1

Hive Jobs in Virginia (NOW HIRING)

ETL Developer

Richmond, VA · On-site

$50.50 - $66/hr

Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop, Flume. • Experience on Autosys JIL scripting. • Proficient scripting skills i.e. Unix shell Perl Scripting • Experience ...

senior DevOps Engineer

Vienna, VA · On-site

$130K - $167K/yr

Top Three Skills: 1). AWS Experience 2). Experience working with Databases in AWS (presto, spark, hive, redshift) for VMR deployments 3) Scripting - bash & python 4). Deploy, secure, operational BI ...

Experience processing large amounts of structured and unstructured data via MapReduce. * 1 - 2 Years of building and coding applications Using Hadoop Components - HDFS, Hbase, Hive, Kafka, Storm etc ...

Experience with the Map Reduce programming model and technologies such as Hadoop, Hive, and Pig is a plus. Experience analyzing Medicare Fraud data and CMS health data is needed for some projects ...

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

Spark (advance/expert), Hadoop platform & tools (Hive, Impala, Nifi, Oozie, Scoop) * Databricks * Python, SQL Ideal Candidate Qualifications: * 5+ years of full stack engineering experience in an ...

Sr. Big Data Architect

Mclean, VA

$68 - $91/hr

Experience with Big Data technologies such as Hadoop, Cascading / Hive / HDFS, NoSQL and Map-Reduce is a plus. Experience with big data architectures, such as OpenStack, Hadoop, Pig, Hive or other ...

Python AWS Pyspark Developer

Reston, VA · On-site

$52.25 - $72/hr

Need strong experience in Hadoop EMR, Spark, Pyspark, Hive, AWS, Terraform (end to end automation), Github, CICD * Need to work within a team of developers to assist with development * Need to be ...

Python AWS Pyspark Developer - JM

Reston, VA · On-site

$52.25 - $72/hr

Need strong experience in Hadoop EMR, Spark, Pyspark, Hive, AWS, Terraform (end to end automation), Github, CICD * Need to work within a team of developers to assist with development * Need to be ...

Showing results 41-60

Hive information

See Virginia salary details

$10

$55

$70

How much do hive jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for hive in Virginia is $55.52, according to ZipRecruiter salary data. Most workers in this role earn between $52.21 and $59.81 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 Virginia?

The most popular types of Hive jobs in Virginia are:

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

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

What cities in Virginia are hiring for Hive jobs?

Cities in Virginia with the most Hive job openings:

Infographic showing various Hive job openings in Virginia as of August 2026, with employment types broken down into 77% Full Time, 13% Part Time, and 10% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $115,475 per year, or $55.5 per hour.

$50.50 - $66/hr

Contractor

Re-posted 17 days ago


Job description

ETL Developer
ATLANTA, GA
RICHMOND VA
Hybrid Role (Look for candidates within GA, VA)
• Strong working knowledge of ETL, database technologies, big data and data processing skills
• 3+ years of experience developing ETL solutions using any ETL tool like Informatica, SSIS, etc.,
• 3+ years of experience developing applications using Hadoop, Spark, Impala, Hive Python.
• 3+ years of experience in running, using and troubleshooting the ETL Cloudera Hadoop Ecosystem i.e. Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop, Flume.
• Experience on Autosys JIL scripting.
• Proficient scripting skills i.e. Unix shell Perl Scripting
• Experience troubleshooting data-related issues.
• Experience processing large amounts of structured and unstructured data with MapReduce.
• Experience in SQL and Relation Database developing data extraction applications.
• Experience with data movement and transformation technologies.
• Good to have experience in Python / Scala programming