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Data Operations Engineer Jobs (NOW HIRING)

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.

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.

The manager serves as a bridge between data engineering, analytics, and business stakeholders to ensure timely, high-quality data delivery for operational and strategic needs. Education & Experience ...

Principal Engineer, Data Operations

Manhattan, NY · On-site

$126K - $151K/yr

How You'll Make an Impact As the Principal Engineer, Data Operations, you will serve as a principal technical authority for enterprise Data Operations, defining scalable architecture, standards, and ...

Data Ops Engineer VFDE

San Diego, CA · On-site +1

$200K - $240K/yr

ORA_ON_SITE Description 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 ...

Data Operations Manager

Denver, CO · On-site

$100K - $125K/yr

Manage and optimize Carina's data technology tools (such as Rhapsody, NextGate, and DevOps) including overseeing configuration and performance tuning, maintaining communication with support teams ...

New

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 ...

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 ...

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Data Operations Engineer information

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$36K

$85K

$135K

How much do data operations engineer jobs pay per year?

As of Jul 18, 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 does a data operations engineer do?

A data operations engineer manages and maintains data pipelines, ensuring data is collected, processed, and stored efficiently and accurately. They often work with tools like SQL, Python, and cloud platforms to automate data workflows, troubleshoot issues, and optimize data systems for analytics and reporting.

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 engineers make $300,000 a year?

Senior data operations engineers, especially those with extensive experience, advanced skills in data management, automation, and cloud platforms, can earn $300,000 or more annually. High compensation often depends on factors such as location, industry, certifications, and the complexity of data systems managed.

Can I make 200K as a data engineer?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

What are the key skills and qualifications needed to thrive as a Data Operations Engineer, and why are they important?

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 engineers make $500,000?

Senior data operations engineers with extensive experience, advanced skills in data management, automation, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data systems.

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
What states have the most Data Operations Engineer jobs? States with the most job openings for Data Operations Engineer jobs include:
What job categories do people searching Data Operations Engineer jobs look for? The top searched job categories for Data Operations Engineer jobs are:
Infographic showing various Data Operations Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $85,029 per year, or $40.9 per hour.
Lead Data Operations Engineer

Lead Data Operations Engineer

Hilton Worldwide Holdings, Inc.

Mclean, VA • On-site

$175K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Hilton rating

6.4

Company rating: 6.4 out of 10

Based on 751 frontline employees who took The Breakroom Quiz

51st of 106 rated hotels


Job description


Exceptional Hospitality Starts with You
Location: 7930 Jones Branch Dr. McLean, VA 22102 (position allow 100% full remote work from anywhere in the U.S.)
Salary: $175,500 - $180,500
Benefits: Health/Dental/Vision ins., 401(K), PTO, Life/Disability Ins. & more
What will I be doing?
Collaborate with teams (Cloud Operations, Global Information Security, Cloud DBAs, and Networking). Design, implement, and maintain AWS infrastructure and services within a managed service environment to implement infrastructure platforms that meet business requirements. Design, implement, and maintain AWS data lake environment. Lead migration efforts from Infrastructure for migration of legacy BigData Solution into EMR. Collaborate with Data Science teams to establish best practices for data ingestion and processing in the data lake, ensuring support for business users. Collaborate with platform, cloud operations teams to implement Terraform infrastructure, manage system installations, patches, and upgrades. Manage EMR, Talend, and IICS cluster workloads. Address performance issues in tools like Alation, MSTR, Tableau, and Alteryx. Work with AWS services such as EMR, IAM, EC2, VPC, Lambda, S3, EKS, ECS, KMS, Kinesis, Config, CloudTrail, EventBridge, RDS, SNS, SQS, ELB, and ASG. Troubleshoot issues related to applications, data, cloud infrastructure, Linux, and automation scripts. The position supervises direct reports. Job requires up to 5% of domestic travel.
Requirements:
Bachelor's degree or equivalent, or higher, in Computer Science, Analytics, or a related field and five (5) years of progressive experience in Systems Engineering/Administration, or related occupation.
Requires progressive experience in data integration and proficiency in AWS cloud and Hadoop Big Data architecture; utilizing HDP ecosystem, CI/CD pipelines, and configuration management; using Linux, including Solaris, Ubuntu, CentOS, AIX, HP-UX, and Windows (NT/2000/XP/Vista/7/8); utilizing NetApp Filer, EMC, AWS S3, Apache Tomcat, WebLogic, and grid computing configuration and installations; applying source code management practices and systems, particularly Bamboo and GitHub; and deploying and managing AWS services including EC2, S3, EBS, IAM, ELB, CloudFormation, Terraform, and CloudWatch using both the AWS Console and AWS CLI.
TO APPLY:
Apply to Hilton Domestic Operating Company Inc. at https://jobs.hilton.com using req. #212527 or submit your resume to jobapplication@hilton.com. Please include the job title and requisition # in the subject line of the e-mail.
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