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Data Ops Manager Jobs in Texas (NOW HIRING)

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Store Manager in Training

Lubbock, TX · On-site

$16.75 - $20/hr

Perform as Manager-on-Duty during scheduled shifts when Store Ops Manager (GM) is not present ... If you would like more information about how your data is processed, please contact us.

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Store Manager in Training

Dallas, TX · On-site

$19.25 - $23/hr

Perform as Manager-on-Duty during scheduled shifts when Store Ops Manager (GM) is not present ... If you would like more information about how your data is processed, please contact us. apply for ...

Service Experts LLC

Principal Architect

Richardson, TX · On-site

$140 - $190/hr

Data Operations & Reliability • Own the Data Ops operating model including incident management, change governance, release coordination, and production support. • Establish severity-based support ...

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Store Manager in Training

Lubbock, TX · On-site

$16.75 - $20/hr

Perform as Manager-on-Duty during scheduled shifts when Store Ops Manager (GM) is not present ... If you would like more information about how your data is processed, please contact us. apply for ...

Insomnia Cookies

Store Manager in Training

Dallas, TX · On-site

$19.25 - $23/hr

Perform as Manager-on-Duty during scheduled shifts when Store Ops Manager (GM) is not present ... If you would like more information about how your data is processed, please contact us.

Service Experts

Principal Architect

Richardson, TX · On-site

Data Operations & Reliability • Own the Data Ops operating model including incident management, change governance, release coordination, and production support. • Establish severity-based support ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

You will contribute to Data Ops and AI intelligent data practices - including data versioning ... Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to ...

GetScale

People Operations Manager

Austin, TX · Hybrid

About GetScale At GetScale, we combine advanced technology, data-driven insights, and expert sales ... About the People Ops Manager Role We're looking for a People Operations Manager to lead our People ...

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All JobsData Ops JobsData Ops Manager JobsData Ops Manager Jobs in Texas

Data Ops Manager information

What is a Data Ops manager?

Data Ops Managers are professionals responsible for overseeing the processes, tools, and teams involved in managing and optimizing data operations within an organization. They ensure the smooth flow, quality, and accessibility of data across various platforms and departments. Their role often includes automating data pipelines, implementing data governance practices, and collaborating with data engineers, analysts, and business stakeholders to support data-driven decision making.

What are some common challenges faced by a Data Ops manager, and how can they be addressed?

Data Ops Managers often encounter challenges such as coordinating across multiple teams, ensuring data quality, and managing fast-evolving data pipelines. Success in this role requires strong communication skills to align stakeholders, robust processes for monitoring data workflows, and the ability to quickly troubleshoot issues when data delivery is disrupted. Adopting automation tools and fostering a culture of continuous improvement can help Data Ops Managers maintain reliable, scalable systems while supporting organizational data needs.

What are the key skills and qualifications needed to thrive as a Data Ops manager, and why are they important?

To excel as a Data Ops Manager, you need a deep understanding of data management, analytics workflows, and process automation, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (AWS, Azure), and orchestration systems such as Apache Airflow is typically required, along with certifications in data management or cloud services. Strong leadership, problem-solving, and communication skills help coordinate cross-functional teams and drive data initiatives. These competencies are crucial for ensuring data reliability, optimizing data pipelines, and enabling data-driven decision-making across the organization.

What is the difference between Data Ops Manager vs Data Engineer?

AspectData Ops ManagerData Engineer
Primary FocusOversees data operations, workflows, and process optimizationBuilds, constructs, and maintains data pipelines and infrastructure
Required SkillsData management, process improvement, team coordinationProgramming, database systems, ETL development
CertificationsData management, cloud certifications often preferredSQL, cloud platform certifications, programming languages
Work EnvironmentCollaborates with data teams, operations, and business unitsWorks closely with data scientists, analysts, and developers

While both roles involve working with data, the Data Ops Manager focuses on managing data workflows and operational efficiency, whereas the Data Engineer concentrates on building and maintaining data infrastructure. Understanding these differences helps in choosing the right career path or hiring the appropriate professional for your data needs.

What are popular job titles related to Data Ops Manager jobs in Texas?

For Data Ops Manager jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Ops Manager jobs in Texas look for?

The top searched job categories for Data Ops Manager jobs in Texas are:

What cities in Texas are hiring for Data Ops Manager jobs?

Cities in Texas with the most Data Ops Manager job openings:

Data Ops Manager jobs near you
Infographic showing various Data Ops Manager job openings in Texas as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Database Engineer (MongoDB, Postgres)

CGG Services (U.S.) Inc.

Houston, TX • On-site

$120 - $160/hr

Other

Posted 5 days ago

Job description

Job Details

Viridien is seeking a Database Engineer to design, maintain, and optimise database platforms that support global production systems and high‑performance computing workloads. This role focuses on managing MongoDB and relational database environments, ensuring they remain secure, scalable, and highly available. The candidate will work closely with software and infrastructure teams to improve database performance, support business‑critical applications, and drive continuous improvements across the data platform.

Key Responsibilities
  • Database Administration – Manage, maintain, and support MongoDB and relational database environments; install, configure, and administer MongoDB sharded clusters and replica sets; support PostgreSQL environments, including day‑to‑day administration, backup, and recovery.
  • Performance & Optimisation – Monitor database health, performance, and availability using tools such as Prometheus, Grafana, and MongoDB Ops Manager; analyze and optimise database performance, queries, and configurations; develop strategies to support data growth, scalability, and high‑traffic workloads.
  • Backup, Recovery & Reliability – Implement backup, restore, Point‑in‑Time Recovery (PITR), and High Availability (HA) solutions; troubleshoot database issues and ensure the reliability of production systems; support business continuity through robust operational practices.
  • Collaboration & Continuous Improvement – Work with development teams to improve database design and application performance; support testing, validation, and quality assurance activities for database changes; contribute to automation, operational improvements, and database best practices.
Required Qualifications
  • Bachelor's degree in Computer Science or a related discipline, or equivalent practical experience.
  • Proven experience administering MongoDB in production environments, including sharded clusters and replica sets.
  • Experience supporting PostgreSQL or other enterprise relational databases.
  • Experience with MongoDB Ops Manager and monitoring tools such as Prometheus and Grafana.
  • Strong knowledge of database backup, recovery, PITR, and High Availability strategies.
  • Experience troubleshooting and optimising database performance.
  • Strong analytical and problem‑solving skills.
  • Ability to work effectively in production‑critical environments.
Preferred Qualifications
  • Experience supporting globally distributed or high‑availability database platforms.
  • Experience with database automation using Bash, Python, or Golang.
  • Familiarity with Linux, Docker, Kubernetes, GitLab, or DevOps practices.
  • Knowledge of data modelling, schema design, and database optimisation techniques.
  • Experience supporting databases for microservices or distributed applications.
  • Familiarity with ANSI SQL and relational database concepts.
  • Experience contributing to quality assurance and testing of database platforms.

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