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Senior Dataops Engineer Jobs (NOW HIRING)

RIT Solutions, Inc.

DataOps Engineer

Tampa, FL · On-site

$98K - $135K/yr

RIT Solutions, Inc. is seeking a Senior DataOps Engineer. The role involves leveraging technical skills in SQL, Python, and Snowflake to enhance data operations, along with leading a team in ...

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 ...

Scout Motors

Senior DataOps Engineer

Charlotte, NC

$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 ...

Upperline Health Inc

Senior DataOps Engineer

Nashville, TN · On-site

$100K - $138K/yr

Senior-level experience in DataOps, Platform Engineering, Database Engineering, Backend Engineering, Application Data Engineering, Data Engineering, or a closely related role. * Demonstrated ...

Upperline Health

Senior DataOps Engineer

Nashville, TN · On-site

$99K - $136K/yr

Senior-level experience in DataOps, Platform Engineering, Database Engineering, Backend Engineering, Application Data Engineering, Data Engineering, or a closely related role. * Demonstrated ...

Upperline Health Inc

$77K - $105K/yr

Senior-level experience in DataOps, Platform Engineering, Database Engineering, Backend Engineering, Application Data Engineering, Data Engineering, or a closely related role. * Demonstrated ...

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 ...

Perfict

Mid-Senior DataOps Engineer

Frisco, TX · On-site

$98K - $135K/yr

We are seeking a highly skilled and experienced Senior Data Ops Engineer to join our Regulatory Reporting Platform Team, responsible for designing, implementing, and managing process automation and ...

Apple Inc.

PART DataOps Engineer

Cupertino, CA · On-site

Apple is seeking a senior, hands‑on Data Engineer to join the Next‑Gen Workflow team within our Finance Process, Analytics, Reporting & Technology (PART) Data Operations group. You'll design and ...

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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 Sep 12, 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 is a senior DataOps engineer?

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.

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.

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Senior Dataops Engineer jobs near you
Infographic showing various Senior Dataops Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

DataOps Engineer

Tampa, FL • On-site

RIT Solutions, Inc.
Recruiting and Staffing Services • 201 - 500 employees
Learn more about RIT Solutions, Inc.external

$98K - $135K/yr

Full-time

Re-posted 29 days ago

Job description

Job Summary:
RIT Solutions, Inc. is seeking a Senior DataOps Engineer. The role involves leveraging technical skills in SQL, Python, and Snowflake to enhance data operations, along with leading a team in automation and optimization efforts.
Qualifications:
Required:
• SQL
• Python
• Snowflake - Data Engineer/DBA Admin
• Databricks
• Hands on experience in automation, optimization, and programming
• Team lead experience
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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