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Dataops Jobs (NOW HIRING)

Guild

Senior DataOps Engineer

$94K - $136K/yr

Position Summary The Senior DataOps Engineer is responsible for executing the organization's data management and storage system strategy ensuring timely access to secure, resilient, scalable, and ...

Kenvue

IT Lead DataOps Data Engineer

Summit, NJ · On-site

$169K - $176K/yr

Kenvue Brands LLC Job Title: IT Lead DataOps Data Engineer Job Code: B378.101 Job Location: Summit, NJ Job Type: Full-Time Rate of Pay: $169,541 - $176,322 Job Duties: Lead the development and ...

Scout Motors

Senior DataOps Engineer

Charlotte, NC · On-site

$119K - $157K/yr

Bachelor's degree in computer science, information technology, or related field or equivalent work experience. * 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive ...

Kforce Technology Staffing

Senior DataOps Engineer

Queens, NY · On-site

$127K - $168K/yr

Kforce has a client that is seeking a Senior DataOps Engineer in Long Island City, NY. Summary: The Senior Data Operations Engineer is a crucial member of the team, providing essential data support ...

Scout Motors

Senior DataOps Engineer

Charlotte, NC · On-site

$102K - $140K/yr

Bachelor's degree in computer science, information technology, or related field or equivalent work experience. * 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive ...

MM International

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105K - $126K/yr

Role: DataOps Engineer Location; Hybrid work Dearborn, MI (starting September 1st, will be moving to 4 days a week onsite). Duration: 12 month contract. Additional Information: Hybrid Position ...

NAVA Software Solutions

Sr Data Developer

Houston, TX · On-site

Leverage tools for DataOps (CI/CD) Requirements * Bachelor's degree in Computer Science, Data Science, or related field * 8+ years of work experience; 10+ years of experience in related work if no ...

Patterson-UTI

Data Ops Lead

Houston, TX · On-site

We are seeking a DataOps Lead to own and advance the operational reliability, quality, and scalability of our cloud-based data platforms . This role sits at the intersection of data engineering ...

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How much do dataops jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for dataops in the United States is $23.13, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $24.04 per hour, depending on experience, location, and employer.

What are DataOps?

DataOps, short for Data Operations, is a set of practices, processes, and technologies that combine data engineering, data integration, and DevOps methodologies to improve the quality and speed of data analytics. DataOps aims to streamline the flow of data from source to value, enabling organizations to deliver reliable, high-quality data to stakeholders more efficiently. This approach emphasizes collaboration, automation, and monitoring throughout the data lifecycle to reduce errors and shorten development cycles. The ultimate goal of DataOps is to create an agile data pipeline that adapts quickly to changing business needs.

What jobs in the US pay 300,000 a year?

In the US, senior DataOps roles such as Lead Data Engineer or Director of Data Engineering can reach or exceed a $300,000 annual salary, especially with extensive experience, advanced skills in cloud platforms, automation, and data pipeline management. High compensation is often associated with leadership positions, specialized expertise, and working in large organizations or tech companies.

Is DataOps a good career?

DataOps is a growing field focused on streamlining data management and automation using tools like CI/CD pipelines and cloud platforms. It offers opportunities for professionals with skills in data engineering, scripting, and analytics, and typically involves collaborative work in fast-paced environments. The role can be rewarding for those interested in data workflows and continuous improvement processes.

What is the difference between Dataops vs Data Engineer?

AspectDataopsData Engineer
Primary FocusAutomating data workflows, deployment, and operational efficiencyBuilding and maintaining data pipelines, storage, and infrastructure
Skills & CertificationsDevOps tools, scripting, cloud platforms, CI/CD practicesSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentCollaborates with DevOps, data teams, and operationsWorks closely with data scientists, analysts, and infrastructure teams
Industry UsageUsed in organizations focusing on data deployment and automationUsed in data infrastructure development and data pipeline creation

While both Dataops and Data Engineers work with data infrastructure, Dataops emphasizes automation, deployment, and operational efficiency, whereas Data Engineers focus on building and maintaining data pipelines and storage systems. Understanding these differences helps organizations assign the right roles for their data needs.

What jobs pay 500,000 a year in the US?

High-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. In the tech industry, senior data professionals like DataOps engineers with extensive experience, advanced skills in automation and cloud platforms, and leadership responsibilities may also reach this income level, especially in large organizations or consulting firms. Achieving this salary typically requires significant expertise, certifications, and years of experience.

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

To thrive as a DataOps Engineer, you need expertise in data engineering, automation, cloud platforms, and a solid understanding of CI/CD pipelines, typically backed by a degree in computer science or related fields. Familiarity with tools like Apache Airflow, Kubernetes, Docker, Jenkins, and cloud services such as AWS, GCP, or Azure is commonly required, along with knowledge of scripting languages like Python or Bash. Strong collaboration, problem-solving, and communication skills help DataOps professionals work effectively across data, development, and operations teams. These abilities ensure reliable, scalable, and efficient data infrastructure, enabling organizations to quickly deliver high-quality data solutions.

What jobs pay 200,000 a year in the USA?

DataOps professionals with extensive experience, advanced skills in data management, automation, and cloud platforms can earn salaries approaching or exceeding $200,000 annually, especially in senior or specialized roles. High-paying positions often require certifications, strong technical expertise, and leadership responsibilities within data engineering or analytics teams.

How does a DataOps professional typically collaborate with data engineers, analysts, and other IT teams?

DataOps professionals play a key role in bridging the gap between data engineering, analytics, and IT by facilitating efficient, automated workflows and ensuring data quality across the pipeline. They often work closely with data engineers to streamline data integration and deployment processes, while collaborating with analysts to support timely access to reliable data. Regular communication and cross-functional teamwork are essential, as DataOps is responsible for implementing best practices that help different teams deliver insights faster and with fewer errors. This collaborative environment also encourages continuous feedback and process improvement.
More about Dataops jobs
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Dataops jobs near you
Infographic showing various Dataops job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $48,110 per year, or $23.1 per hour.
Senior DataOps Engineer (Snowflake / Talend / Data Platform)

Senior DataOps Engineer (Snowflake / Talend / Data Platform)

CEI

Richmond, VA

$121K - $160K/yr

Full-time

Posted 20 days ago

Job description

Senior Programmer AnalystJob at a Glance
  • Title: Senior Programmer Analyst — DataOps Engineer
  • Location: Richmond, VA — local candidates only (must be able to drive in)
  • Contract: W2 only
Overview

The organization is investing in modern, scalable data platforms — Snowflake, Oracle Exadata, Talend, Denodo, and Informatica IDMC — to deliver reliable, performant, and trusted analytics at enterprise scale. This role owns the operational health, performance, and evolution of those platforms, enabling DataOps best practices and ensuring they are production-ready, observable, and optimized for cost and reliability.

Key Responsibilities
  • Own day-to-day operation, reliability, and performance of enterprise data platforms
  • Implement and evolve DataOps standards, tooling, and operational processes
  • Partner with architecture and delivery teams to evaluate and implement new capabilities
  • Drive platform optimization across performance, cost, resiliency, and user experience
  • Support analytics, data science, and reporting teams with data onboarding and issue resolution
  • Ensure platforms are secure, scalable, observable, and production-ready
  • Mentor junior engineers and promote platform engineering best practices
Required Skills
  • 7+ years in data platform engineering, data infrastructure, and/or analytics platform operations
  • 5+ years writing and optimizing complex SQL for analytical and reporting workloads
  • 3+ years designing Data Marts with dimensional modeling (facts, dimensions, star/snowflake schemas)
  • Experience supporting enterprise data platforms such as Talend, Snowflake, Oracle Exadata, Denodo, and Informatica IDMC
  • Proven experience setting up, supporting, and operating enterprise data platforms
  • Experience with real-time streaming platforms
  • Data virtualization platforms (e.g., Denodo)
  • Data catalog platforms (e.g., Informatica IDMC)
  • Data observability platforms
  • ABAC Security Platform experience
  • Strong troubleshooting, monitoring, and operational dashboard skills
  • Ability to document standards, runbooks, and operational procedures
  • Experience supporting releases, upgrades, and platform enhancements
  • Collaboration with security and governance teams on access controls and compliance
  • Technical guidance across multiple initiatives
Required Education
  • No Education Requirements
Preferred Skills
  • Infrastructure as code or automation frameworks
  • Cloud data platform optimization and cost management
  • Security, access controls, and governance models in data platforms
  • Familiarity with Power Apps or low-code analytics enablement
Why Should I Apply?

This role offers the opportunity to work with cutting-edge data platforms and influence enterprise-scale analytics solutions. If you are passionate about DataOps, platform reliability, and innovative data architecture, this position is ideal for you.

About CEI:
As a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers' workforce and project requirements.

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