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Senior Dataops Engineer Jobs in Colorado (NOW HIRING)

Sr. Data Ops/Data Platform Administrator

Denver, CO · On-site

$51.25 - $70.50/hr

We are looking for a Senior DataOps/Data Platform Administrator to manage and maintain our hybrid ... Your goal is to manage the environment so effectively that our data engineers can focus entirely on ...

Cloud Engineer

Denver, CO · On-site

$57.25 - $76.75/hr

Denver, CO - Hybrid Duration: 12 Months Contract Senior Operations & Data Engineer (Informatica ... Implement and manage DataOps and CI/CD pipelines to automate deployments for the broader ...

Data Ops Informatica

Denver, CO · On-site

$70 - $80/hr

Cloud Engineer Position Objective: The Client seeking a highly specialized Senior Operations and ... Implement and manage DataOps and CI/CD pipelines to automate deployments for the broader ...

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

This role is a senior individual contributor and technical leader who reports to a Senior Manager ... Proven experience implementing CI/CD pipelines, Infrastructure as Code, and DataOps practices.

Data Engineer, Principal

Denver, CO · On-site

$117.10 - $130.87/hr

This role reports to a Senior Manager, Data Solutions, or Director, and partners with Enterprise ... Champion and apply DevOps and DataOps best practices, including CI/CD, automated testing ...

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

This role reports to a Senior Manager, Data Solutions, or Director, and partners with Enterprise ... Champion and apply DevOps and DataOps best practices, including CI/CD, automated testing ...

Senior Dataops Engineer information

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.

What are the most commonly searched types of Dataops Engineer jobs in Colorado?

The most popular types of Dataops Engineer jobs in Colorado are:

What are popular job titles related to Senior Dataops Engineer jobs in Colorado?

For Senior Dataops Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Senior Dataops Engineer jobs in Colorado look for?

The top searched job categories for Senior Dataops Engineer jobs in Colorado are:

What cities in Colorado are hiring for Senior Dataops Engineer jobs?

Cities in Colorado with the most Senior Dataops Engineer job openings:

Infographic showing various Senior Dataops Engineer job openings in Colorado as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Sr. Data Ops/Data Platform Administrator

SM Energy Company

Denver, CO • On-site

$51.25 - $70.50/hr

Full-time

Re-posted 29 days ago


SM Energy rating

8.8

Company rating: 8.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

6th of 87 rated oil and gas companies


Job description

Job Summary:
SM Energy Company is seeking a Senior DataOps/Data Platform Administrator to manage and maintain their hybrid data ecosystem. This hands-on role focuses on the stability, performance, and day-to-day operations of both on-premises and cloud-based data tools, ensuring that systems are available, performant, and secure.
Responsibilities:
• Execute regular upgrades, patching, and configuration of VDP servers to ensure environment stability.
• Monitor system uptime and manage environment-specific settings across Dev, QA, and Production.
• Manage caching and resource allocation to maintain optimal query speeds for the business.
• Act as the Tier 3 point of escalation for any data connectivity or performance issues.
• Day-to-day management of Role-Based Access Control (RBAC), user provisioning, and security integrations.
• Monitor Snowflake credit usage and Databricks consumption; manage resource monitors and alerting to prevent budget overages.
• Oversee the operational health of cloud services.
• Manage deployments for Astro/Airflow, ensuring environment variables and secrets are correctly configured and updated.
• Monitor dbt Cloud job runs, manage environment configurations, and troubleshoot integration issues between dbt and Snowflake.
• Maintain existing CI/CD pipelines to ensure code moves from development to production without manual intervention.
• Maintain the 'guardrails'—security policies, naming conventions, and deployment standards—that keep the platform organized.
• Keep system documentation, environment diagrams, and administrative procedures up to date.
• Ensure the data engineering team has the necessary permissions and stable environments required to meet their delivery timelines.
Qualifications:
Required:
• 5+ years in a Systems Admin, Database Admin (DBA), or DataOps role.
• Practical experience managing on-prem Denodo with a focus on data delivery and performance tuning.
• Strong administrative background in Snowflake (managing warehouses, roles, and usage) and familiarity with Databricks.
• Proficient in dbt Cloud, Fivetran, and Airflow.
• Strong understanding of SQL, Git/DevOps, and basic CI/CD pipeline maintenance.
Company:
SM Energy Company is an independent energy company focused on the exploration, exploitation, development, acquisition, and production of natural gas and crude oil in the United States. Founded in 1986, the company is headquartered in Denver, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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