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Remote Data Engineer Jobs in Shelburne, VT (NOW HIRING)

Green Mountain Power

Data Engineer

Colchester, VT · On-site +1

$150K/yr

Data Engineer (Remote) Green Mountain Power Corporation seeks a Data Engineer to collect, clean, and analyze large, complex datasets from multiple sources, including APIs, data streams, and databases ...

EDR Technology

Be Seen First

Cloud Storage Engineer (Remote)

Burlington, VT · Remote

$67K - $75K/yr

REMOTE Senior Storage Engineer (NetApp & Azure NetApp Files) Position Summary We are seeking a ... Extensive experience with storage replication, snapshots, cloning, disaster recovery, and data ...

Fluency

Vice President of Engineering

Burlington, VT · Remote

$172K - $220K/yr

Ensure robust resilience under massive data volumes for hundreds of enterprise customers ... Remote Leadership Excellence: Lead and foster a high-performance, geographically distributed remote ...

Mach7 Technologies

Senior Security Engineer

Burlington, VT · Remote

$114K - $157K/yr

Remote-Friendly About the Role: We\'re looking for a Senior Security Engineer to lead application ... Build and maintain a living model of the product attack surface -- mapping trust boundaries, data ...

ABB

Strategic Segment Proposal Engineer

Burlington, VT · Remote

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

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

Remote Data Engineer information

See Shelburne, VT salary details

$47.1K

$137.4K

$188K

How much do remote data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data engineer in Shelburne, VT is $137,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $145,700.00 per year, depending on experience, location, and employer.

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 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.

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.

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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What cities near Shelburne, VT are hiring for Remote Data Engineer jobs?

Cities near Shelburne, VT with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Shelburne, VT as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $137,413 per year, or $66.1 per hour.

Data Engineer

Green Mountain Power

Colchester, VT • On-site, Remote

$150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer (Remote)

Green Mountain Power Corporation seeks a Data Engineer to collect, clean, and analyze large, complex datasets from multiple sources, including APIs, data streams, and databases, to generate actionable insights. Build, validate, and deploy machine learning models and algorithms using best practices in data science and reproducible research. Apply statistical modeling, machine learning, and predictive analytics to solve business problems and improve decision-making. Analyze source systems, define data transformation requirements, and design suitable data models. Collaborate with the Data & analytics team to ensure data quality, resolve data-related challenges, and identify opportunities for new data-driven solutions. Implement data privacy, security, and compliance best practices when handling sensitive or regulated data. Continuously evaluate and adopt new methods, tools, and techniques to improve the accuracy, efficiency, and scalability of analytics solutions. Support both Agile and Waterfall project methodologies while delivering models, insights, and recommendations on time. Telecommuting permitted. 5% domestic travel required.  Salary Range: $145,683 – 150,000 per year

JOB REQUIREMENTS:

Requires a Bachelor\'s degree (or foreign equivalent) in Computer Science, Information Technology, Biotechnology, or a related field and 7 years of experience in data or software engineering. Experience must include: Programming Languages: PL/SQL, Java, Python, HTML, Salesforce SOQL, Unix Shell Scripting; ETL & BI Tools: Talend (Cloud & ESB), Oracle Data Integrator, Informatica, Apache Airflow, Azure Data Factory, OBIEE, Tableau, and Power BI; Database Technologies: Snowflake, Oracle, SQL Server, PostgreSQL, MongoDB, Hadoop, Spark, Hive, Impala, and HDFS; Cloud Platforms: AWS S3, Microsoft Azure, and Google Cloud Platform (GCP); Data Modeling & Design: Star Schema, Snowflake Schema, and Dimensional Modeling Version Control: Git, GitHub, and GitLab; Data Integration & APIs: RESTful APIs, WSDL, JSON, XML, Postman, and SoapUI; API Development & Management: Snowflake Streamlit, microservices architecture, and cursor-based operations; Security & Compliance: Active Directory, SSL/TLS, encryption, and data governance standards; Operating Systems: Windows, Linux, UNIX, and Mainframes; Project Management Tools: JIRA, Monday.com; and Development Methodologies: Agile and Waterfall. Telecommuting permitted. 5% domestic travel required.

THIS POSITION IS ELIGIBLE FOR THE EMPLOYEE REFERRAL PROGRAM

Apply online at https://greenmountainpower.com/careers/ (Job ID: 4042189).

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