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Dataops Engineer Jobs in Texas (NOW HIRING)

The Mutual Group

Lead IT Project Manager

Dallas, TX · Hybrid

$140K - $170K/yr

Improve delivery practices: promote test automation, DevOps/CI/CD, DataOps/ML Ops, and data-driven insights (burn-down, cycle time, predictive risk); leverage AI-assisted PM tooling where valuable.

Revance

Executive Director, Data & AI

Dallas, TX · On-site

Track record of building and scaling high-performing teams (data engineering, data science ... Operational Excellence (DataOps/MLOps) - Orchestrated world-class DataOps and MLOps practices ...

Revance

Executive Director, Data & AI

Dallas, TX · Remote

Track record of building and scaling high-performing teams (data engineering, data science ... Operational Excellence (DataOps/MLOps) - Orchestrated world-class DataOps and MLOps practices ...

S3b Global Inc

Data Modeler

Dallas, TX · On-site

$54.25 - $70.25/hr

... DevOps and DataOps concepts. · Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data like IRI, Nielsen Retail.

Owens & Minor

Senior Manager, Data Engineering

Dallas, TX · On-site +1

$140K - $155K/yr

... engineers and BI developers -Establishdelivery standards, performance expectations, and career ... DataOps and platform governance practices to improve reliability, observability, and delivery ...

Anblicks

Delivery Manager

Dallas, TX

Establish engineering best practices, reusable frameworks, accelerators, automation patterns, and ... CI/CD and DataOps practices * API and integration patterns * Experience with AI/ML enablement ...

Cotality

Senior Data Governance Professional

Dallas, TX · Hybrid

$104K - $142K/yr

Roll out and integrate governance processes with enterprise workflows, including MLOps, DataOps ... engineering/data science) and non-technical (legal/business) teams. * Strong verbal and written ...

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How much do dataops engineer jobs pay per hour?

As of Jun 9, 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 does a DataOps engineer do?

A DataOps engineer is responsible for managing and automating data pipelines, ensuring efficient data flow from collection to analysis. They use tools like automation scripts, cloud platforms, and data management frameworks to improve data quality, reliability, and deployment speed in data-driven environments.

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:
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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
Data Practice Architect/Data Solution Lead

Data Practice Architect/Data Solution Lead

Hitachi, Ltd.

Dallas, TX • On-site

Full-time

Posted 19 days ago

Job description

Function
Cloud & Data Engineering
Our Company
We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what's now to what's next. We make it happen through the power of acceleration.
Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.
Job description
Role Overview
We are seeking a highly experienced and strategic Data Solution Lead to drive growth across the North America region through innovative enterprise data and AI solutions. This role requires a strong blend of technology leadership, solution architecture, business development, and stakeholder management expertise.
Key Responsibilities
Strategic Leadership & Growth
  • Contribute to the growth and expansion of the Data & AI practice across multiple client accounts in the USA region.
  • Partner with sales, account teams, and business units to identify opportunities and build differentiated Data/AI solutions.
  • Act as a trusted advisor to enterprise customers on modern data platform transformation initiatives.

Solution Architecture & Delivery
  • Design and architect end-to-end AI-powered enterprise data platforms on cloud hyperscalers such as AWS, Azure and GCP
  • Lead enterprise solutioning efforts for large-scale data modernization, analytics, and AI transformation programs.
  • Build thought leadership solutions leveraging technologies such as Snowflake, Databricks and Fabric
  • Define scalable architectures covering Data pipelines/ETLs, Data Governance, Security & Compliance, AIT integration across the data lifecycle.
  • Drive adoption of modern engineering practices including DataOps, MLOps, LLMOps and AIOps.

Presales & Innovation
  • Lead proactive and reactive RFP/RFI responses as a Data & AI leader.
  • Collaborate with internal teams to create industry-specific and cross-platform solutions, including SAP-integrated data platforms.

Stakeholder & Team Collaboration
  • Influence both internal and external stakeholders through strong domain expertise and market understanding in the Data/AI ecosystem.
  • Work closely with cross-functional teams, delivery leaders, and business units to drive solution alignment and execution.
  • Conduct client workshops, architecture reviews, and executive presentations as needed.

Required Skills & Experience
Tech Skills:
  • Practice Architect to contribute to the growth in USA region across multiple accounts
  • Experience in selling and building large enterprise data platform
  • Experience solutioning end-end to AI powered Data Platform in any of the hyper-scalars (GCP, Azure or AWS)
  • Responsible to lead proactive and reactive Data/AI RFPs/RFIs as a data leader
  • Thought leadership building solutions on Snowflake, Databricks and Fabric
  • Excellent understanding of new age Data pipeline (ETLs), Data Governance and Security, Infusion of AI across Data Life Cycle
  • Good understanding of DataOps, MLOps, LLMOps and AI Ops
  • Experience building fit for purpose - PoCs, Data Accelerators and Frameworks
  • Knowledge of Automative, BFSI, Energy domain preferred
  • Recent certification in TOGAF, DAMA preferred

Management skills:
  • Ability to influence external and internal stakeholders with state of the solutions in Data/AI space
  • Strong articulation and concise communication skills
  • Highly collaborative with internal leads and cross-BU teams to build joint solutions (eg: SAP based Data platforms)
  • Willing to travel on a need basis for client workshops

Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
  • 12+ years of experience in Data Engineering, Analytics, AI, or Enterprise Architecture roles.
  • Proven track record in enterprise consulting, solution architecture, and presales leadership.

#LI-MS2
About us
We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.
Fostering innovation through diverse perspectives
Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.
We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.
How we look after you
We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.
We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
Hitachi Vantara logo

About Hitachi Vantara

Sourced by ZipRecruiter

Hitachi Rail is a fully integrated, global provider of rail solutions across rolling stock, signaling, service & maintenance, digital technology and turnkey. With a presence in 38 countries across three continents and over 13,000 employees, our mission is to contribute to society through the continuous development of superior rail transport solutions.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

2017

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