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Data Ops Engineer Jobs (NOW HIRING)

Ross Stores

Engineer I

Dublin, CA · On-site

$99.90K - $130K/yr

As a key member of the Data engineering team, will work on diverse data technologies such as Snowflake, dbt, data ops and others to build insightful, scalable, and robust data pipelines that feed our ...

Scientific Games

Manager, Tech Ops Engineer

Columbus, OH · On-site

$12.50K/mo

We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a ... The Manager, Tech Ops Engineering is responsible for the overall integrity, performance, and ...

Wand

Tech Ops Engineer

New York, NY · Remote

$100K - $140K/yr

... data -- the way we provision devices, manage identity, and control access has to scale with us ... Role Overview We're looking for a hands-on Tech Ops Engineer to own the internal technical ...

Wand

Tech Ops Engineer

New York, NY · Remote

$100K - $140K/yr

... data -- the way we provision devices, manage identity, and control access has to scale with us ... Role Overview We're looking for a hands-on Tech Ops Engineer to own the internal technical ...

Wand

Tech Ops Engineer

Salt Lake City, UT · Remote

$100K - $140K/yr

... data -- the way we provision devices, manage identity, and control access has to scale with us ... Role Overview We're looking for a hands-on Tech Ops Engineer to own the internal technical ...

Ross Stores, Inc

Engineer I

Dublin, CA · On-site

$99.90K - $130K/yr

As a key member of the Data engineering team, will work on diverse data technologies such as Snowflake, dbt, data ops and others to build insightful, scalable, and robust data pipelines that feed our ...

Markel

Cloud Ops Engineer

Richmond, VA · On-site

$54.50 - $73/hr

They are seeking a Cloud Ops Engineer to design, implement, and maintain cloud platform capabilities, ensuring scalable and secure solutions for engineering and data teams. Responsibilities : • ...

CIM Group, LP

Sr. Machine Learning Ops Engineer

Los Angeles, CA · On-site

$112.60K - $154.60K/yr

The Senior ML Ops Engineer leads the design and maintenance of scalable, secure infrastructure for ... This role collaborates closely with Data Science, Platform Engineering, Information Architecture ...

General Motors

Senior Ad Ops Engineer

$129.40K - $198.40K/yr

The Role As a Senior Ad Ops Engineer within the Marketing Applied Sciences organization, you will ... You will work extensively with marketing platform data, partner data feeds, and non-standard data ...

Guru Schools

AI Ops Engineer

Reston, VA · On-site

$55 - $75.25/hr

AI Ops Engineer Reston VA (Day 1 onsite)Long TermMandatory Skills: AI/ML,PYTHON,LANGCHAIN,AWSMust ... data sources, including Elasticsearch, SQL and NoSQL databases, as well as platforms like Jira ...

Amentum

Dev Ops Engineer - SME (Team 01)

Washington, DC · On-site

$59.75 - $81.75/hr

The Dev Ops Engineer SME is the leader of a team that will lead large-scale data analysis projects to design and deliver automated cloud-based infrastructure and deployments of applications. The Dev ...

Ross

Engineer I

Dublin, CA · On-site

$99.90K - $130K/yr

As a key member of the Data engineering team, will work on diverse data technologies such as Snowflake, dbt, data ops and others to build insightful, scalable, and robust data pipelines that feed our ...

CIM Group

Sr. Machine Learning Ops Engineer

Los Angeles, CA · On-site

$112.60K - $154.60K/yr

... data while ensuring data privacy and compliance • Develop and optimize document processing ... Ops Engineer, ML Engineer, or similar role with production deployment responsibility • Expert ...

CX Data Labs

Scrum Master - Data focus

Dallas, TX · On-site

$51 - $68/hr

Work closely with data engineers, data scientists, data analysts, BI engineers, etc., aligning data ... ops, business intelligence, etc. * Bonus: Experience scaling Agile across multiple teams (SAFe ...

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All JobsData Ops Engineer Jobs

Data Ops Engineer information

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$44.5K

$129.7K

$177.5K

How much do data ops engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for data ops engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Ops Engineer, you need a solid background in data engineering, automation, and cloud infrastructure, often supported by a degree in computer science or related field. Experience with tools like Apache Airflow, Docker, Kubernetes, CI/CD pipelines, and proficiency in scripting languages such as Python or Bash is typically required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with data teams and troubleshoot complex data workflows. These skills ensure reliable data delivery, streamlined operations, and scalable solutions that support organizational data goals.

How does a Data Ops Engineer typically collaborate with data scientists and software engineers within an organization?

Data Ops Engineers play a crucial role in bridging the gap between data science and engineering teams. They ensure smooth data pipeline operations, help automate workflows, and support data scientists by providing reliable, scalable infrastructure. Collaboration often involves participating in cross-functional meetings to understand data requirements, troubleshooting data quality issues, and implementing solutions that enable efficient experimentation and model deployment. This collaborative environment helps facilitate quick iterations and reliable delivery of data products.

What are Data Ops Engineers?

Data Ops Engineers are professionals who bridge the gap between data engineering and operations. They focus on automating, monitoring, and optimizing data pipelines to ensure reliable, efficient, and secure data flow within organizations. Their responsibilities often include managing data integration, workflow orchestration, deployment of data infrastructure, and implementing best practices for data quality and governance. Data Ops Engineers work closely with data scientists, analysts, and IT teams to support data-driven decision-making and maintain high data availability. Their role is crucial in modern organizations that rely on large-scale data processing and analytics.

What is the difference between Data Ops Engineer vs Data Engineer?

AspectData Ops EngineerData Engineer
CredentialsCertifications in data management, cloud platforms, scriptingCertifications in data engineering, SQL, cloud services
Work EnvironmentFocus on data pipelines, automation, deployment, and monitoringFocus on data modeling, ETL processes, database design
Industry UsageUsed in organizations emphasizing data operations, automation, and DevOps practicesUsed in data-centric roles focusing on building data infrastructure

While both roles work with data infrastructure, Data Ops Engineers primarily focus on automating and managing data pipelines and deployment processes, whereas Data Engineers concentrate on designing and building data systems. The roles often overlap but differ in their core focus areas and responsibilities.

More about Data Ops Engineer jobs
What cities are hiring for Data Ops Engineer jobs? Cities with the most Data Ops Engineer job openings:
What states have the most Data Ops Engineer jobs? States with the most job openings for Data Ops Engineer jobs include:
What job categories do people searching Data Ops Engineer jobs look for? The top searched job categories for Data Ops Engineer jobs are:
Data Ops Engineer jobs near you
Infographic showing various Data Ops Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 97% Physical, and 3% Hybrid job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Engineer I

Engineer I

Ross Stores

Dublin, CA • On-site

$99.90K - $130K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 20 hours ago

Job description

About this opportunity...
The Data Engineer plays a critical role in engineering of data solutions that support Ross reporting and analytic needs. As a key member of the Data engineering team, will work on diverse data technologies such as Snowflake, dbt, data ops and others to build insightful, scalable, and robust data pipelines that feed our various analytics platforms.
The base salary range for this role is $99,900 - $130,000. The base salary range is dependent on factors including, but not limited to, experience, skills, qualifications, relevant education, certifications, seniority, and location. The range listed is just one component of the total compensation package for employees. Other rewards vary by position and location.
What you will do and what you will learn...
  • Develop data engineering pipelines that support Ross reporting and analytic needs
  • Engineer efficient, adaptable, and scalable data pipelines for moving data from different sources into our Cloud Lakehouse
  • Understand and analyze business requirements and translate into data pipelines and transformations
  • Design, build and manage data objects across the data analytics platform
  • Develop and deploy performance optimization methodologies
  • Drive timely and proactive issue identification, escalation & resolution
  • Collaborate effectively within Data Technology teams, Business Information teams to design and build optimized data flows from source to Data visualization

What you need to be successful...
  • 5-8 years in-depth, data engineering experience and execution of data pipelines, data ops, scripting and SQL queries
  • Minimum 3 years of experience in modern data architecture that support advanced analytics including Snowflake, Azure, etc. Experience with Snowflake and other Cloud Data Warehousing / Data Lake preferred
  • Experience in engineering data pipelines using various data technologies - ETL/ELT, big data technologies (Hive, Spark) on large-scale data sets demonstrated through years of experience
  • Proficient in at least one of these programming languages: Java, Python
  • Experience with adding data lineage, technical glossary from data pipelines to data catalog tools
  • Experience in Data analysis - analyzing SQL, Python scripts, ETL/ELT transformation scripts
  • Experience in data orchestration with experience in tools like Ctrl-M, Apache Airflow. Hands on DevOps/Data Ops experience required
  • Experience working in an Agile Environment preferred, Familiarity with Retail domain preferred
  • Knowledge/working experience in reporting tools such as MicroStrategy, Power BI would be a plus
  • Self-driven individual with the ability to work independently or as part of a project team
  • Experience working in an Agile Environment preferred, Familiarity with Retail domain preferred
  • Experience with Steramsets, dbt preferred
  • Strong communication skills are required with the ability to give and receive information, explain complex information in simple terms and maintain a strong customer service approach to all users
  • Ability to work independently, creatively problem solve complex technical problems
  • Ability to provide accurate estimates of timeframes necessary to complete Data engineering activities
  • Bachelor's Degree in Computer Science, Information Systems, Engineering, Business Analytics, Business Management

Perks and Benefits of joining our team...
Our Associates are at the heart of everything we do and we're proud to offer a range of benefits that reflect how much we value their contributions. Here's a peek into what you can expect as an eligible Ross Associate:
  • A broad range of affordable health insurance options & personal medical plan concierge
  • 401(k) with employer match and Life insurance
  • Ample PTO including accrued vacation, paid holidays, diversity day, summer Fridays and the ability to purchase additional vacation
  • Employee stock purchase plan
  • Access to health and wellness benefits such as BetterHelp and Headspace
  • Charitable donations matched by Ross Stores Foundation
  • And more....

*benefits vary by level and position and are subject to change

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