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Dataops Engineer Jobs in Texas (NOW HIRING)

Perfict

Mid-Senior DataOps Engineer

Frisco, TX · On-site

$98K - $135K/yr

We are seeking a highly skilled and experienced Senior Data Ops Engineer to join our Regulatory Reporting Platform Team, responsible for designing, implementing, and managing process automation and ...

Orion180 Insurance Co.

Sr. Data Engineer

Irving, TX · On-site

$101K - $138K/yr

DataOps & Automation * Establish robust CI/CD deployment pipelines for all data assets using Azure DevOps, ensuring automated testing, validation, and infrastructure-as-code. * Collaborate with data ...

Orion180

Sr. Data Engineer

Irving, TX · On-site

$109K - $132K/yr

DataOps & Automation * Establish robust CI/CD deployment pipelines for all data assets using Azure DevOps, ensuring automated testing, validation, and infrastructure-as-code. * Collaborate with data ...

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 ...

RXinsider LTD.

Senior Data Ops Developer

Austin, TX · On-site

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In this role, you will design and maintain cloud-based data pipelines, automate data processes, and ...

Epicor

Senior Data Ops Developer

Austin, TX · Hybrid

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In this role, you will design and maintain cloud-based data pipelines, automate data processes, 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 ...

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 ...

Patterson-UTI

Data Ops Lead NEX

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 ...

Northern Base

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

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

Patterson-UTI

Data Ops Lead NEX

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 ...

GC-Squared Resources, LLC

Data Ops Lead

Houston, TX · On-site

Required : • 7+ years experience in Data Engineering, DataOps, or Data Platform Operations • 3+ years experience operating cloud-based data platforms in production • Strong hands-on experience ...

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 ...

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How much do dataops engineer jobs pay per hour?

As of Sep 11, 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 is a DataOps engineer?

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 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 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 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?

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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 August 2026, with employment types broken down into 90% Full Time, 4% Part Time, 5% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $116,159 per year, or $55.8 per hour.

Mid-Senior DataOps Engineer

Frisco, TX • On-site

Perfict
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Perfictexternal

$98K - $135K/yr

Full-time

Re-posted 18 hours ago

Job description

Job Summary:
Perfict Global is a leading IT consulting services provider focused on providing innovative business workforce solutions to Fortune 500 companies. We are seeking a highly skilled and experienced Senior Data Ops Engineer to join our Regulatory Reporting Platform Team, responsible for designing, implementing, and managing process automation and data workflows that support our Regulatory reports.
Responsibilities:
• Develop and improve automation scripts and processes to enhance process and data quality and reduce delivery cycle time.
• Create and maintain optimized data pipelines for data ingestion, processing, and storage.
• Ensure data quality, integrity, and security across all data workflows.
• Work closely with data & reporting application engineers, analysts, and other stakeholders to understand data/process requirements and deliver solutions.
• Monitor data workflows and troubleshoot process issues, providing recommendations with identified benefits & risks.
• Maintain comprehensive documentation of data workflows, processes, and infrastructure in the Platform Knowledge Base in Confluence.
• Availability to provide the off-hours support, coordinate with the data and app teams to lead the production and non-production deployment and validation efforts.
Qualifications:
Required:
• Data Engineering (5+ years): Extensive experience in building and managing data pipelines using tools like Apache Spark, Hadoop, or similar.
• Cloud Infrastructure (3+ years): Proficiency in the AWS cloud platform.
• Automation (3+ years): Strong experience with automation tools and scripting languages (e.g., Python, Bash).
• Database Management (5+ years): Expertise in SQL and NoSQL databases. Specifically, Snowflake and RDS.
• ETL/ELT Processes (5+ years): Experience in designing and implementing ETL/ELT processes.
• Informatica Intelligent Cloud Services (IICS) (5+ years): Hands-on experience with IICS for data integration and management.
• Data Security (3+ years): Knowledge of data security best practices and tools. Experience in auditing process, end-to-end evidence producing and review discussions.
• Monitoring (3+ years): Experience in Batch scheduling (CA7, Airflow, IICS scheduler, event based, time based), monitoring tools.
• Bachelor's Degree: In Computer Science, Engineering, or a related field or GED and 10 years of Technology experience.
• Problem-Solving: Strong analytical and problem-solving skills.
• Communication: Excellent verbal, written communication, and presentation skills, interact with all levels of technology and business teams.
• Team Player: Ability to work collaboratively in a team environment.
• Adaptability: Ability to adapt to new technologies and methodologies.
Preferred:
• Regulatory Reporting: 3 years of working experience on the Adenza AxiomSL Regulatory Reporting Tool.
• DevOps: Experience with DevOps practices and tools.
• CI/CD Pipelines: Experience in setting up and managing CI/CD pipelines and working with source code management tools (GitHub, Bitbucket).
• Process Improvement: Experience implementing scheduler and deployment automation solutions.
• Data Visualization: Skills in data visualization tools like Tableau or Power BI.
• Agile: Working experience in SAFe Agile Scrum (and Kanban) methodology.
• Certifications: Relevant certifications in cloud platforms, data engineering, or DevOps are a plus.
Company:
Perfict Global is an IT consulting services provider, focused on providing innovative and successful business workforce solutions. Founded in 2011, the company is headquartered in Concord, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Perfict

Sourced by ZipRecruiter

We are a technology company focused on providing innovative and successful business workforce solutions. Since 2011, Perfict has partnered with the biggest names across sectors offering a customized approach to each solution. We’ve established networks of genuine relationships that allow us to source the highest-quality talent and execute deals and hires quickly. With locations in US and India, we work globally to help you build your organization. Our methodology begins with listening to you about your needs. We work with your team to gain a clear understanding of your requirements, while providing a knowledge transfer of best practices.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Walnut Creek, CA, US

Year founded

2011

Social media

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