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Senior Dataops Engineer Jobs in Dallas, TX (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 ...

Orion180

Sr. Data Engineer

Irving, TX · On-site

$109K - $132K/yr

We are actively recruiting for a Sr. Data Engineer to join our growing team! We believe analytics ... DataOps & Automation * Establish robust CI/CD deployment pipelines for all data assets using Azure ...

Bright Vision Technologies

Senior Data Engineer

Coppell, TX · Remote

$155K - $175K/yr

Senior Data Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range ... DataOps best practices within enterprise cloud and Agile development environments. How to Apply ...

US Bank

Sr. Data Engineering Architect

Irving, TX

$64.50 - $86.50/hr

S. Bank is seeking a Senior Data Engineering Architect to lead a small team of Data Architects ... Establish reusable frameworks, architecture patterns, and DataOps standards * Ensure solutions meet ...

Huntington

MLOps Automation Senior Lead Engineer

Dallas, TX · On-site +1

$102K - $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

US Bank

Data Engineering Architect

Irving, TX · On-site

$61.25 - $78.75/hr

Reporting to the Senior Data Engineering Architect, this role will help establish architecture ... Support DataOps capabilities including observability, data quality, lineage, and operational ...

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 ...

BravoTech

Data Management Manager

Dallas, TX · On-site

Familiarity with DevOps and DataOps practices. Cloud or data platform certifications. Why Join ... Collaborate with senior leadership and cross-functional teams. Apply Today! If you have a passion ...

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All JobsDataops Engineer JobsSenior Dataops Engineer JobsSenior Dataops Engineer Jobs in Dallas, TX

Senior Dataops Engineer information

See Dallas, TX salary details

$58.9K

$125.2K

$181.5K

How much do senior dataops engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for senior dataops engineer in Dallas, TX is $125,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $142,000.00 per year, depending on experience, location, and employer.

What are some common challenges a Senior DataOps Engineer faces when scaling data infrastructure for a growing organization?

A Senior DataOps Engineer often encounters challenges such as ensuring data pipeline reliability during rapid scaling, managing increasing data volume and complexity, and maintaining high data quality across distributed environments. Balancing automation with flexibility, integrating new tools with legacy systems, and coordinating with cross-functional teams (like data scientists and DevOps) are also key hurdles. Success in this role requires proactively identifying bottlenecks, optimizing workflows, and fostering a culture of collaboration to support evolving business needs.

What are the key skills and qualifications needed to thrive as a Senior DataOps Engineer, and why are they important?

To thrive as a Senior DataOps Engineer, you need a solid background in data engineering, automation, CI/CD pipelines, and strong knowledge of data architecture, usually supported by a degree in computer science or a related field. Expertise in tools like Apache Airflow, Kubernetes, Docker, cloud platforms (AWS, Azure, or GCP), and proficiency with scripting languages such as Python or Bash are typically required, along with certifications like AWS Certified Solutions Architect or Google Cloud Data Engineer. Outstanding problem-solving skills, collaboration, and effective communication are essential soft skills for integrating diverse teams and managing complex workflows. These capabilities ensure data reliability, streamlined operations, and scalable solutions in dynamic data-driven environments.

What is the difference between Senior Dataops Engineer vs Data Engineer?

AspectSenior Dataops EngineerData Engineer
CredentialsTypically requires experience with cloud platforms, scripting, and data pipeline toolsRequires knowledge of database systems, SQL, and data modeling
Work EnvironmentFocuses on deployment, automation, and maintaining data infrastructureDesigns and builds data pipelines and storage solutions
Industry UsageCommon in organizations emphasizing data operations and automationWidespread across industries for data storage and processing

The main difference is that Senior Dataops Engineers focus on managing and automating data workflows and infrastructure, while Data Engineers primarily design and build data pipelines and storage systems. Both roles require strong technical skills, but their focus areas differ within the data ecosystem.

What are Senior DataOps Engineers?

Senior DataOps Engineers are experienced professionals who design, implement, and manage data pipelines and workflows to ensure reliable, efficient, and scalable data operations within an organization. They bridge the gap between data engineering, DevOps, and analytics by automating data integration, deployment, and monitoring processes. Their role often includes optimizing data infrastructure, ensuring data quality, and enabling data teams to quickly deliver insights. Senior DataOps Engineers also mentor junior team members and help define best practices for data operations.
What are the most commonly searched types of Dataops Engineer jobs in Dallas, TX? The most popular types of Dataops Engineer jobs in Dallas, TX are:
What are popular job titles related to Senior Dataops Engineer jobs in Dallas, TX? For Senior Dataops Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Senior Dataops Engineer jobs in Dallas, TX look for? The top searched job categories for Senior Dataops Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Senior Dataops Engineer jobs? Cities near Dallas, TX with the most Senior Dataops Engineer job openings:
Senior Dataops Engineer jobs near you

Senior Data Engineer

Judge Group, Inc.

Dallas, TX • On-site

$120K - $130K/yr

Other

Posted 6 days ago

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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