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Data Operations Jobs (NOW HIRING)

Hive

Data Operations Analyst

San Francisco, CA · On-site

$60K - $85K/yr

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join our Data Operations team. At Hive, our DataOps team is responsible for supporting the development of ...

Purpose Financial

Data Operations Engineer

Greenville, SC · On-site

$107K - $129K/yr

Position Summary We're looking for a skilled Data Operations Engineer to join our growing data team. This position reports to the Manager of Data Operations and is responsible for ensuring the ...

HappyRobot Inc

Data Operations Lead

San Francisco, CA · On-site

$150K - $200K/yr

Manage End-to-End Operations: Oversee the full lifecycle of data acquisition, ensuring datasets are delivered on schedule and meet rigorous quality standards. * Lead Labeling Teams: Direct both in ...

Sun-IT Solutions

Data Operations Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Data Operations Engineer / DataOps Specialist Skills: Digital : Python Experience Required: 8-10 years Role Descriptions: 1. Data Pipeline & OperationsBuild| manage| and monitor ETL/ELT pipelines for ...

New

Ci

Data Operations Analyst

Austin, TX · On-site

Data operation, maintenance, support, and oversight across critical operational processes in key enterprise platforms, including Salesforce, Addepar, Vestmark, and others * Data integrity . Quality ...

Ci

Data Operations Analyst

Miami, FL · On-site

Data operation, maintenance, support, and oversight across critical operational processes in key enterprise platforms, including Salesforce, Addepar, Vestmark, and others * Data integrity . Quality ...

HappyRobot

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

The Data Operations Engineer will serve as the operational backbone of the product organization, working closely with the CTO and Head of Product to ensure synchronization between Product Engineering ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

The role As a Human Data Operations Strategist, you will play a critical role in managing and optimising data annotation and machine learning workflows for our clients. You will work closely with ...

Lantern

Data Operations, Sr. Manager

Dallas, TX · Hybrid

Data Operations, Sr. Manager Reports to: Director of Data JOB OVERVIEW We are seeking a hands-on, customer‑facing Data Operations Leader to oversee and mature our data operations function. This ...

E-Solutions

Data Operations Lead Onsite

Chicago, IL · On-site

Data Operations Lead (Onsite - Client Facing) Location: Downtown, Chicago (Client Location) Experience: 8-12+ years Role Type: Client-facing Operations & Delivery Leadership Role Overview We are ...

Geotab

Data Operations Developer

Atlanta, GA · On-site

As a Data Operations Developer, your key area of responsibility will be designing, building, and optimizing automated end-to-end data pipelines (ETL/ELT) while ensuring data quality and governance.

Geotab

Data Operations Developer

Atlanta, GA · On-site

As a Data Operations Developer, your key area of responsibility will be designing, building, and optimizing automated end-to-end data pipelines (ETL/ELT) while ensuring data quality and governance.

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Data Operations information

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$52K

$128.5K

$200K

How much do data operations jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data operations in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

Is data operations a good job?

Data operations is a growing field that involves managing, processing, and maintaining data systems to support business functions. It often requires skills in database management, data quality, and tools like SQL or data pipelines, and can offer stable employment with opportunities for advancement. The role is suitable for individuals interested in technology, data analysis, and operational efficiency.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this field often work with data management tools, databases, and automation processes to support data-driven decision-making.

What is the highest paying data job?

The highest paying data job is typically a Data Engineering Manager or Chief Data Officer, with salaries often exceeding $150,000 annually depending on experience and location. These roles require advanced skills in data architecture, leadership, and often certifications in cloud platforms or data management tools.

Is 30 too late for data science?

Data operations roles often value skills and experience over age, and many professionals transition into data science at various ages, including in their 30s. Building relevant skills such as programming, statistics, and tools like SQL or Python can facilitate entry, regardless of age. Continuous learning and practical experience are key factors for success in data science careers.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

More about Data Operations jobs
What cities are hiring for Data Operations jobs? Cities with the most Data Operations job openings:
What are the most commonly searched types of Data Operations jobs? The most popular types of Data Operations jobs are:
What states have the most Data Operations jobs? States with the most job openings for Data Operations jobs include:
What job categories do people searching Data Operations jobs look for? The top searched job categories for Data Operations jobs are:
Data Operations jobs near you
Infographic showing various Data Operations job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.
Data Operations Analyst

Data Operations Analyst

Hive

San Francisco, CA • On-site

$60K - $85K/yr

Full-time

Posted 5 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, deepfake detection, brand protection, sponsorship measurement, 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!
Data Operations Analyst
We are looking for an eager and motivated Data Operations Analyst to join our Data Operations team. At Hive, our DataOps team is responsible for supporting the development of our proprietary AI models leveraging our Hive Data platform to deliver high-quality training and testing datasets. Day to day, you will be managing multiple projects at a time with operational excellence 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 product development 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 the Hive Data platform to support internal Product and ML initiatives and power proprietary Hive Models
  • Own and execute projects by creatively identifying ways our data solutions can advance model performance, product capabilities, and internal objectives
  • Ensure projects run smoothly by managing timelines, identifying challenges, and proactively resolving issues while keeping stakeholders informed
  • Collaborate with Product and ML teams at the start of each project to understand scope, technical requirements, and success criteria
  • 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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