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Remote Dataops Engineer Jobs (NOW HIRING)

Data Engineer 3

$117K - $140K/yr

This position can be remote, but expected to work in US time zone. Candidate will work closely with the DataOps team lead to understand the current use-cases, establish a plan for migration to ...

Senior Full Stack Engineer

Reston, VA · On-site +1

$75 - $85/hr

Remote (need to work in core EST hours) Pay Range: $70 - $80/hr Team: Cross Program Microservices ... Experience setting up a DataOps Meet Your Recruiter Chahat Mehta

Data Engineer - Archimedes

$117K - $140K/yr

Archimedes is unable to offer remote work to residents of Alaska, Arizona, Arkansas, California ... Design and implement DataOps practices including automated testing, deployment automation, data ...

We follow SAFe agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities:

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data ...

Senior Software Engineer

Reston, VA · On-site +1

$127K - $168K/yr

We follow lean agile practices, embrace the Ops (DataOps/DevSecOps/MLOps) to "automate-first", use ... Vienna, VA with remote flexibility Responsibilities: * Bridging the gap between complex business ...

Data Engineer

New York, NY · On-site +1

$140K - $180K/yr

Our company is proudly remote-first, distributed across North America. The Opportunity * Describe ... Experience with DataOps tools, such as Docker, GitHub Actions, and Terraform. * Experience with AI ...

We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ...

Azure Databricks Architect

Chandler, AZ · Remote

$65 - $84.75/hr

Minneapolis/Remote 12+ years of Data Solutions Design/Development Experience with at-least 2+ years ... Azure DevOps Implementation, DevSecOps / DataOps Methods preferred Should be able to drive the ...

$125K - $130K/yr

... DataOps platform powered by Apache Airflow ® . Astro accelerates building reliable data products ... Remote At Astronomer, we value diversity. We are an equal opportunity employer: we do not ...

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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 27, 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:
Data Engineer 3

$117K - $140K/yr

Other

Posted 4 days ago


Job description

Data Integration Specialist

This candidate will focus on data integrations and mapping between Snowflake & ThoughtSpot. Candidate will be responsible for evaluating existing dashboards & data, mapping/remapping new data to fit those dashboards, and creating/optimizing views in Snowflake. In addition, this role may interface with Dealers or Business.

This position can be remote, but expected to work in US time zone. Candidate will work closely with the DataOps team lead to understand the current use-cases, establish a plan for migration to Snowflake data sources, and be autonomous in delivery of that work. 15% requirements gathering, 15% meetings & collaborative work, 70% technical work in Snowflake & ThoughtSpot.

Technical Skills Required
  • Snowflake (creating/modifying/optimizing views & procs)
  • ThoughtSpot (Data Visualization)
  • Data Mapping/Modeling
  • Familiarity with Python
  • Experience in handling dealer/customer data
Soft Skills Required
  • Will communicate with business unit partners, Dealers, and internal technical teams so solid communication & presentation skills are important
Education Requirements:
  • 4 year degree in Computer Science or equivalent experience plus 5-7 years exp.