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Dataops Engineer Jobs in Texas (NOW HIRING)

Scalepex

Healthcare Data Analyst

Dallas, TX · On-site +1

This role sits within a DataOps team responsible for ensuring data pipelines are accurate, reliable, and delivered on time. You'll work closely with teammates, engineering partners, and operational ...

Scalepex

Healthcare Data Analyst

Dallas, TX · On-site

This role sits within a DataOps team responsible for ensuring data pipelines are accurate, reliable, and delivered on time. You'll work closely with teammates, engineering partners, and operational ...

McLane Company

Data Engineer II

Temple, TX · Hybrid

$92K - $111K/yr

We're looking for a skilled Data Engineer II to design, build, and optimize scalable data solutions ... Support DataOps practices, including CI/CD pipelines, orchestration, and infrastructure automation.

PROLIM Global Corporation

Lead Data Engineer

Plano, TX · On-site

$98K - $129K/yr

... management, DevOps, DataOps, marketing analytics, and business operations to define and execute a robust data product backlog and technical roadmap. • Ensure scalability, performance, and ...

Plugins Inc

Technical Project Manager

Dallas, TX · On-site

Partner with Data Engineers and Data Scientists * Support architecture reviews and data pipeline ... DataOps * MLOps Domain Knowledge :Passenger Operations * Revenue Management * Fleet Analytics

Plugins Inc

Technical Project Manager

Dallas, TX · On-site

Partner with Data Engineers and Data Scientists * Support architecture reviews and data pipeline ... Kafka • Amazon Kinesis • Tableau • Amazon QuickSight • Microsoft Power BI • DataOps • ...

Dlapiper

Data Engineer

Dallas, TX · On-site

$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 ...

Dlapiper

Data Engineer

Austin, TX · On-site

$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 ...

Dlapiper

Data Engineer

Dallas, TX · Hybrid

$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 ...

Dlapiper

Data Engineer

Houston, TX · Hybrid

$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 ...

Dlapiper

Data Engineer

Austin, TX · Hybrid

$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 ...

General Motors

Staff Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

Help evolve team culture, practices, and tooling around DevOps, DataOps, and MLOps, including CI/CD for data pipelines, testing strategies, observability, governance, and reliability. * Communicate ...

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How much do dataops engineer jobs pay per hour?

As of Sep 12, 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?

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What job categories do people searching Dataops Engineer jobs in Texas look for?

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What cities in Texas are hiring for Dataops Engineer jobs?

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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.

Healthcare Data Analyst

Dallas, TX • On-site, Remote

Scalepex
See more jobs at Scalepexexternal

Full-time

Re-posted 16 days ago

Job description

About the Role
The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps team responsible for ensuring data pipelines are accurate, reliable, and delivered on time.
You'll work closely with teammates, engineering partners, and operational stakeholders to troubleshoot issues, support EDI workflows, and continuously improve data processes. The ideal candidate combines strong technical attention to detail with an understanding of how data operations support client satisfaction and broader business outcomes.
What You'll Do
  • Maintain a strong understanding of data and task workflows across operational departments.
  • Communicate the status of ongoing tasks and issues to end users, team leads, and DataOps leadership.
  • Analyze and troubleshoot insurance claims, eligibility, and import/export file mappings.
  • Identify and resolve issues related to enrollment and enrollment changes within EDI files, partnering with engineering teams as needed.
  • Coordinate ongoing EDI testing, implementations, and upgrades.
  • Troubleshoot and report operational errors, including file movement and SFTP connection issues.
  • Compare data files and reports against documented business requirements to ensure data quality and identify gaps.
  • Support continuous improvement of data workflows, documentation, and operational processes.
  • Perform additional duties as assigned by the Team Lead or DataOps Manager.

Requirements
What You Bring
  • 4+ years of experience in system analysis, data analysis, and/or process improvement.
  • 2+ years of experience in the healthcare industry; TPA experience preferred.
  • Associate or Bachelor's degree preferred, but not required.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Intermediate to advanced proficiency in Microsoft Office (Excel, Outlook, Word).
  • Familiarity with flat file data structures such as CSV or pipe-delimited files.
  • Experience using data analysis tools such as Excel, SQL, Tableau, Power BI, or similar tools.
  • Proven ability to analyze data, review requirements, and deliver insights that support business decisions.
  • Strong collaboration and communication skills across technical and non-technical teams.
  • Knowledge or experience with ANSI 5010 transactions (837, 835, 834, 270/271) preferred.

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