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Data Devops Jobs in Houston, TX (NOW HIRING)

Marathon Petroleum Company

Senior Data Operations Engineer

Houston, TX · On-site

$101K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Standardize reusable infrastructure patterns with IaC, CI/CD, and DevOps practices. * Create self ... Cloud & Data Platform Management * Operate enterprise platforms across Databricks, Azure Lakehouse ...

New

Paul Hastings

Senior Data Engineer

Houston, TX · On-site

$194K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Implement robust DevOps pipelines for code versioning, testing, deployment and monitoring ...

PINNACLE

Senior Data Engineer

Pasadena, TX · On-site

$96K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with the DevOps team to build the optimal solutions for extract, transform, and load between SQL DB's, data API's, and a yet to be determined solution for dynamic reporting * Empower data ...

TheRIIM LLC

DevOps Engineer

Richmond, TX · On-site

$43 - $58.75/hr

A deep understanding of the internal data domains and systems * Management and automation of ... Identifying and addressing operational improvements, including elimination of manual processes ...

TheRIIM LLC

DevOps Engineer

Richmond, TX · On-site

$43 - $58.75/hr

A deep understanding of the internal data domains and systems * Management and automation of ... Identifying and addressing operational improvements, including elimination of manual processes ...

Kforce Technology Staffing

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Databricks, Unity Catalog, PySpark, SQL, DBT, Delta Lake, Lakeflow/DLT, Power BI, Azure DevOps, ... and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will ...

Kforce Technology Staffing

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Databricks, Unity Catalog, PySpark, SQL, DBT, Delta Lake, Lakeflow/DLT, Power BI, Azure DevOps, Git ... and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will ...

BakerHostetler

Data Solutions Engineer

Houston, TX

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... 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 ...

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Showing results 21-40

All JobsData Devops JobsData Devops Jobs in Houston, TX

Data Devops information

See Houston, TX salary details

$15

$57

$82

How much do data devops jobs pay per hour?

As of Aug 17, 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 vary based on experience, location, and certifications, but they tend to be higher than average IT or software development positions.

What are popular job titles related to Data Devops jobs in Houston, TX?

For Data Devops jobs in Houston, TX, the most frequently searched job titles are:

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:

Data Devops jobs near you
Infographic showing various Data Devops job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 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 $120,239 per year, or $57.8 per hour.

Data Engineer III

EVOLUTION WELL SERVICES OPERATING L

The Woodlands, TX • On-site

$104K - $125K/yr

Full-time

Re-posted 19 days ago

Job description

Data Engineer
Job Description
Department: Data Technology
Job Status: Full Time
FLSA Status: Salary Exempt
Reports To: Data Engineering Supervisor
Location: The Woodlands, TX
Amount of Travel Required: 5-10%
Work Schedule: Monday-Friday, 8 a.m.-5 p.m.
Positions Supervised: None
AIP Level: 7
POSITION SUMMARY: As a Data Engineer at Beusa, you will own the performance, reliability, and cost-efficiency of our Databricks environment. You'll design and optimize Delta tables, pipelines, and SQL Warehouse workloads so teams get fast, trustworthy data at the lowest reasonable cost. You will collaborate with cross-functional teams to translate requirements into high-performing, production-grade datasets and dashboards with clear SLAs.
ESSENTIAL FUNCTIONS: (The following duties and responsibilities are all essential job functions, as defined by the ADA, except for those that begin with the word "may.")
  • Build and operate Lakehouse pipelines on Databricks (Bronze/Silver/Gold) using Delta Lake, Delta Live Tables (DLT), and/or Jobs.
  • Own ingestion patterns (Autoloader, CDC, streaming) optimization
  • Own data modeling, quality checks, and performance optimization.
  • Own performance optimization - profile and tune Spark/SQL workloads: partitioning, clustering, constraints, liquid clustering (if applicable), manage table health.
  • Engineer Delta tables for speed and cost: partitioning, Z-Ordering or clustering, constraints, file sizing; manage table health with Auto Optimize, OPTIMIZE, and VACUUM.
  • Implement incremental processing patterns (MERGE with Change Data Feed, APPLY CHANGES INTO) with idempotency and exactly-once delivery.
  • Partner with data consumers to deliver reliable, well-documented datasets with clear SLAs.
  • Design, build, and implement interactive dashboards and reports using Power BI and other visualization tools.
  • Collaborate with business units (Operations, Field Engineers, Assets) to gather requirements and translate them into technical solutions.
  • Develop and maintain data models, ensuring data quality and integrity.
  • Integrate data from multiple sources, including real-time field equipment and sensors.
  • Continuously evaluate and adopt new data management and analytics technologies.
  • Educate and support stakeholders on data tools and best practices.
  • Advocate for Beusa's digital transformation and data-driven decision-making.
  • Engage with technology vendors and partners as needed.
  • Occasional travel to meet with stakeholders.
  • Performs other related duties as assigned to assist with successful operations and business continuity.

POSITION REQUIREMENTS:
  • Successfully passes background check, pre-employment drug screening, an any pre-employment aptitude and/or competency assessment(s).
  • Valid U.S. driver's license and ability to pass a background check.

EDUCATION/EXPERIENCE LEVEL:
  • Bachelor's degree in MIS, Computer Science, Engineering, IT, or related field.
  • 7-10+ years of experience in a data-focused role (Business Intelligence, Data Analysis, Data Management, etc.).

QUALIFICATIONS, SKILLS, COMPETENCIES, AND ABILITIES
  • 8+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering.
  • 3+ years of hands-on experience with Databricks and the Lakehouse Platform.
  • Expert-level proficiency with PySpark, Spark SQL, and distributed data processing concepts.
  • Advanced SQL development skills with experience in relational database platforms (Microsoft SQL Server preferred).
  • Experience designing and implementing Databricks Medallion Architectures (Bronze, Silver, Gold).
  • Experience building and optimizing batch and streaming data pipelines.
  • Experience designing, implementing, and maintaining CI/CD deployment strategies for data platforms.
  • Experience defining and implementing testing frameworks, including Unit Testing, Data Quality Testing, Schema Validation, Integration Testing, and Regression Testing.
  • Experience troubleshooting and optimizing Spark workloads for performance, scalability, reliability, and cost efficiency.
  • Experience implementing data governance, security, and access control frameworks, including Unity Catalog or similar technologies.
  • Experience with source control and DevOps practices using Git, Azure DevOps, or similar tools.
  • Experience mentoring junior engineers and providing technical leadership across projects.
  • Proven ability to work across multiple teams and stakeholders to deliver enterprise data solutions.

PHYSCIAL REQUIREMENTS/WORK ENVIRONMENT:
The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Frequently required to walk, sit, climb, bend, reach and squat/kneel. The Business Intelligence Developer works primarily indoors and will be sitting prolonged periods of sitting at a desk and working on a computer. Must be able to access and navigate each department at the organization's facilities. The Business Intelligence Developer may be required to lift heavy objects; therefore, The Business Intelligence Developer must be able to lift 25lbs.
Work hours may include early morning, late afternoon/evening hours, and weekends in combination depending on job demands.
The Company is committed to the cause of equal employment opportunity for all employees and applicants, thus abiding by all applicable state and federal laws. Our practices regarding employment, job promotion, compensation, training, and termination do not discriminate on the basis of race, color, religious creed, age, sex, national origin, veteran's status, disability, pregnancy, genetic information, or any other legally protected status. It is expected that all employees, both management and staff, will fully support these nondiscriminatory policies.
The company has reviewed this job description to ensure essential functions and duties have been included. It is not intended to be an exhaustive list of all functions, responsibilities, skills, and abilities.
Revised: 06/2026

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