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Senior Dataops Engineer 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 ...

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 ...

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

Teams Video interview 1 hour - 1 round · We are seeking a highly skilled and experienced Senior DataOps Engineer to join our EPEO DataOps team. · This role will be pivotal in designing, building ...

NAVA Software Solutions

Sr Data Developer

Houston, TX · On-site

Senior Data Developer Location: Houston TX - 2 days/week hybrid Type: Full time/Direct Hire As the ... Leverage tools for DataOps (CI/CD) Requirements * Bachelor's degree in Computer Science, Data ...

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Senior Dataops Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior dataops engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for senior dataops engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What are some common challenges a Senior DataOps Engineer faces when scaling data infrastructure for a growing organization?

A Senior DataOps Engineer often encounters challenges such as ensuring data pipeline reliability during rapid scaling, managing increasing data volume and complexity, and maintaining high data quality across distributed environments. Balancing automation with flexibility, integrating new tools with legacy systems, and coordinating with cross-functional teams (like data scientists and DevOps) are also key hurdles. Success in this role requires proactively identifying bottlenecks, optimizing workflows, and fostering a culture of collaboration to support evolving business needs.

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

To thrive as a Senior DataOps Engineer, you need a solid background in data engineering, automation, CI/CD pipelines, and strong knowledge of data architecture, usually supported by a degree in computer science or a related field. Expertise in tools like Apache Airflow, Kubernetes, Docker, cloud platforms (AWS, Azure, or GCP), and proficiency with scripting languages such as Python or Bash are typically required, along with certifications like AWS Certified Solutions Architect or Google Cloud Data Engineer. Outstanding problem-solving skills, collaboration, and effective communication are essential soft skills for integrating diverse teams and managing complex workflows. These capabilities ensure data reliability, streamlined operations, and scalable solutions in dynamic data-driven environments.

What is the difference between Senior Dataops Engineer vs Data Engineer?

AspectSenior Dataops EngineerData Engineer
CredentialsTypically requires experience with cloud platforms, scripting, and data pipeline toolsRequires knowledge of database systems, SQL, and data modeling
Work EnvironmentFocuses on deployment, automation, and maintaining data infrastructureDesigns and builds data pipelines and storage solutions
Industry UsageCommon in organizations emphasizing data operations and automationWidespread across industries for data storage and processing

The main difference is that Senior Dataops Engineers focus on managing and automating data workflows and infrastructure, while Data Engineers primarily design and build data pipelines and storage systems. Both roles require strong technical skills, but their focus areas differ within the data ecosystem.

What are Senior DataOps Engineers?

Senior DataOps Engineers are experienced professionals who design, implement, and manage data pipelines and workflows to ensure reliable, efficient, and scalable data operations within an organization. They bridge the gap between data engineering, DevOps, and analytics by automating data integration, deployment, and monitoring processes. Their role often includes optimizing data infrastructure, ensuring data quality, and enabling data teams to quickly deliver insights. Senior DataOps Engineers also mentor junior team members and help define best practices for data operations.
More about Senior Dataops Engineer jobs
What cities are hiring for Senior Dataops Engineer jobs? Cities with the most Senior Dataops Engineer job openings:
What are the most commonly searched types of Dataops Engineer jobs? The most popular types of Dataops Engineer jobs are:
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What job categories do people searching Senior Dataops Engineer jobs look for? The top searched job categories for Senior Dataops Engineer jobs are:
Senior Dataops Engineer jobs near you
Infographic showing various Senior Dataops Engineer job openings in the United States as of July 2026, with employment types broken down into 7% Locum Tenens, 12% As Needed, 39% Full Time, 2% Contract, 39% Nights, and 1% Summer. Highlights an 63% Physical, 8% Hybrid, and 29% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior DataOps Engineer (W2 Position)

Senior DataOps Engineer (W2 Position)

Megan soft Inc

Dearborn, MI • On-site

$96K - $131K/yr

Other

Posted 17 days ago

Job description

We have a job opportunity of a Role Senior DataOps Engineer with given job description on #W2. Please forward updated profile to praveen@megansoft.com or +1(248) 266-0910.

Role: Senior DataOps Engineer (W2 Position)

Location: Dearborn, MI (Hybrid)

Duration: 12+ Months

Experience: 8+ Years

JD:

Core DataOps & Engineering Skills:

  • Proven experience as a DataOps Engineer, Data Engineer, or similar role, with a strong focus on operationalizing data pipelines.
  • Expertise in designing, building, and optimizing large-scale data pipelines for both batch and real-time processing.
  • Strong understanding of DataOps principles, including CI/CD, automation, data quality, data governance, and monitoring.
  • Proficiency in programming languages commonly used in data engineering, such as Python.
  • Experience with Infrastructure as Code (IaC) tools (e.g., Terraform) for managing cloud resources.
  • Solid understanding of data modeling, schema design, and data warehousing concepts (e.g., star schema).

Thanks & Regards

Praveen

Megan Soft, Inc.

Direct No: +1(248) 266-0910

E Mail: praveen@megansoft.com