ZipRecruiter

Log In

1

Data Ops Engineer Jobs in Texas (NOW HIRING)

Noblesoft Technologies

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Azure Data/Ops Architect Location: Dallas TX or San Francisco CA Role/Responsibilities We are ... This role bridges data engineering, cloud architecture, and DevOps practices to ensure efficient ...

Patterson-UTI

Data Ops Lead

Houston, TX

This role sits at the intersection of data engineering, platform operations, and reliability , supporting critical data pipelines that power analytics, reporting, and operational decision-making ...

Patterson-UTI

Data Ops Lead

Houston, TX

This role sits at the intersection of data engineering, platform operations, and reliability , supporting critical data pipelines that power analytics, reporting, and operational decision-making ...

CX Data Labs

Scrum Master - Data focus

Dallas, TX · On-site

$51 - $68/hr

Work closely with data engineers, data scientists, data analysts, BI engineers, etc., aligning data ... ops, business intelligence, etc. * Bonus: Experience scaling Agile across multiple teams (SAFe ...

Patterson-UTI

Data Ops Lead

Houston, TX · On-site

This role sits at the intersection of data engineering, platform operations, and reliability , supporting critical data pipelines that power analytics, reporting, and operational decision-making ...

Keylent Inc

Data Engineers

Dallas, TX

$113K - $136K/yr

Data Engineer We are looking for a Data Engineer to join a strong engineering team focused on CRM & ... Experience with Data-ops and CICD Preferred Qualifications: * Experience in open source ...

Chase

Applied AI ML Lead - ML Ops, CTC

Houston, TX

ML Ops Engineer Step into a fast-growing area of Cybersecurity at JPMorganChase, where you can help ... Work closely with data scientists and software engineers to integrate machine learning models into ...

Habitat Energy

ML Ops Engineer

Austin, TX

Research & Data Infrastructure : Build and continuously improve our data engineering tools, backtesting frameworks, and research environments. Champion data quality by ensuring high-fidelity ingress ...

Habitat Energy

ML Ops Engineer

Austin, TX · On-site

Research & Data Infrastructure : Build and continuously improve our data engineering tools, backtesting frameworks, and research environments. Champion data quality by ensuring high-fidelity ingress ...

Habitat Energy

ML Ops Engineer

Austin, TX

Research & Data Infrastructure : Build and continuously improve our data engineering tools, backtesting frameworks, and research environments. Champion data quality by ensuring high-fidelity ingress ...

Trinet Cloud

Dev Ops Engineer, Infrastructure

Austin, TX

$52.25 - $71.50/hr

JOB SUMMARY/OVERVIEW The Dev Ops Engineer, Infrastructure will be responsible for maintaining all ... Schedule, perform, and monitor system backups and, when necessary, perform data recovery.

VEHLO

Dev Ops Engineer

Dallas, TX · Remote

$52.25 - $71.50/hr

About the Role: We're hiring a platform engineer to deliver our 2026 strategy across IT performance ... Operationalize vulnerability data into actionable Jira workflows with SLA tracking and brand-level ...

Oxefit Inc

Be Seen First

Dev Ops Engineer

Plano, TX · On-site

$107K - $127K/yr

Title : DevOps Engineer Team : Cloud Team Part-time or Full-time : Full-time Locations : Plano ... Ensuring availability of infrastructure, applications, and data * Build continuous integration ...

Oxefit Inc

Be Seen First

Dev Ops Engineer

Plano, TX · On-site

$107K - $127K/yr

Title : DevOps Engineer Team : Cloud Team Part-time or Full-time : Full-time Locations : Plano ... Ensuring availability of infrastructure, applications, and data * Build continuous integration ...

Vehlo

Dev Ops Engineer

Dallas, TX · On-site +1

$52.25 - $71.50/hr

About the Role: We're hiring a platform engineer to deliver our 2026 strategy across IT performance ... Operationalize vulnerability data into actionable Jira workflows with SLA tracking and brand-level ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

You will contribute to Data Ops and AI intelligent data practices - including data versioning, pipeline monitoring, and model retraining data support - and help establish engineering best practices ...

next page

Showing results 1-20

All JobsData Ops Engineer JobsData Ops Engineer Jobs in Texas

Data Ops Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data ops engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data ops engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Data Ops Engineers with extensive experience, advanced skills in cloud platforms, automation, and data pipeline management can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized expertise, and leadership responsibilities.

Is DataOps a good career?

DataOps engineers focus on streamlining data workflows, automation, and integration using tools like SQL, Python, and cloud platforms. The role is in demand due to the growth of data-driven decision-making and offers opportunities for advancement in analytics, data engineering, and DevOps environments.

What are Data Ops Engineers?

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.

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 does a DataOps engineer do?

A DataOps engineer is responsible for managing and automating data pipelines, ensuring data quality, and optimizing data workflows for faster and reliable data delivery. They often use tools like Apache Airflow, Jenkins, or Kubernetes and collaborate with data engineers and analysts to improve data processes and infrastructure.

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.

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 engineers make $500,000?

Senior data engineers, especially those with expertise in cloud platforms, big data tools, and advanced analytics, can earn $500,000 or more annually in high-demand industries. Achieving this level typically requires extensive experience, specialized skills, and often leadership responsibilities or equity compensation.
What are popular job titles related to Data Ops Engineer jobs in Texas? For Data Ops Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Ops Engineer jobs in Texas look for? The top searched job categories for Data Ops Engineer jobs in Texas are:
Data Ops Engineer jobs near you
Infographic showing various Data Ops Engineer job openings in Texas as of June 2026, with employment types broken down into 2% As Needed, 62% Full Time, 35% Part Time, and 1% Temporary. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Azure Data/Ops Architect

Azure Data/Ops Architect

Noblesoft Technologies

Dallas, TX • On-site

$62.75 - $81.75/hr

Contractor

Posted 23 days ago

Job description

Job Title: Azure Data/Ops Architect
Location: Dallas TX or San Francisco CA
 
Role/Responsibilities
We are seeking a highly skilled (Solution Architect) Azure Data/Ops Architect to lead the design and implementation of scalable, automated data operations on Microsoft Azure. This role bridges data engineering, cloud architecture, and DevOps practices to ensure efficient, secure, and reliable data workflows across the organization.
Must Haves for this Opportunity:
  • Experience as Solutions Architect
  • Experience with Data Opps Azure Architect
  • Experience managing End to End Data specific tower
  • Experience with Automation / Optimization (must have)
  • Experience with Azure Databricks
  • Experience with Azure Data Factory
  • Experience with PySpark
  • Experience Leading a team of 10 to 15 people onshore/ offshore mix (Leading, Mentoring, Managing)
  • Experience working within Retail environment.

Key Responsibilities:
  • Architect Azure-Based Data/Ops Solutions:
  • Design and implement end-to-end data pipelines using Azure Data Factory, Synapse Analytics, Azure Databricks, and other Azure services.
  • Develop CI/CD pipelines for data workflows using Azure DevOps and GitHub Actions.
  • Automation & Orchestration:
  • Automate data ingestion, transformation, and delivery processes.
  • Implement workflow orchestration using tools like Apache Airflow or Azure Logic Apps.
  • Monitoring & Optimization:
  • Set up monitoring and alerting for data pipelines using Azure Monitor and Log Analytics.
  • Optimize performance, cost, and scalability of data solutions.
  • Governance & Security:
  • Ensure data governance, lineage, and compliance using Azure Purview and role-based access control (RBAC).
  • Implement data security best practices including encryption, masking, and secure data sharing.
  • Collaboration & Leadership:
  • Work closely with data engineers, analysts, and business stakeholders to align data operations with business goals.
  • Promote Data/Ops culture and best practices across teams.

Required Qualifications:
  • Bachelor’s or master’s degree in computer science, Data Engineering, or related field.
  • 7+ years of experience in data engineering or cloud architecture.
  • Deep expertise in Azure services: Data Factory, Synapse, Databricks, Blob Storage, Azure SQL, Cosmos DB.
Strong understanding of DevOps principles and CI/CD tools