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Data Ops Engineer Jobs in Texas (NOW HIRING)

Service Experts

Principal Architect

Richardson, TX · On-site

... engineering, analytics, and platform operations teams. • Act as the single architectural and ... Data Operations & Reliability • Own the Data Ops operating model including incident management ...

Tiger Analytics Inc.

ML Ops Architect

Dallas, TX · On-site +1

As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers ... Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to ...

Apex Systems

AWS ML Ops Engineer

Houston, TX

$50.25 - $69/hr

... engineering Strong hands-on experience with AWS development and deployment Experience with MLOps ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Tiger Analytics Inc.

ML Ops Architect

Dallas, TX

As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers ... Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to ...

Esolvit Inc

Sr. Dev. Ops Engineer

Austin, TX · On-site

$128K - $165K/yr

... data and cloud computing. Seamless delivery is ensured by our professionals, through the usage of proven methodologies, consistent practices, management disciplines, and business metrics. ESolvit ...

Grassroots Carbon

MLOps Engineer

San Antonio, TX · On-site +1

Grassroots Carbon is proud to be a portfolio company of Soilworks Natural Capital The Opportunity Grassroots Carbon is seeking a hands-on AI/ML Ops Engineer to build and maintain the data ...

Grassroots Carbon

MLOps Engineer

San Antonio, TX · On-site

Grassroots Carbon is proud to be a portfolio company of Soilworks Natural Capital The Opportunity Grassroots Carbon is seeking a hands-on AI/ML Ops Engineer to build and maintain the data ...

Grassroots Carbon

MLOps Engineer

San Antonio, TX · On-site

Grassroots Carbon is proud to be a portfolio company of Soilworks Natural Capital The Opportunity Grassroots Carbon is seeking a hands-on AI/ML Ops Engineer to build and maintain the data ...

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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.
Director, Data Solutions & Engineering

Director, Data Solutions & Engineering

Cinemark USA, Inc

Plano, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 23 days ago

Cinemark rating

5.7

Company rating: 5.7 out of 10

Based on 513 frontline employees who took The Breakroom Quiz

15th of 37 rated movie theaters

Job description

Join Our Team

As part of our Cinemark Universe, you'll discover fun opportunities with real growth potential and plenty of perks. With 500+ theatres and nearly 6,000 screens; we're truly a global presence of 20,000 movie lovers working together to make unforgettable experiences.

Role Summary:

The Director, Data Solutions & Engineering is responsible for developing and executing the company’s data engineering vision, ensuring that data infrastructure, architecture, and platforms support business growth, innovation, and digital transformation. Your expertise in data, analytics, and technology will be instrumental in ensuring that we remain competitive, secure, and adaptable in a rapidly evolving business landscape. The primary focus will be on solving business problems and driving results through advanced analytics. The role will also work on enabling various data to more nibbly flow to external partners helping us drive scale, but also making data more accessible for reporting and structured in a way that the future of AI can better enable less sophisticated users to self-serve their own insights/answers. The ideal candidate will be a highly motivated leader and problem-solver who works cross functionally across various departments.

Responsibilities:

  • Define and implement the data engineering strategy.

  • Lead and mentor the data engineering team.

  • Develop and align data engineering strategies with business objectives.

  • Collaborate with stakeholders to establish data governance and access control policies.

  • Supervise the design, development, and maintenance of data pipelines and architectures using Azure Data services.

  • Work with cross-functional teams to ensure data solutions meet business needs.

  • Ensure data quality, integrity, and security across all platforms.

  • Foster innovation and continuous improvement in data engineering practices.

  • Manage budgets, resources, and timelines for data engineering projects.

  • Stay informed about the latest trends and advancements in data engineering.

  • Maintain data quality and integrity for analytical purposes.

  • Demonstrate excellent problem-solving skills and the ability to work under pressure.

  • Exhibit strong communication and interpersonal skills for effective cross-functional collaboration.

  • Proven ability to deliver impactful data-driven solutions and lead teams effectively.

  • Develop strategies to make data environments more user-friendly and accessible for non-technical stakeholders.

  • Implement tools and practices that enable broader access to data insights across the organization.

  • Increase the ease and speed of data integration both within internal systems as well as between internal and external systems

Requirements

  • Bachelor's or Master’s degree in computer science, Data Engineering, Engineering or a related field.

  • 10+ years of experience in data engineering, with at least 5 years in a leadership role.

  • Expertise in Microsoft Fabric, Azure Data services (Azure Data Factory, Azure Databricks, Azure SQL Database, etc.).

  • Strong understanding of data architecture, data modeling, and ETL processes.

  • Proven experience in managing large-scale data projects and teams.

  • Excellent problem-solving, analytical, and communication skills.

  • Ability to work in a fast-paced, dynamic environment.

  • Proven track record in implementing AI and machine learning solutions within data environments.

Preferred Skills:

  • Project Management, Agile Development, Full-Stack Azure with certifications from Azure, Databricks, or Snowflake.

  • Experience with other Microsoft Technologies (Microsoft Fabric, Power BI, Azure Data Ops).

  • Certification in Microsoft Azure.

Benefits Available:

At Cinemark, we believe every team member should feel like a hero. Each career comes with a variety of blockbuster benefits for both hourly and salaried team members.

  • Employee Discount
  • 401(k) Matching*
  • Growth Opportunities
  • Education Assistance*
  • Health Benefits*
  • Parental Leave*
  • Paid Time Off*
  • Daily Pay*
  • Free Movies*

*Benefits may vary by career category, so be sure to check the specific details on our career site.

DISCLAIMER: This job description is intended only as a general guideline of your duties and responsibilities at Cinemark and is not a legally binding contract. Cinemark reserves the right to amend, change or terminate the job description, as it deems appropriate. Any change amendments, or modifications may be implemented even though they have not been communicated, reprinted or substituted in this job description.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  

Cinemark is an Equal Opportunity Employer

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About Cinemark

Sourced by ZipRecruiter

Headquartered in Plano, TX, Cinemark Holdings, Inc. provides premium out-of-home entertainment experiences as one of the largest and most influential theatrical exhibition companies in the world with 507 theatres and 5,765 screens in the U.S. and Latin America as of September 30, 2023. • Our circuit is the third largest in the U.S. with 315 theatres and 4,370 screens in 42 states. • We ranked either #1 or #2 by box office revenues in 80% of our top 25 markets. • We are one of the most geographically diverse circuits in Latin America with 192 theatres and 1,395 screens in 13 countries. • We had a presence in 15 of the top 20 metropolitan cities in South America.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Plano, TX, US

Year founded

1984

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