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Hive Jobs (NOW HIRING)

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

Customer Success Lead

San Francisco, CA · On-site

$110K - $170K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

Data Center Technician

San Francisco, CA · On-site

$70K - $120K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

Enterprise Account Executive

Seattle, WA · On-site

$70K - $150K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

Engagement Manager

San Francisco, CA · On-site

$90K - $160K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

About Hive Hive is the leading provider of AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations to process ...

Account Executive

San Francisco, CA · On-site

$70K - $150K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.

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Hive information

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How much do hive jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for hive in the United States is $56.00, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $60.34 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.

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Cities with the most Hive job openings:

What are the most commonly searched types of Hive jobs?

The most popular types of Hive jobs are:

What states have the most Hive jobs?

States with the most job openings for Hive jobs include:

What job categories do people searching Hive jobs look for?

The top searched job categories for Hive jobs are:

Infographic showing various Hive job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 4% Part Time, and 12% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.

Client Delivery Analyst

Hive

San Francisco, CA • On-site

$60K - $85K/yr

Full-time

Re-posted 17 days ago


Job description

About Hive

Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Client Delivery Analyst

We are looking for an eager and motivated delivery analyst to join our Client Delivery team. At Hive, our Client Delivery team is responsible for commercial delivery of all the groundbreaking technology we have built. As a Client Delivery Analyst, you will be responsible for consistently delivering and executing projects within our Hive Data platform. Day to day, you will be managing multiple projects at a time by analyzing priorities, metrics, and deliverables. Our ideal candidate is interested in learning the ins and outs of a fast growing startup, as they will play an essential part in the business lifecycle. You will also have the opportunity to work in a collaborative and close knit team. This is a great opportunity to see how a high growth startup functions in action.
Responsibilities
  • Create, set up, and audit projects on our Hive Data platform to execute and deliver client engagements
  • Own and execute projects for Hive Data clients by creatively brainstorming ways in which our solutions address client needs and challenges
  • Ensure client jobs are running smoothly by managing timelines, identifying points of challenges, and addressing and updating projects accordingly
  • Collaborate with sales and business development teams at the start of each project to understand scope and client requirements
  • Collaborate with engineers in order to set up optimal pipelines and efficiently audit projects
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
  • Bachelor's degree
  • 0-2 years of work experience
  • You are highly organized and detail-oriented; you handle multiple priorities without missing a beat
  • You have excellent written and verbal communications skills with an analytical mindset
  • You have demonstrated success in a competitive environment
  • You are highly self-motivated and ambitious in achieving goals
  • You are a strong team player, but can work and execute independently
  • You are driven and actively seek opportunities to contribute -- no one needs to push you to excel
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $60,000 - $85,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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