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Data Devops Jobs in Houston, TX (NOW HIRING)

Data Architect

Houston, TX · On-site

$120 - $180/hr

... Data Architect to join our global Information Technology (IT) capability. The IT capability is a ... Engineering, Operations, Commercial, and Finance teams to design, build, and scale innovative ...

Data Solutions Engineer

Houston, TX · On-site

$109K - $131K/yr

... Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document Intelligence for turning unstructured content into usable data. • Data analysis, data modeling, data ...

Senior Data Engineer

Houston, TX · On-site

$80K - $133K/yr

Design and implement CI/CD pipelines and DevOps best practices for data engineering workflows. * Collaborate with architects, developers, analysts, and business stakeholders to translate requirements ...

DevOps Manager

Houston, TX

$50.25 - $69/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Experience with: Linux systems administration, preferably in an enterprise ...

Data Engineer

Houston, TX · On-site

$53K - $88K/yr

Exposure to CI/CD tools and DevOps practices. * AWS, Azure, Databricks, or related cloud/data certifications. * Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Senior Data Engineer

Houston, TX · On-site

$80 - $133/hr

Design and implement CI/CD pipelines and DevOps best practices for data engineering workflows.Collaborate with architects, developers, analysts, and business stakeholders to translate requirements ...

Data Engineer

Houston, TX · On-site

$89K - $148K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... and DevOps. What You Will Need: * U.S. Citizenship/ Green Card is required and Must be able to ...

CI/CD and DevOps practices * Exposure to AI/ML and MLOps platforms * Client-facing architecture and consulting experience Qualifications * Bachelor's or Master's degree in Computer Science, IT, Data ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Strong Git and CI/CD experience (Azure DevOps or GitHub Actions), including version control discipline, code review, and automated testing * Experience delivering data to BI/analytics tools such as ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Strong Git and CI/CD experience (Azure DevOps or GitHub Actions), including version control discipline, code review, and automated testing * Experience delivering data to BI/analytics tools such as ...

Data Engineer

Houston, TX · On-site

$100 - $140/hr

Strong Git and CI/CD experience (Azure DevOps or GitHub Actions), including version control discipline, code review, and automated testing * Experience delivering data to BI/analytics tools such as ...

Data Engineer

Houston, TX · On-site

$80 - $110/hr

Strong Git and CI/CD experience (Azure DevOps or GitHub Actions), including version control discipline, code review, and automated testing * Experience delivering data to BI/analytics tools such as ...

Data Graphics Developer The Houston Chronicle is looking for an ambitious senior-level graphics ... We want a teammate who aspires to be a key player in an exciting, modern news operation that values ...

Data Graphics Developer The Houston Chronicle is looking for an ambitious senior-level graphics ... We want a teammate who aspires to be a key player in an exciting, modern news operation that values ...

Data Graphics Developer The Houston Chronicle is looking for an ambitious senior-level graphics ... We want a teammate who aspires to be a key player in an exciting, modern news operation that values ...

Showing results 41-60

Data Devops information

See Houston, TX salary details

$15

$57

$82

How much do data devops jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data devops in Houston, TX is $57.81, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $66.35 per hour, depending on experience, location, and employer.

What is a Data DevOps?

Data DevOps professionals are specialists who bridge the gap between data engineering and DevOps practices. They focus on automating, optimizing, and managing data pipelines, infrastructure, and workflows to ensure reliable and scalable data delivery. Their responsibilities often include integrating data tools with CI/CD processes, maintaining data security, and enabling collaboration between data teams and operations. By applying DevOps principles to data platforms, they help organizations deliver data-driven solutions more efficiently and with higher quality.

How does a Data DevOps professional typically collaborate with data engineers and data scientists on projects?

As a Data DevOps professional, you play a crucial role in bridging the gap between data engineering, data science, and operations teams. You’ll work closely with data engineers to automate data pipelines, ensure continuous integration and deployment, and maintain robust data infrastructure. Collaboration with data scientists often involves streamlining model deployment, monitoring data workflows, and troubleshooting issues to ensure that analytical solutions can be quickly and reliably put into production. Strong communication skills and a proactive approach to problem-solving are key for fostering effective teamwork across these disciplines.

What are the key skills and qualifications needed to thrive as a Data DevOps professional, and why are they important?

To thrive as a Data DevOps professional, you need a solid background in data engineering, automation, and cloud infrastructure, often supported by a degree in computer science or a related field. Familiarity with tools like Jenkins, Docker, Kubernetes, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, alongside experience with CI/CD pipelines and data pipeline orchestration systems like Airflow. Strong problem-solving skills, collaboration, and effective communication help you bridge the gap between data engineering and operations teams. These skills ensure efficient, reliable, and scalable data systems that support organizational analytics and business goals.

What is the difference between Data Devops vs Data Engineer?

AspectData DevopsData Engineer
CredentialsCertifications in cloud platforms, Devops tools, scriptingData management, SQL, cloud certifications
Work EnvironmentCollaborates with Devops, IT, and data teams; focuses on deployment pipelinesBuilds data pipelines, manages databases, and data architecture
Employer & Industry UsageTech companies, data-driven organizations, cloud providersFinancial, healthcare, tech industries, data-centric firms

Data Devops and Data Engineers share overlapping skills in cloud and scripting but differ in focus. Data Devops emphasizes deployment, automation, and infrastructure for data systems, while Data Engineers concentrate on building and maintaining data pipelines and storage solutions. Both roles are vital in modern data ecosystems, often collaborating to ensure efficient data workflows.

Is data DevOps a high paying job?

Data DevOps roles are generally well-compensated due to their technical complexity and demand for skills in cloud platforms, automation, and scripting. Salaries tend to be higher than average IT positions and can increase with experience, certifications, and expertise in tools like Docker, Kubernetes, and CI/CD pipelines.

What job categories do people searching Data Devops jobs in Houston, TX look for?

The top searched job categories for Data Devops jobs in Houston, TX are:

Infographic showing various Data Devops job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $120,239 per year, or $57.8 per hour.

Data Architect

Koch

Houston, TX • On-site

$120 - $180/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Key responsibilities

  • Design, build, and evolve enterprise-endorsed data products using appropriate data modeling patterns.

  • Translate complex business problems into reusable data models, domain structures, and governed data assets to enable analytics, reporting, and AI outcomes.

  • Partner with various teams and stakeholders to ensure data products are usable, scalable, and aligned with business priorities.


Job description

Houston, Texas | Tulsa, Oklahoma | Wichita, Kansas

Koch Engineered Solutions (KES) is currently looking for a Data Architect to join our global Information Technology (IT) capability. The IT capability is a vital component of the KES strategy to improve business performance through the application of technology and to profitably transform our business. Our team operates with a startup mentality—working as an integrated group with the Engineering, Operations, Commercial, and Finance teams to design, build, and scale innovative solutions that transform KES work processes.

A Data Architect engages with KES IT and business teams to design, mature, and scale enterprise-endorsed data products that power decision-making, analytics, and AI solutions across KES business units. This role translates complex business problems into well-structured, reusable data models and governed data assets that become trusted foundations for the enterprise.

You must demonstrate the ability to balance technical rigor with business acumen—connecting data modeling decisions to business outcomes, product usability, governance, and long-term scalability. The most impactful work in this role happens at the intersection of data architecture craft, domain understanding, and practical delivery of reusable data products.

A candidate who is proactive, contribution-motivated, and passionate about building data foundations, reusable patterns, and enterprise standards will be a great fit for this opportunity.

This position can be located in our Wichita, KS, Tulsa, OK, or Houston, TX office. Visa Sponsorship is not available for this position.

What You Will Do
  • Design, build, and evolve enterprise-endorsed data products using dimensional modeling or other patterns appropriate to business use cases.
  • Translate complex business problems into reusable data models, domain structures, semantic layers, and governed data assets that enable analytics, reporting, and AI outcomes.
  • Collaborate with other Data Architects and Analytics Leaders to define, align, and promote data modeling standards, naming conventions, documentation practices, and reusable design patterns across the KES IT Data & Analytics team.
  • Partner with Data Engineers, Analytics Engineers, BI Developers, Product Teams, and business stakeholders to ensure data products are usable, scalable, and aligned to business priorities.
  • Facilitate alignment with stakeholders and product owners on shared business definitions, domain boundaries, metric intent, and data product expectations so endorsed data products reflect both business meaning and architectural standards.
  • Mature the KES data foundation by identifying gaps in data coverage, quality, lineage, and structure, then prioritizing improvements through an iterative, product-minded approach.
  • Support AI-ready data architecture by designing well-governed, well-documented data layers that enable model training, feature engineering, semantic understanding, and AI-assisted insights.
  • Evaluate emerging tools, architecture patterns, and delivery practices that improve how data products are built, governed, reused, and scaled across the organization.
Who You Are (Basic Qualifications)
  • Experience in data modeling, including dimensional modeling or related patterns for analytics and reporting workloads.
  • Experience writing and optimizing SQL against cloud data warehouses.
  • Proven experience communicating data architecture and technology concepts in both execution detail and broad terms to a variety of technical and business audiences.
  • Demonstrated capability partnering with customers to understand business and operating models, then translating them into coherent data models and reusable data products.
  • Experience with data transformation tools for developing and managing data transformation pipelines.
  • Demonstrated experience applying data modeling standards, documentation practices, and reusable design patterns in a team or enterprise environment.
What Will Put You Ahead
  • 3+ years of experience in data modeling, including dimensional modeling or related patterns for analytics and reporting workloads.
  • 5+ years of experience writing and optimizing SQL against cloud data warehouses.
  • Experience building data warehouse, data lake, and data engineering solutions in Snowflake.
  • Experience with Microsoft Fabric for data engineering, warehousing, or analytics workloads.
  • Experience with graph database technologies and relationship-oriented data modeling patterns.
  • Technical experience with serverless cloud technology tools and services (AWS: S3, Glue, Redshift, Lambda, etc.)
  • Exposure to data quality and observability practices
  • Understanding of Master Data Management (MDM) concepts and practices.
  • Experience with DevOps methodologies, processes, and tools such as CI/CD, GitHub, and Azure DevOps.
  • Experience designing data architecture that supports AI, including metadata management, curated semantic layers, documentation, and governed reusable data assets.
  • Bachelor's degree in computer science, Engineering, Mathematics, or a related field.

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

Hiring Philosophy

All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .

Who We Are

As a Koch company, Koch Engineered Solutions (KES) is a dynamic network of businesses that work together to create an ecosystem of domain expertise to increase operational efficiency, improve safety, reduce waste, and reduce emissions.

At Koch, employees are empowered to do what they do best to make life better. Learn how ourbusiness philosophy helps employees unleash their potential while creating value for themselves and the company.

Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here , aquí , or tu ). #LI-MW1

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