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Data Operations Engineer Jobs (NOW HIRING)

Sieve

Data Operations Lead

San Francisco, CA · On-site

The Data Operations Lead will manage the execution and scaling of the company's data operations ... Work with engineering to ship tooling improvements, track operational metrics, and identify gaps ...

F-Prime Capital

Director, Data Operations

Jacksonville, FL · On-site

$180 - $220/hr

Director, Data Operations COMPANY: Canoe Intelligence LOCATION: Jacksonville, NYC, or London Hybrid ... Collaborate with Product, Engineering, and Client Experience to align core workflows with platform ...

Xenith Solutions

Data Ops Engineer

San Diego, CA · On-site

$121K - $146K/yr

Responsibilities : • We are seeking a Data Operations Engineer to design, build, and maintain real-time data ingestion pipelines. In this role, you will be responsible for the reliable flow of ...

PitchBook Data

Lead Data Engineer

Seattle, WA

$130K - $156K/yr

At PitchBook, we believe that the Data Operations team plays a vital role in setting us apart from our competitors. We take immense pride in providing top-quality data to our customers, while also ...

Workiva, Inc.

Data Operations Lead

Automation & Platform Engineering: Reduce operational toil by building self-service workflows ... Data Quality Frameworks: Building automated "circuit breakers" that stop data from reaching the ...

Evio

Software/DevOps Engineer

$54 - $74/hr

... s Engineer operates within an existing cloud and application environment, focusing on reliability ... Build and enhance data ingestion components, including integrations, transformations, and ...

HealthEdge

Data Operations Manager

KEY RESPONSIBILITIES Operational Data Engineering * Design, build and maintain pipelines that ... consolidate data from PagerDuty, Jira, ServiceNow, Datadog, Splunk and other operational sources ...

Workiva, Inc.

Data Operations Lead

Ames, IA · On-site

Automation & Platform Engineering: Reduce operational toil by building self-service workflows ... Data Quality Frameworks: Building automated "circuit breakers" that stop data from reaching the ...

Xenith Solutions LLC

Data Ops Engineer

San Diego, CA · On-site

$121K - $146K/yr

We are seeking a Data Operations Engineer to design, build, and maintain real-time data ingestion pipelines. In this role, you will be responsible for the reliable flow of streaming data from a wide ...

Evio

Software/DevOps Engineer

Denver, CO

$54.25 - $74.25/hr

... s Engineer operates within an existing cloud and application environment, focusing on reliability ... Build and enhance data ingestion components, including integrations, transformations, and ...

HealthEdge

KEY RESPONSIBILITIES Operational Data Engineering * Design, build and maintain pipelines that ... consolidate data from PagerDuty, Jira, ServiceNow, Datadog, Splunk and other operational sources ...

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Data Operations Engineer information

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$36K

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$135K

How much do data operations engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data operations engineer in the United States is $85,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $94,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Operations Engineer vs Data Analyst?

AspectData Operations EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, AzureBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentData engineering teams, cloud platforms, data pipelinesBusiness units, reporting tools, data visualization platforms
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing firms, finance, consulting, retail
Common Search & Comparison IntentUnderstanding technical differences, job roles, skillsData analysis tasks, reporting, insights generation

The Data Operations Engineer focuses on building and maintaining data infrastructure, pipelines, and ensuring data quality, often working with cloud platforms and scripting. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are the key skills and qualifications needed to thrive as a data operations engineer?

To thrive as a Data Operations Engineer, you need a solid understanding of data management, ETL processes, and database systems, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms, and cloud services (AWS, Azure, or GCP) as well as certifications such as AWS Certified Data Analytics are often required. Strong problem-solving, attention to detail, and effective communication skills help you manage complex data workflows and collaborate with cross-functional teams. These skills ensure data integrity, optimize performance, and enable seamless data-driven decision-making across the organization.

What are some common challenges faced by data operations engineers when working with large-scale data pipelines?

Data Operations Engineers often encounter challenges such as maintaining data quality, ensuring pipeline reliability, and managing system scalability as data volumes grow. Troubleshooting failures in real-time data flows and coordinating with data engineering and analytics teams to address bottlenecks are also common tasks. Additionally, adapting to evolving technologies and implementing automation for routine maintenance can be demanding but are crucial for efficient operations.
More about Data Operations Engineer jobs
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Data Operations Engineer jobs near you
Infographic showing various Data Operations Engineer job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $85,029 per year, or $40.9 per hour.

Data Operations Lead

Sieve

San Francisco, CA • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in the growth of applications powered by high-quality training data. The Data Operations Lead will manage the execution and scaling of the company's data operations platform, overseeing workforce management, QA processes, and driving growth initiatives.
Responsibilities:
• Operate and scale Sieve's internal data ops platform, including workforce management, task assignment, and QA workflows
• Drive platform growth: run acquisition campaigns, test new sourcing channels, and grow the user base through creative and scalable strategies
• Source, onboard, and manage a distributed human workforce for data annotation, curation, and quality review
• Build and improve QA processes to ensure data output meets the standards required by frontier AI labs
• Own product ops for the data platform. Work with engineering to ship tooling improvements, track operational metrics, and identify gaps
• Create documentation, SOPs, and training materials for operational workflows
Qualifications:
Required:
• Mixed technical and non-technical skillset, comfortable with data tooling, light scripting, and spreadsheet-level analysis
• Strong organizational skills and attention to detail; able to manage multiple concurrent work streams
• Growth mindset: experience running or contributing to user acquisition, sourcing campaigns, or platform growth efforts
• Bachelor's degree in CS, STEM, or equivalent practical experience
• In-person at our SF HQ
Preferred:
• Experience managing human-in-the-loop data operations or annotation pipelines
• At least 1 year of engineering experience or strong technical fluency
• Experience as an early hire at a startup or spearheading ops at an AI lab
• Familiarity with data quality frameworks or ML data pipelines
Company:
Sieve supplies video data to frontier AI labs. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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