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Dataops Engineer Jobs in Texas (NOW HIRING)

Senior Data Engineer

San Antonio, TX · On-site

$96K - $130K/yr

Agile * Scrum * DevOps * DataOps Preferred Qualifications * AWS Certified Data Engineer - Associate. * AWS Certified Solutions Architect. * Databricks Certified Data Engineer Professional.

Data Modeler

Dallas, TX · On-site

$54.50 - $70.50/hr

... in Cloud, DevOps, DataOps; Data Governance, Data Quality frameworks, Data Observality and the candidate should be: * Familiar with DevOps process * Knowing how to check existing tables, data ...

Data Engineer

Houston, TX

$109K - $131K/yr

... DataOps concepts and operating in cross-functional teams that include data engineering personas. * The measures of success for this role include delivering data pipelines with trusted, quality data ...

Data Engineer

Austin, TX

$113K - $136K/yr

... DataOps concepts and operating in cross-functional teams that include data engineering personas. * The measures of success for this role include delivering data pipelines with trusted, quality data ...

Data Engineer

Dallas, TX

$113K - $136K/yr

... DataOps concepts and operating in cross-functional teams that include data engineering personas. * The measures of success for this role include delivering data pipelines with trusted, quality data ...

... DataOps principles * Utilize IT documents, charts, and drawings as tools to enhance, document, and ... Knowledge in engineering practices such as code refactoring, design patterns, design driven ...

... in Industrial DataOps . The Impact you bring to Cognite * Industrial Architecture Expertise ... Full-Stack Solution Engineering: Ability to orchestrate and build end-to-end prototypes-integrating ...

$125K - $130K/yr

... DataOps platform powered by Apache Airflow ® . Astro accelerates building reliable data products ... About this role The Astronomer Customer Reliability Engineering (CRE) team is responsible for the ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Implement DataOps practices with automated testing and deployment pipelines (CI/CD for data) Data Engineering & Analysis * Develop and maintain Python-based data processing frameworks and utilities

Senior Data Engineer

Austin, TX

$105K - $142K/yr

Implement DataOps practices with automated testing and deployment pipelines (CI/CD for data) Data Engineering & Analysis * Develop and maintain Python-based data processing frameworks and utilities

Implements MLOps, LLMOps, AgentOps, DevOps, and DataOps practices including model evaluation, prompt versioning, continuous deployment, monitoring, and lifecycle management of AI solutions * Writes ...

AI/ML Engineer - Houston, Texas Only

Houston, TX · On-site

$104K - $125K/yr

Implements MLOps, LLMOps, AgentOps, DevOps, and DataOps practices including model evaluation, prompt versioning, continuous deployment, monitoring, and lifecycle management of AI solutions * Writes ...

MLOps Automation Senior Lead Engineer

Austin, TX · On-site +1

$103K - $135K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Experience with agile development and strong understanding of DataOps and ModelOps principles

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Dataops Engineer information

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How much do dataops engineer jobs pay per hour?

As of Jul 6, 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 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:
Infographic showing various Dataops Engineer job openings in Texas as of June 2026, with employment types broken down into 5% As Needed, 38% Full Time, 3% Part Time, 30% Temporary, 1% Contract, and 23% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $116,159 per year, or $55.8 per hour.
Senior Manager/Director of Demand Generation (Remote, US-based)

Senior Manager/Director of Demand Generation (Remote, US-based)

Liquibase

Austin, TX

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

Overview

Liquibase is the leader in Database Change Governance. Trusted by many of the world's largest enterprises and downloaded more than 100 million times, Liquibase helps organizations govern database change across modern applications, data platforms, and AI-driven delivery environments.

We are building the category around governed database change and modern database delivery. That requires a different type of demand generation leader.

We are looking for a Director of Demand Generation to help scale pipeline, accelerate Community-to-commercial conversion, expand enterprise penetration, and build modern AI-assisted demand programs across new logo, customer expansion, ABM, partner, and field motions.

This is not a traditional campaign management role. We need someone who can think strategically, operate autonomously, move fast, and build programs tied directly to revenue outcomes.

What You'll Own
  • Build and scale pipeline generation programs across paid search, paid social, webinars, nurture, field, partner, and account-based marketing motions
  • Drive Community-to-commercial conversion programs that identify, engage, and convert Liquibase Community users into qualified opportunities for Liquibase Secure
  • Partner closely with Sales, RevOps, CS, and Product Marketing to build campaigns tied to pipeline, expansion, and revenue outcomes
  • Develop and execute ABM and target account plays across strategic enterprise accounts, competitive takeovers, regulated industries, and modern data platform teams
  • Build and optimize nurture programs that improve engagement, conversion, and sales velocity across the funnel
  • Use AI-assisted workflows to improve campaign execution, segmentation, personalization, research, testing, and content development
  • Own paid media performance across Google, LinkedIn, retargeting, and other digital channels
  • Partner with Product Marketing on positioning, launches, messaging, and campaign strategy
  • Analyze campaign performance, conversion rates, attribution, and pipeline contribution to make investment and optimization recommendations
  • Help scale SEO and AEO programs that improve discoverability, category authority, and inbound demand
  • Operate comfortably in a lean, fast-moving environment where speed, ownership, and initiative matter
What Success Looks Like
  • Consistent contribution to qualified pipeline and revenue growth
  • Stronger Community-to-commercial conversion
  • Increased enterprise account penetration and expansion
  • Scalable ABM and customer growth motions
  • Faster campaign execution through AI-assisted workflows
  • Improved funnel conversion and campaign efficiency
  • Strong alignment across Marketing, Sales, RevOps, and Customer Success
  • Clear reporting, accountability, and operational rigor across the funnel
The Ideal Candidate
  • Thinks like an operator, not just a marketer
  • Comfortable building in ambiguity and moving quickly
  • Strong bias toward ownership and execution
  • Understands how modern B2B revenue teams operate together
  • Data-driven but commercially minded
  • Able to simplify complex technical topics into compelling campaigns
  • Understands both developer audiences and executive buyers
  • Uses AI tools aggressively and thoughtfully to improve execution speed and quality
  • Comfortable being hands-on in a lean, fast-moving environment
Must Haves
  • 7+ years of experience in B2B demand generation or growth marketing
  • Experience driving measurable pipeline and revenue impact
  • Experience in enterprise software, infrastructure, DevOps, data, security, or developer tooling
  • Strong understanding of paid search, paid social, SEO, AEO, nurture, webinars, email, retargeting, and conversion optimization
  • Experience with converting an open source project
  • Experience building and executing ABM programs
  • Experience partnering closely with Sales and RevOps
  • Strong understanding of funnel metrics, attribution, and pipeline analysis
  • Strong written communication and messaging instincts
  • Comfortable operating both strategically and tactically
  • Highly organized, proactive, and execution-oriented
  • Comfortable using AI tools to accelerate campaign execution and research
Nice to Haves
  • Experience with HubSpot, Claude, Outreach, OnFire, Webflow, Google Analytics, Google Tag Manager, LinkedIn Campaign Manager, and Google Ads
  • Experience marketing to developer or platform engineering audiences
  • Experience in Database DevOps, DataOps, DevOps, AI infrastructure, or data platform markets
  • Experience supporting both new logo and customer expansion motions
  • Experience in a high-growth or category-creation environment

Perks of life at Liquibase:

  • Remote First culture, potential for company-wide in-person gatherings
  • Home office allowance for remote workers
  • Meaningful equity
  • Comprehensive health, vision, and dental benefits - country dependent
  • Generous paid time off and paid holidays
  • 401k match program (US only)
  • No punks, no jerks culture
  • Growth opportunities and ability to move up within the company

We take pride in:

  • A transparent and collaborative team environment. We value multiple perspectives and fresh thinking.
  • Our entrepreneurial culture. We provide every employee the opportunity to make a meaningful impact.
  • Providing the opportunity to work with new technologies and learn from experienced professionals.
  • How organizations, large and small, use DevOps to drive developer agility and accelerate software delivery.

Company Overview - We are Liquibase

A career at Liquibase means joining a quickly growing company on the front lines of the DevOps space. Our vision is to be the easiest, safest, and most powerful community-led database change management solution. As companies of all sizes continue to adopt an agile methodology and DevOps practices, there is a growing realization that the database needs to be considered as part of this innovation process.

At Liquibase, we foster a culture rooted in the open-source values of freedom, choice, transparency, and meritocracy. These are not just fashion labels here, but sincere convictions, and you'll see that reflected in the way we operate daily. We're caffeinated, collaborative & confident experts, eager to solve the most challenging database CI/CD problems for our customers.

Want to help the software world move faster? You've found the right place.

Eligible candidates may be subject to criminal history checks, which will be conducted and used in accordance with applicable local, state, and federa