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Remote Data Engineer Jobs in Barre, VT (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 ...

General Motors

Senior AI/ML Engineer

Montpelier, VT · On-site +1

$105K - $145K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ...

Quora

AI Automation Engineer -Remote

Barre, VT · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Montpelier, VT · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Cardinal Health

Software Engineer

Montpelier, VT · Remote

... engineering practices. This job family programs and configures end user applications, systems ... Remote Candidates who are back-to-work, people with disabilities, without a college degree, and ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Barre, VT

Remote Data Engineer information

See Barre, VT salary details

$43.7K

$127.4K

$174.3K

How much do remote data engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for remote data engineer in Barre, VT is $127,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $135,000.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
More about Remote Data Engineer jobs
What cities near Barre, VT are hiring for Remote Data Engineer jobs? Cities near Barre, VT with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Barre, VT as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,362 per year, or $61.2 per hour.
DataOps Engineer

DataOps Engineer

Trioptus

Montpelier, VT • Remote

Other

Posted 13 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

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