agile.

Position Updates:

  • Fill/Loss/Wash
  • Loss/Wash Reason
  • Num Positions to Update

Big Data technology experiences, including Hadoop - hBase, Hive, and Kafka

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