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Data Ops Engineer Jobs (NOW HIRING)

Epicor

Senior Data Ops Developer

Minneapolis, MN · Hybrid

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In this role, you will design and maintain cloud-based data pipelines, automate data processes, and ...

GEICO

Principal Marketing Data Ops Engineer II

Bethesda, MD · On-site

$115K - $260K/yr

We're looking for a hands-on data/software engineer to build the instrumentation and event pipelines that feed campaign and journey triggers - especially where the data doesn't exist yet. You'll work ...

Neon Mobile, Inc

Data Ops Lead

New York, NY · On-site +1

$160K - $220K/yr

As a Data Ops Lead, you'll own the end-to-end journey that takes raw recordings from our growing ... engineering and research teams at frontier labs to translate their exact specifications into ...

Donato Technologies, Inc

ML Ops Engineer

Charlotte, NC · On-site

$60/hr

Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks. * Solid understanding of software engineering principles and DevOps practices. * Ability to communicate complex ...

Neonmoneytalks

Data Ops Lead

Manhattan, NY · On-site

$100 - $140/hr

As a Data Ops Lead, you'll own the end-to-end journey that takes raw recordings from our growing ... engineering and research teams at frontier labs to translate their exact specifications into ...

Wise Skulls

Platform Ops Engineer

Title: Platform Ops Engineer Location: Any Infosys hub location (Hybrid) Duration: 6 months ... Perform Foundry platform monitoring using pipeline health, data freshness, and ontology integrity ...

Epicor

Senior Data Ops Developer

Lehi, UT · Hybrid

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In this role, you will design and maintain cloud-based data pipelines, automate data processes, and ...

Epicor

Senior Data Ops Developer

Austin, TX · Hybrid

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In this role, you will design and maintain cloud-based data pipelines, automate data processes, and ...

Epicor

Senior Data Ops Developer

Dublin, GA · Hybrid

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In this role, you will design and maintain cloud-based data pipelines, automate data processes, and ...

Boston Childrens Hospital

$93K - $149K/yr

The ML Ops Engineer II works in close collaboration with data scientists and various stakeholders across the hospital to develop solutions that improve patient care outcomes and operational ...

Saransh Inc

AI Ops Engineer

Reston, VA · On-site

$72K - $97K/yr

AI Ops Engineer Location: Reston, VA (3 to 4 days onsite is must) Job Type: Contract Required ... Solid experience integrating AI agents with various data sources, including Elasticsearch, SQL and ...

Techvilla Solutions

ML Ops Engineer

Menomonee Falls, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Techvilla Solutions

ML Ops Engineer

Vernon, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Techvilla Solutions

ML Ops Engineer

Brookfield, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Techvilla Solutions

ML Ops Engineer

Richfield, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Techvilla Solutions

ML Ops Engineer

Wauwatosa, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

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All JobsData Ops Engineer Jobs

Data Ops Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data ops engineer jobs pay per year?

As of Sep 5, 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 is a Data Ops Engineer?

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.

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 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.

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.

Is data operations a good career?

Data Operations, often involving roles like Data Ops Engineer, is a growing field focused on managing data pipelines, automation, and infrastructure. It offers strong job demand, competitive salaries, and opportunities to work with tools like cloud platforms and data management systems, making it a viable career choice for those interested in data and technology.
More about Data Ops Engineer jobs

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Cities with the most Data Ops Engineer job openings:

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What job categories do people searching Data Ops Engineer jobs look for?

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Data Ops Engineer jobs near you
Infographic showing various Data Ops Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Data Ops Developer

Epicor

Minneapolis, MN • Hybrid

Full-time

Re-posted 4 days ago

Job description

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In this role, you will design and maintain cloud-based data pipelines, automate data processes, and translate business requirements into scalable technical solutions. You will partner with Data Platform, Analytics, Quote-to-Cash, and Quote-to-Fulfillment teams to improve how data is stored, processed, and used across the organization. We are seeking applicants with strong SQL knowledge, practical data engineering experience, and the communication skills to connect technical solutions with business needs.

What you will be doing:
  • Design, implement, and maintain cloud-based data pipelines that support the efficient ingestion, storage, processing, and analysis of large volumes of data.
  • Partner with data engineers, analytics teams, and business stakeholders to understand requirements and translate them into scalable, reliable, and maintainable technical solutions.
  • Build automated solutions supporting Quote-to-Cash, Quote-to-Fulfillment, Analytics, and other business processes.
  • Evaluate and use appropriate Azure infrastructure and cloud services, considering scalability, performance, extensibility, cost, security, and operational support.
  • Integrate data from multiple disparate sources while maintaining data quality, integrity, accuracy, and timeliness.
  • Design and optimize data storage and processing solutions, including data lakes, data warehouses, data marts, Azure SQL, and Spark-based workflows.
  • Perform all responsibilities in accordance with company policies, procedures, security requirements, and internal controls.
What you will likely bring:
  • 2-3+ years' experience in data engineering, analytics engineering, DataOps, business intelligence engineering, or a related technical field.
  • Strong SQL skills and experience working with data pipelines, data platforms, data warehouses, data lakes, or similar data environments.
  • Experience gathering requirements from business stakeholders and explaining technical concepts clearly to technical and nontechnical audiences.
  • Strong analytical, strategic-thinking, and creative problem-solving skills, with curiosity to identify trends, investigate details, and improve processes.
  • Excellent written and verbal communication skills, with the ability to synthesize significant amounts of information and tailor it to the intended audience.
  • Ability to work independently, take ownership of assignments, and collaborate effectively as a positive and proactive team member.
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent practical experience.
What could set you apart:
  • Experience with Microsoft Azure, Azure SQL, Azure Data Lake, Azure data warehousing services, or other cloud-native data technologies.
  • Experience using PySpark, Apache Spark, Python, or comparable data-processing technologies.
  • Exposure to AI-enabled solution development using services or platforms such as Azure AI, generative AI application programming interfaces, or Hugging Face.
  • Experience creating internal automation tools, chatbots, agents, or other solutions that improve productivity for business users.

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About Epicor

At Epicor, we're truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.

We're Proactive, Proud, Partners.


Whatever your career journey, we'll help you find the right path. Through our training courses, mentorship, and continuous support, you'll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we're the essential partners for the world's most essential businesses-the hardworking companies who make, move, and sell the things the world needs.

Competitive Pay & Benefits

  • Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.

  • Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.

  • Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.

  • Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.

  • Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.

  • Global Mobility: Comprehensive support for international relocations and permanent residency processes.

Equal Opportunities and Accommodations Statement

Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you-that's who we're interested in. If you have interest in this or any role- but your experience doesn't match every qualification of the job description, that's okay- consider applying regardless.

We are an equal-opportunity employer.

Range:

Minimum: $94,000 USD Maximum: $151,000 USD

The salary range provided reflects the national average for this job title and does not represent compensation specific to Epicor Software Corporation. Actual compensation will vary based on experience, qualifications, and market factors relevant to the position.

Recruiter:

Matthew Brady

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