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Dataops Engineer Jobs (NOW HIRING)

Trioptus

DataOps Engineer

Montpelier, VT · On-site

DataOps Engineer Job Type: Contract Duration: 12-15 months (with potential for extension) Work Location: Remote (U.S.-based) Work Hours: Standard business hours Job Overview We are seeking an ...

Trioptus

DataOps Engineer

Montpelier, VT · Remote

DataOps Engineer Job Type: Contract Duration: 12 15 months (with potential for extension) Work Location: Remote (U.S.-based) Work Hours: Standard business hours Job Overview We are seeking an ...

TriOptus LLC

DataOps Engineer

Montpelier, VT · On-site

$115.80K - $139K/yr

DataOps Engineer Job Type: Contract Duration: 12-15 months (with potential for extension) Work Location: Remote (U.S.-based) Work Hours: Standard business hours Job Overview We are seeking an ...

Trioptus

DataOps Engineer

Montpelier, VT · Remote

DataOps Engineer Job Type: Contract Duration: 12 15 months (with potential for extension) Work Location: Remote (U.S.-based) Work Hours: Standard business hours Job Overview We are seeking an ...

Booz Allen Hamilton

DataOps Engineer

Melbourne, FL · On-site

$62K - $141K/yr

DataOps Engineer The Opportunity: As a DataOps Engineer, your role will be central in enhancing data quality, streamlining data pipelines, and enabling scalable cloud-based solutions that improve the ...

Booz Allen Hamilton

DataOps Engineer

Mclean, VA · On-site

$62K - $141K/yr

DataOps Engineer The Opportunity: As a DataOps Engineer, your role will be central in enhancing data quality, streamlining data pipelines, and enabling scalable cloud-based solutions that improve the ...

Panopto

DataOps Engineer

OR · Remote

$140K - $150K/yr

As we scale our global reach, we are seeking a DataOps Engineer to architect the 'Golden Path' for our data infrastructure. You will transform how we manage the data powering Panopto for 10+ million ...

Panopto

DataOps Engineer

$140K - $150K/yr

As we scale our global reach, we are seeking a DataOps Engineer to architect the 'Golden Path' for our data infrastructure. You will transform how we manage the data powering Panopto for 10+ million ...

Scout Motors Inc.

Senior DataOps Engineer

Charlotte, NC · On-site

$102.10K - $140.20K/yr

The Senior DataOps Engineer will play a crucial role in building a secure and scalable data platform that enables real-time insights and supports AI-enabled use cases across the organization.

Guild

Senior DataOps Engineer

$94.88K - $136.10K/yr

Position Summary The Senior DataOps Engineer is responsible for executing the organization's data management and storage system strategy ensuring timely access to secure, resilient, scalable, and ...

MM International

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105.20K - $126.30K/yr

Role: DataOps Engineer Location; Hybrid work Dearborn, MI (starting September 1st, will be moving to 4 days a week onsite). Duration: 12 month contract. Additional Information: Hybrid Position ...

Scout Motors

Senior DataOps Engineer

Charlotte, NC · On-site

$119.60K - $157.70K/yr

Bachelor's degree in computer science, information technology, or related field or equivalent work experience. * 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive ...

Scout Motors

Senior DataOps Engineer

Charlotte, NC · On-site

$102.10K - $140.20K/yr

Bachelor's degree in computer science, information technology, or related field or equivalent work experience. * 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive ...

Lorven Technologies

DataOps & Build Engineer

DataOps & Build Engineer will lead the architecture and optimization of a next-generation data platform. This critical role requires expertise to drive technical direction, mentor teams, and automate ...

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How much do dataops engineer jobs pay per hour?

As of May 31, 2026, the average hourly pay for dataops engineer in the United States is $63.50, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $69.95 per hour, depending on experience, location, and employer.

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 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.
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Dataops Engineer jobs near you
DataOps Engineer

DataOps Engineer

Trioptus

Montpelier, VT • On-site

Contractor

Posted 1 hour ago

Job description

Job Title: DataOps Engineer

Job Type: Contract

Duration: 12–15 months (with potential for extension)

Work Location: Remote (U.S.-based)

Work Hours: Standard business hours

Job Overview

We are seeking an experienced DataOps Engineer to support a large‑scale healthcare data modernization initiative. This role focuses on building and operationalizing modern data quality, governance, analytics, and performance monitoring capabilities within an enterprise data environment.

The ideal candidate will combine strong technical expertise with the ability to collaborate closely with internal teams through hands‑on delivery, documentation, and knowledge transfer. The engagement emphasizes long‑term sustainability, staff enablement, and repeatable best practices rather than one‑time development.

Key Responsibilities

DataOps & Data Quality

  • Develop and maintain data quality rules, validation frameworks, and monitoring processes
  • Implement statistical process control (SPC) and anomaly detection to ensure data reliability
  • Support incident logging, triage, root‑cause analysis, and continuous improvement efforts

Data Governance & Metadata

  • Define and maintain metadata standards, data glossary entries, and end‑to‑end data lineage
  • Establish governance procedures, SOPs, and disclosure/suppression rules
  • Translate downstream analytics and governance requirements into clear upstream data specifications

Analytics & Business Intelligence

  • Design and support governed semantic data models
  • Assist with the development and validation of standardized dashboards and reports
  • Ensure data accuracy, refresh reliability, and compliance with governance standards

Platforms & Tools

  • Work within platforms such as Azure DevOps, cloud‑based data lakes, and BI tools
  • Maintain operational dashboards, KPIs, and performance metrics
  • Support agile workflows, documentation repositories, and collaboration tools

Enablement & Collaboration

  • Partner with internal teams through hands‑on co‑development sessions
  • Create and maintain Wikis, runbooks, and playbooks for long‑term ownership
  • Deliver role‑based training and support organizational readiness initiatives

Required Qualifications

  • Proven experience as a DataOps Engineer, Data Engineer, Analytics Engineer, or similar role
  • Strong background in data quality engineering, governance, and analytics enablement
  • Experience with:
    • Azure DevOps or similar workflow tools
    • Business intelligence platforms (e.g., Power BI or equivalent)
    • Cloud data platforms (Azure, AWS, or similar)
  • Experience working in Agile or iterative delivery environments
  • Strong documentation, communication, and stakeholder collaboration skills
  • Ability to work independently in a remote environment

Preferred Qualifications

  • Certifications such as:
    • Azure Data Engineer
    • Power BI Data Analyst
    • Databricks Data Engineer
    • Data Governance or Data Management certifications
  • Experience in healthcare, public sector, or highly regulated data environments
  • Familiarity with change management and operational enablement practices
     

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