ZipRecruiter

Log In

1

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 ...

Wise Skulls

DataOps Engineer

Sunnyvale, CA · On-site

DataOps Engineer Location: Sunnyvale, CA (Hybrid) Duration: 6 months (possibility of extension) Implementation Partner: Infosys End Client: To be disclosed JD: Minimum Years of Experience: 8+ years ...

Greystar Worldwide, LLC

DataOps Engineer

$99K - $136K/yr

SUMMARY Greystar is seeking a DataOps Engineer to join the Data Marketplace (DMP) team. This is a deeply technical, hands-on platform engineering role at the core of Greystar's enterprise data ...

Amtex Enterprises Inc

Senior DataOps Engineer

Charlotte, NC · On-site

$110.21 - $117.10/hr

Senior DataOps Engineer Duration: 12+ Months Rate: $80-85/hr on Vendor W2- MAX Location: Remote or Hybrid (Charlotte, NC) Department: Integration, Data & AI Engineering Position Overview Seeking a ...

New

Kforce Technology Staffing

Lead DataOps Engineer

Millburn, NJ · On-site

$102K - $135K/yr

The Lead DataOps Engineer will work on projects responsible for technology operations and support of all Data Engineering, Analytics and Reporting for specific business areas. This includes Data ...

Greystar Real Estate Partners

DataOps Engineer

$99K - $136K/yr

SUMMARY Greystar is seeking a DataOps Engineer to join the Data Marketplace (DMP) team. This is a deeply technical, hands-on platform engineering role at the core of Greystar's enterprise data ...

PayNearMe, Inc.

DataOps Engineer

Santa Clara, CA · On-site +1

$120K - $150K/yr

We're looking to add a dynamic DataOps Engineer , reporting to our Manager of Data Operations. About our Stack: * Cloud Provider: AWS * Database: MySQL, PostgreSQL * Extract/Load: Fivetran

3S Business Corporation Inc.

Devops (DataOps) Engineer

Erie, PA · On-site

$51.25 - $70.25/hr

... DataOps) Engineer Location - Erie PA (Onsite) Long term Mandatory Skills & Qualifications: * Bachelor s degree in Computer Science or Engineering * 10+ years of DevOps/DataOps experience * Strong ...

MedPro Group

DataOps Engineer

$100K - $150K/yr

We are looking for candidates with... * 5 to 7 years of hands-on experience in cloud engineering, DataOps, DevOps, or a related role. * Bachelor's degree in Computer Science, Engineering, or a ...

New

Scout Motors Inc.

Senior DataOps Engineer

Charlotte, NC · On-site

$102K - $140K/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.

Voyager Technologies, Inc.

Senior DataOps Engineer

$107K - $146K/yr

Job Summary The DataOps Engineer is responsible for designing, building, and operationalizing data infrastructure that powers the organization's analytics and business intelligence capabilities. This ...

Scout Motors

Senior DataOps Engineer

Charlotte, NC · On-site

$119K - $157K/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 ...

Guild

Senior DataOps Engineer

$94K - $136K/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

$105K - $126K/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

$102K - $140K/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 ...

next page

Showing results 1-20

All JobsDataops Engineer Jobs

Dataops Engineer information

See salary details

$23

$63

$110

How much do dataops engineer jobs pay per hour?

As of Aug 21, 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?

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.

More about Dataops Engineer jobs

What cities are hiring for Dataops Engineer jobs?

Cities with the most Dataops Engineer job openings:

What are the most commonly searched types of Dataops Engineer jobs?

The most popular types of Dataops Engineer jobs are:

What states have the most Dataops Engineer jobs?

States with the most job openings for Dataops Engineer jobs include:

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

The top searched job categories for Dataops Engineer jobs are:

Dataops Engineer jobs near you
Infographic showing various Dataops Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $132,084 per year, or $63.5 per hour.

DataOps Engineer

Trioptus

Montpelier, VT • On-site

Contractor

Re-posted 22 days 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
     

    #DataOps #DataEngineering #CloudData #AzureDevOps #PowerBI #DataGovernance #AnalyticsJobs