ZipRecruiter

Log In

2

Remote Dataops Engineer Jobs (NOW HIRING)

Trioptus

DataOps Engineer

Montpelier, VT · Remote

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 ...

Trioptus

DataOps Engineer

Montpelier, VT · Remote

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 ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$117K - $140K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... CI/CD & DataOps Engineering * Design and implement CI/CD pipelines for data pipelines ...

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... CI/CD & DataOps Engineering * Design and implement CI/CD pipelines for data pipelines ...

Tech Tammina

DBT Engineer (GCP)

$117K - $140K/yr

DBT Engineer (GCP) | C2C | Remote * Airflow DAGs, Cloud Composer * BigQuery, Dataplex, Data Fusion ... Python as the primary language (Java/Scala as a plus) * Strong Git workflows, CI/CD, and DataOps ...

Ectobox Inc.

IIoT Engineer (Remote)

Pittsburgh, PA · Remote

$110K - $130K/yr

Industry 4.0 Engineer About Ectobox Ectobox is a Pittsburgh-based remote industrial intelligence ... DataOps, Canary Labs Historian * Develop and maintain tag models, scripting logic, and ...

Renown Health

Senior Platform Architecture Engineer

Reno, NV · On-site +1

$55 - $71/hr

This position is open to remote candidates who reside in one of the following states only: Nevada ... The Senior Engineer of Platform Architecture collaborates closely with DataOps, Quality ...

Neovance LP

Senior Data Engineer

$108K - $147K/yr

Remote - US Based About Neovance: At Neovance, we're transforming the patient experience by driving ... Champion DataOps methodologies and version control standards across the engineering team. Client ...

next page

Showing results 1-20

People also search for

All JobsRemote Dataops Engineer Jobs

Remote Dataops Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do remote dataops engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for remote dataops engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

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

AspectRemote Dataops EngineerData Engineer
CredentialsBS in CS, Data Science, or related; certifications like AWS, GCP, or AzureSimilar credentials; often with additional database or software engineering certifications
Work EnvironmentRemote or hybrid, collaborative teams, cloud platformsRemote or on-site, data-focused teams, cloud and on-prem infrastructure
Industry UsageTech, finance, healthcare, e-commerceTech, finance, retail, telecom
Search & Comparison IntentUnderstanding roles in data operations, cloud deployment, automationFocus on data pipeline development, database management, ETL processes

The Remote Dataops Engineer and Data Engineer roles share many credentials and work environments, often overlapping in cloud and data infrastructure. However, Data Engineers typically focus more on building and maintaining data pipelines and databases, while Dataops Engineers emphasize automating deployment, monitoring, and optimizing data workflows in cloud environments.

What is a Remote DataOps Engineer?

A Remote DataOps Engineer is a technology professional who works remotely to manage, automate, and optimize data pipelines and processes within an organization. Their main goal is to streamline the flow of data between various systems, ensuring the availability, quality, and security of data for analytics and business operations. They collaborate closely with data engineers, analysts, and IT teams to develop efficient workflows, automate repetitive tasks, and monitor data infrastructure performance. By working remotely, they leverage cloud-based tools and communication platforms to support distributed teams and global data operations.

How do Remote DataOps Engineers typically collaborate with cross-functional teams to ensure smooth data pipeline operations?

Remote DataOps Engineers often work closely with data engineers, analysts, and DevOps teams using collaboration tools like Slack, Jira, and GitHub. Regular virtual meetings and documentation are essential to align on pipeline requirements, monitor data quality, and resolve issues quickly. Clear communication and proactive status updates help build trust with stakeholders and ensure that data infrastructure supports business needs efficiently, even when working remotely.

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

To thrive as a Remote DataOps Engineer, you need expertise in data engineering, automation, and pipeline management, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, Kubernetes, CI/CD systems, and cloud platforms such as AWS or Azure is highly valued, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills are crucial for managing distributed teams and complex data workflows. These skills and qualities ensure efficient, reliable, and scalable data infrastructure essential for modern data-driven organizations.
More about Remote Dataops Engineer jobs
What cities are hiring for Remote Dataops Engineer jobs? Cities with the most Remote 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 Remote Dataops Engineer jobs? States with the most job openings for Remote Dataops Engineer jobs include:
What job categories do people searching Remote Dataops Engineer jobs look for? The top searched job categories for Remote Dataops Engineer jobs are:
Remote Dataops Engineer jobs near you
Infographic showing various Remote Dataops Engineer job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
DataOps Engineer

DataOps Engineer

Trioptus

Montpelier, VT • Remote

Full-time

Posted 6 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 and 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 and 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 and 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 and 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 and 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

Apply