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Dataops Engineer Jobs in Texas (NOW HIRING)

Judge Group, Inc.

Senior Data Engineer

Dallas, TX · On-site

$120K - $130K/yr

Senior Data Engineer About the Role We are seeking a Senior Data Engineer to design, build, and ... Apply DataOps, CI/CD, governance, security, and operational best practices across the data ...

New

1 point system

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

DataOps & Automation: Own the deployment lifecycle using Databricks Asset Bundles (DABs) and CI/CD ... Azure DevOps) to ensure reproducible environments. * Performance Tuning: Optimize streaming ...

Tata Consultancy Services

Data Engineer Lead

Plano, TX · On-site

$98K - $130K/yr

... DataOps practices. Qualifications : Required : • Snowflake • DBT • Design and build data ... engineering delivery • Ability to balance hands-on work with team leadership • Gather and ...

ClifyX

Data Engineer Lead

Plano, TX · On-site

$98K - $130K/yr

... DataOps practices. Qualifications : Required : • Snowflake • DBT • Design and build data ... engineering delivery • Ability to balance hands-on work with team leadership • Gather and ...

NAVA Software Solutions

Sr Data Developer

Houston, TX · On-site

Senior Data Developer Location: Houston TX - 2 days/week hybrid Type: Full time/Direct Hire As the ... Leverage tools for DataOps (CI/CD) Requirements * Bachelor's degree in Computer Science, Data ...

Patterson-UTI

Data Ops Lead

Houston, TX · On-site

We are seeking a DataOps Lead to own and advance the operational reliability, quality, and scalability of our cloud-based data platforms . This role sits at the intersection of data engineering ...

Patterson-UTI

Data Ops Lead

Houston, TX

We are seeking a DataOps Lead to own and advance the operational reliability, quality, and scalability of our cloud-based data platforms . This role sits at the intersection of data engineering ...

Tata Consultancy Service Limited

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

... DataOps and CI/CD practices for data engineering solutions. • Ensure compliance with security, governance, and data management standards. Cloud Technologies • AWS (Preferred) • S3 • Lambda ...

Tata Consultancy Service Limited

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

... DataOps and CI/CD practices for data engineering solutions. • Leverage Snowflake CoCo capabilities to accelerate data engineering activities. • Ensure compliance with security, governance, and ...

Scalepex

Healthcare Data Analyst

Dallas, TX · On-site +1

This role sits within a DataOps team responsible for ensuring data pipelines are accurate, reliable, and delivered on time. You'll work closely with teammates, engineering partners, and operational ...

Scalepex

Healthcare Data Analyst

Dallas, TX

This role sits within a DataOps team responsible for ensuring data pipelines are accurate, reliable, and delivered on time. You'll work closely with teammates, engineering partners, and operational ...

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How much do dataops engineer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for dataops engineer in Texas is $55.85, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $61.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Dataops Engineer position, and why are they important?

To thrive as a Dataops Engineer, you need a strong background in data engineering, automation, CI/CD practices, and cloud platforms, typically supported by a degree in computer science or a related field. Familiarity with tools like Jenkins, Docker, Kubernetes, Terraform, and major cloud providers (AWS, Azure, GCP) as well as relevant certifications significantly enhances effectiveness in this role. Strong problem-solving skills, collaboration, and clear communication are essential soft skills for working across teams and addressing fast-changing data needs. These combined abilities ensure smooth data pipeline operations, minimize downtime, and enable efficient, reliable delivery of data-driven solutions.

What are the common day-to-day responsibilities of a Dataops Engineer?

A Dataops Engineer is typically responsible for designing, deploying, and maintaining automated data pipelines that support business analytics and operations. Daily tasks often include monitoring data workflows, troubleshooting pipeline issues, optimizing system performance, and collaborating with data scientists, analysts, and DevOps teams to ensure seamless data delivery. You may also be involved in implementing data quality checks, managing cloud resources, and improving deployment processes. This role is dynamic and fast-paced, requiring both technical expertise and effective cross-team communication. Working as a Dataops Engineer provides the opportunity to work on cutting-edge projects and directly influence data-driven decision-making across the organization.

What is a DataOps Engineer job?

A DataOps Engineer is responsible for streamlining and automating data workflows, ensuring data quality, and enabling efficient data integration across platforms. They work closely with data scientists, analysts, and engineers to implement CI/CD pipelines, manage data infrastructure, and optimize data delivery processes. Their role involves leveraging tools for orchestration, monitoring, and version control to enhance collaboration and reliability in data operations.

What are the most commonly searched types of Dataops Engineer jobs in Texas? The most popular types of Dataops Engineer jobs in Texas are:
What are popular job titles related to Dataops Engineer jobs in Texas? For Dataops Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Dataops Engineer jobs in Texas look for? The top searched job categories for Dataops Engineer jobs in Texas are:
What cities in Texas are hiring for Dataops Engineer jobs? Cities in Texas with the most Dataops Engineer job openings:
Dataops Engineer jobs near you
Infographic showing various Dataops Engineer job openings in Texas as of July 2026, with employment types broken down into 14% Internship, 8% As Needed, 46% Full Time, 3% Part Time, 2% Contract, and 27% Nights. Highlights an 60% Physical, 11% Hybrid, and 29% Remote job distribution, with an average salary of $116,159 per year, or $55.8 per hour.
Senior Data Engineer

Senior Data Engineer

Judge Group, Inc.

Dallas, TX • On-site

$120K - $130K/yr

Other

Posted yesterday

Job description

Location: Dallas, TX Salary: $120,000.00 USD Annually - $130,000.00 USD Annually Description: Please send resumes to You must be able to accept w2 employment without sponsorship now or in the future and be able to attend an onsite interview in Dallas and live locally to Dallas for a hybrid position.
Senior Data Engineer
About the Role
We are seeking a Senior Data Engineer to design, build, and scale modern data platforms that enable analytics, data products, and AI initiatives across the enterprise. In this role, you will develop robust data ingestion and transformation frameworks, optimize data pipelines, and deliver trusted, high-quality datasets that support business decision-making and innovation.
The ideal candidate has strong experience in cloud-based data engineering, data warehousing, and large-scale ETL/ELT development, along with expertise in Snowflake, Fivetran, dbt, AWS Glue, Python, and SQL.
Responsibilities
  • Design, develop, and maintain scalable data pipelines and data models within Snowflake.
  • Build and manage data ingestion frameworks using Fivetran and other cloud-native integration technologies.
  • Develop and optimize ETL/ELT workflows using dbt, AWS Glue, Python, and PySpark.
  • Architect and support data lake and data warehouse solutions on AWS and Snowflake.
  • Perform source-to-target mapping and support enterprise data migration and modernization initiatives.
  • Implement data quality, validation, reconciliation, and monitoring processes to ensure data reliability and accuracy.
  • Develop reusable frameworks, automation capabilities, and standardized pipeline patterns to improve engineering efficiency.
  • Partner with architects, analytics teams, and business stakeholders to deliver scalable and trusted data products.
  • Prepare, transform, and manage datasets that support advanced analytics, machine learning, and generative AI use cases.
  • Apply DataOps, CI/CD, governance, security, and operational best practices across the data ecosystem.
  • Troubleshoot performance issues and continuously improve the scalability, reliability, and maintainability of data solutions.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience.
  • 7 to 10 years of experience in Data Engineering, Data Integration, or related disciplines.
  • Experience designing and developing enterprise-scale data pipelines and ETL/ELT solutions.
  • Hands-on experience with:
    • Snowflake
    • Fivetran
    • dbt
    • AWS Glue
    • Python
    • SQL
    • PySpark
  • Experience with data warehousing, dimensional modeling, and data lake architectures.
  • Experience implementing data quality, monitoring, and validation frameworks.
  • Strong understanding of software engineering best practices, version control, and CI/CD methodologies.
Preferred Qualifications
  • Experience supporting machine learning, AI, or generative AI data pipelines.
  • Experience with DataOps practices and automated data platform operations.
  • Knowledge of infrastructure automation and cloud-native architecture patterns.
  • Experience optimizing large-scale data processing workloads and query performance.
  • Ability to influence technical direction and collaborate effectively across engineering, analytics, and business teams.
  • Strong problem-solving, communication, and stakeholder management skills.
Technical Expertise
Data Engineering & Analytics
  • Data Warehousing
  • Data Lake Architecture
  • ETL/ELT Development
  • Source-to-Target Mapping
  • Data Quality Frameworks
  • Pipeline Automation
  • Performance Optimization
Cloud & Data Platforms
  • Snowflake
  • Fivetran
  • dbt
  • AWS Glue
  • Python
  • SQL
  • PySpark
DevOps & DataOps
  • Git
  • CI/CD Pipelines
  • Agile Delivery
  • Infrastructure Automation
  • DataOps Best Practices

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This job and many more are available through The Judge Group. Please apply with us today!

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