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Hive Jobs in Georgia (NOW HIRING)

Hive Financial Systems

Product Manager

Atlanta, GA

Product Manager / Senior Product Manager, Underwriting & LeadGen Capabilities Hive Financial Systems In office at Atlanta, GA (Buckhead) Individual Contributor Mid to Senior About the Role Hive ...

Hive Financial Systems

Product Manager

Atlanta, GA · On-site

Product Manager / Senior Product Manager, Underwriting & LeadGen Capabilities Hive Financial Systems • In office at Atlanta, GA (Buckhead) • Individual Contributor • Mid to Senior About the ...

Hive Financial Systems

Product Manager

Atlanta, GA · On-site

Product Manager / Senior Product Manager, Underwriting & LeadGen Capabilities Hive Financial Systems · In office at Atlanta, GA (Buckhead) · Individual Contributor · Mid to Senior About the Role ...

FHR

A-82-Scala Developer 66129

Atlanta, GA · On-site

$51 - $66/hr

The application framework is developed using Scala, Apache Spark, Hive, and Drools and operates on the Cloudera Data Platform (CDP). Following the State's migration from an Apache open-source Hadoop ...

SmartIPlace

Data Engineer

Atlanta, GA · On-site

$60 - $68/hr

Top Skills' Details 1- Databricks data modeling w/ Python 2- Azure ETL / Data analysis 3- Spark/Hive/Airflow 5-10 Years Focused on manipulating data in a software engineering capacity. Some of that ...

RIT Solutions, Inc.

Software Engineer

Atlanta, GA · On-site

Microsoft SQL Server, HBASE, Hive • 3+ years' experience with web services using Java/Spring Boot • Strong knowledge and application of SAFe agile practices, preferred • Proficiency working ...

Sonsoft Inc

Big Data Hadoop Admin

Atlanta, GA

Working with data delivery teams to setup new Hadoop users, including access to HDFS, Hive, Pig and MapReduce, etc. * Cluster maintenance as well as creation and removal of nodes using tools like ...

4pconsultinginc

Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Proficiency in Databricks, Azure, Spark, Hive, and Airflow is required. Key Responsibilities Data Engineering & Pipeline Development * Design, build, and maintain scalable and reliable data pipelines

AditiStaffing

Hadoop Developer

Alpharetta, GA · On-site

Strong knowledge and deployment experience in the Hadoop and Big Data ecosystem - Hadoop, Hive, HBase, Drill, R, Spark, etc * Knowledge of software engineering best practices * 5+ years of ...

Equifax

Data & Analytics Intern

Alpharetta, GA · On-site

Experience or coursework in code development in SQL, Python, Hive, Impala, R What could set you apart: * Strong SQL and/or Big Query skills in Big Data environment. * Formal coursework and/or ...

Sonsoft Inc

Hadoop Administrator

Atlanta, GA

Working with data delivery teams to setup new Hadoop users, including access to HDFS, Hive, Pig and MapReduce, etc... Cluster maintenance as well as creation and removal of nodes using tools like ...

Judge Group, Inc.

Data PlatformEngineer

Alpharetta, GA · On-site

Integrate data from diverse sources including SQL Server, SAP, Teradata, Hadoop/Hive, PostgreSQL, Oracle, and flat files. * Optimize data flow and improve data reliability, efficiency, and quality.

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How much do hive jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for hive in Georgia is $47.28, according to ZipRecruiter salary data. Most workers in this role earn between $44.47 and $50.96 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 Georgia?

The most popular types of Hive jobs in Georgia are:

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

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

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

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

What cities in Georgia are hiring for Hive jobs?

Cities in Georgia with the most Hive job openings:

Hive jobs near you
Infographic showing various Hive job openings in Georgia as of August 2026, with employment types broken down into 83% Full Time, 7% Part Time, and 10% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $98,348 per year, or $47.3 per hour.

Data Engineer, Hadoop, SPARK, Python, Shell, CI/CD, Hive, Snowflake, SQL 12+ Mts Con, Alpharetta, GA

ZnA Inc

Alpharetta, GA • On-site

$111K - $134K/yr

Contractor

Re-posted 26 days ago

Job description

 
 
JPC - 3512
 
Level 4 : ( 7+ Yrs of exp) 
 
2 rounds of interview ( final round inperson) 
 
Loc - Alpharetta, GA  (Hybrid - 3 days in office, 2 days home)
 
Duration : 12+ Months Contract
 
Description:
 
Big Data Engineer
 
MUST HAVE - Haddoop, SPARK, UNIX, Python, Shell, Github, Devops, CI/CD, Hive, SQL, Trouble Shoot SnowFlake 
 
50% Work on Haddoop - Production Support of the existing Application 
 
50% Work on Frame work of Migration of Data from Hadoop to Snowflake. 
 
 
Description:
 
Big Data Engineer 
 
Job Description
 
Role Name: Big Data Engineer, Python, Big Data (HDFS/Hive/Impala) & Apache Spark, Snowflake, ETL, Github, Devops, Shell 12+ Mths Cont, Alpharetta, GA 
 
Position Title: Consultant
 
Location: Alpharetta, GA

Position Description:
This position is for Big data engineer for Wealth Management Framework CoE team at Client’s Alpharetta or New York offices.
CoE team is responsible to define and govern the data platforms.
We are looking for colleagues with strong sense of ownership and ability to drive solutions.
The role is primarily responsible to automate the existing process and bring new ideas and innovation.
The candidate is expected to code, conduct code reviews, and test framework as needed, along with participating in application architecture and design and other phases of the automation.
The ideal candidate will be a self-motivated team player committed to delivering on time and should be able to work with or without minimal supervision.
 
Responsibilities
  • Design & Develop new automation framework for ETL processing
  • Support existing framework and become technical point of contact for all related teams
  • Enhance existing ETL automation framework as per user requirements
  • Performance tuning of spark, snowflake ETL jobs
  • New technology POC and suitability analysis for Cloud migration
  • Process optimization with the help of automation and new utility development
  • Work in collaboration for any issues and new features
  • Support any batch issue
  • Support application team teams with any queries
 
Required Skills
* 7+ years of Data engineering experience
* Must be strong in UNIX Shell, Python scripting knowledge
* Must be strong in Spark
* Must have strong knowledge of SQL
* Hands-on knowledge on how HDFS/Hive/Impala/Spark works
* Strong in logical reasoning capabilities
* Should have working knowledge of Github, DevOps, CICD/ Enterprise code management tools
* Strong collaboration and communication skills
* Must possess strong team-player skills and should have excellent written and verbal communication skills
* Ability to create and maintain a positive environment of shared success
* Ability to execute and prioritize a tasks and resolve issues without aid from direct manager or project sponsor
* Good to have working experience on snowflake & any data integration tool i.e. informatica cloud
 
 
Primary skills: Python, Big Data & Apache Spark
 
Desired skills
* Snowflake/Azure/AWS any cloud
* IDMC/any ETL tool