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Big Data Hive Jobs (NOW HIRING)

Ruri Software Technologies LLC

Big Data Engineer

Tampa, FL · On-site

$50.75 - $67/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 ...

Sonsoft Inc

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

Syntricate Technologies

Big Data Developer

Iselin, NJ · On-site

$56.24/hr

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 * Ability to write SQL ...

Ruri Software Technologies LLC

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 ...

Ruri Software Technologies LLC

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 ...

Syntricate Technologies

Big Data Developer

$56.24/hr

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 * Ability to write SQL ...

Keylent Inc

Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

Responsible for Big Data Production environment which includes Hadoop (HDFS and YARN), Hive, Spark, Livy, SOLR, Oozie, Kafka, Airflow, Nifi, Hbase, etc * Perform optimization, debugging, and capacity ...

Samprasoft

Big Data Support Admin

Washington, DC · On-site

Big Data Administrator Develop the scripts to monitor the services on top of the clusters and send ... Performing/accessing the databases, metastore tables and writing Hive, Impala queries using HUE.

Sonsoft Inc

BigData Lead Consultant

Phoenix, AZ

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 ...

Syntricate Technologies

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Big Data Engineer with MapReduce , spark , hive , sql skillset "Expert in SQL and Data warehousing concepts. Hands -on experience with public cloud data warehouse (GCP, Azure, AWS). GCP certification ...

Keylent Inc

Big Data Engineer

Mooresville, NC · On-site

$52.75 - $69.75/hr

Big Data Engineer Location: Mooresville, NC Data engineers 4+ years Hadoop developer 2+ years of Spark, Scala/Python Hive Migrating to Cloud C2H is possible To an extent avoid candidates needing ...

Jobsbridge

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 ...

Techno Talent Inc.

Big Data Developer

Rockville, MD · On-site

$54 - $70/hr

Big Data Developer Location: Rockville, MD or Tysons Corner, VA Work Setting: Onsite We are seeking ... Hadoop, Hive, Trino * Strong programming skills in Python or Scala * Advanced SQL (Joins, Window ...

Eateam

Big Data Engineer

Phoenix, AZ · On-site

$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 ...

Arka Infotech Inc

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 ...

Mindlance

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 ...

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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 4, 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.
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Big Data Hive jobs near you
Infographic showing various Big Data Hive job openings in the United States as of June 2026, with employment types broken down into 92% Part Time, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,706 per year, or $59 per hour.
Big Data Developer

Big Data Developer

Avani Technology Solutions, Inc.

Chicago, IL • On-site

$54.75 - $71/hr

Full-time

Posted 7 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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