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Hive Jobs in Kansas (NOW HIRING)

Right Talent Right Now

Sr. ETL Developer

Overland Park, KS · On-site

$50.50 - $66/hr

... PIG, Hive, Spark) 1-2 year's exposure to Tableau BI or Logi or other dash boarding reporting experience is a plus Strong of Experience in collaboration with DBA's, data modelers, and business ...

Right Talent Right Now

Sr. ETL Developer

Topeka, KS

$48 - $62.75/hr

... PIG, Hive, Spark) 1-2 year's exposure to Tableau BI or Logi or other dash boarding reporting experience is a plus Strong of Experience in collaboration with DBA's, data modelers, and business ...

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How much do hive jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for hive in Kansas is $49.94, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $53.80 per hour, depending on experience, location, and employer.

What jobs pay 4000 a week without a degree?

Jobs that can pay $4,000 a week without a degree often include roles such as sales managers, real estate brokers, commercial pilots, or skilled trades like electricians and plumbers with experience. These positions typically require strong skills, certifications, or licenses, and may involve high commissions, bonuses, or overtime work to reach that income level.

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 is Hive?

Hive is a data warehouse software project built on top of Apache Hadoop that allows users to query and analyze large datasets using a SQL-like language called HiveQL. It is commonly used by data analysts and engineers to manage and process big data efficiently. Familiarity with Hadoop, SQL, and data modeling is beneficial for roles involving Hive.

What are some common challenges faced by Hive developers when optimizing query performance?

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 jobs pay $700 a day?

Jobs that can pay $700 a day include specialized roles such as freelance consultants, high-level contractors, certain skilled trades like electricians or plumbers, and some freelance or contract positions in IT, marketing, or design. These roles often require specific skills, certifications, or experience and may involve project-based or hourly work with flexible schedules.

What are Hive jobs?

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 are the key skills and qualifications needed to thrive as a Hive Data Engineer, and why are they important?

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.

Is Hive a good place to work?

Hive is a technology company that offers roles in data management, analytics, and cloud services. Employees often work in collaborative environments with a focus on innovation and technical skills, and the company provides opportunities for professional growth. As with any employer, experiences can vary based on role and team dynamics.
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What cities in Kansas are hiring for Hive jobs? Cities in Kansas with the most Hive job openings:
Hive jobs near you
Hadoop Developer_ Overland Park, KS

Hadoop Developer_ Overland Park, KS

Avani Technology Solutions, Inc.

Overland Park, KS • On-site

Full-time

Posted 18 days ago

Job description

Role: Hadoop Developer
Location: Overland Park, KS
Duration: Long term
JOB DESCRIPTION:
2+ years' experience working with Big Data eco-system including tools
2+ such as Hadoop, Map Reduce, Yarn, Hive/Impala/Presto, Pig, Spark,
2+ Kafka, Sqoop, Hue, and Storm is preferred
Knowledgeable in techniques for designing Hadoop-based file layout optimized to meet business needs Understands the tradeoffs between different approaches to Hadoop file design Experience with techniques of performance optimization for both data loading and data retrieval Experience with NoSQL Databases - HBase, Apache Phoenix, Apache Cassandra, Vertica, or MongoDB Able to translate business requirements into logical and physical file structure design Ability to build and test solution in rapid and iterative manner Ability to articulate reasons behind the design choices being made Designing, building, installing, configuring and supporting Hadoop.
• Translate complex functional and technical requirements into detailed design.
• Perform analysis of vast data stores and uncover insights.
• Maintain security and data privacy.
• Good Knowledge on DW and BI
• help build new Hadoop clusters or Manage the existing one
• Ability to write MapReduce jobs
Strong technical expertise in most of the following:
Hadoop (Hortonworks distribution)
Talend for Big Data
Apache Hive
Apache Phoenix
Apache Spark
Apache Hbase
Apache Sqoop
Apache Hue
Kafka
SQL and NO SQL Data stores
Linux
Naveen Kumar |
T 585.532.7200 Ext: 9022
Mobile no: 408.809.8869 | naveen.b@avanitechsolutions.com,
687 Lee Road, Suite # 208, Rochester, NY 14606
http://www.avanitechsolutions.com

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