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Remote Snowflake Jobs in Vermont (NOW HIRING)

Green Mountain Power

Data Engineer

Colchester, VT · On-site +1

$145K - $150K/yr

Data Engineer (Remote) Green Mountain Power Corporation seeks a Data Engineer to collect, clean ... Snowflake, Oracle, SQL Server, PostgreSQL, MongoDB, Hadoop, Spark, Hive, Impala, and HDFS; Cloud ...

Vishay

Quoting & Data Analyst Specialist

Bennington, VT · On-site +1

Remote What you will be doing: * Manage daily quoting activities for capacitor components and related product lines. * Generate, review, and process customer quotations in accordance with company ...

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$38

$71

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How much do remote snowflake jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for remote snowflake in Vermont is $71.88, according to ZipRecruiter salary data. Most workers in this role earn between $63.65 and $81.54 per hour, depending on experience, location, and employer.

Is it hard to get hired at Snowflake?

Getting hired for a remote Snowflake role can be competitive, as the company seeks candidates with strong data warehousing skills, cloud platform experience, and proficiency in SQL and Python. Candidates often go through multiple interview rounds assessing technical knowledge and problem-solving abilities. Having relevant certifications and a solid understanding of cloud environments can improve chances of success.

Are Snowflake jobs in high demand?

Snowflake-related jobs, including roles like data engineers and analysts, are in high demand due to the increasing adoption of cloud data platforms. Skills in SQL, cloud computing, and data warehousing are highly sought after, and many organizations are hiring for these positions to support data-driven decision making.

What are the key skills and qualifications needed to thrive in the Remote Snowflake position, and why are they important?

To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What is a Remote Snowflake job?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

How to make $80,000 a year working from home?

A remote Snowflake professional can earn $80,000 or more annually by gaining expertise in data warehousing, SQL, and cloud platforms, often requiring certifications like Snowflake Certified Data Engineer. Building a strong portfolio, demonstrating technical skills, and working for companies that offer remote roles with competitive salaries can help achieve this income level.

Does Snowflake offer remote jobs?

Yes, Snowflake offers remote job opportunities across various roles, including positions in data engineering, software development, and sales. Many of these roles are fully remote or have flexible work arrangements, often requiring familiarity with cloud platforms and data tools.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.

What are popular job titles related to Remote Snowflake jobs in Vermont? For Remote Snowflake jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Remote Snowflake jobs in Vermont look for? The top searched job categories for Remote Snowflake jobs in Vermont are:
What cities in Vermont are hiring for Remote Snowflake jobs? Cities in Vermont with the most Remote Snowflake job openings:
Remote Snowflake jobs near you
Data Engineer

Data Engineer

Green Mountain Power

Colchester, VT • On-site, Remote

$145K - $150K/yr

Full-time

Posted 19 hours ago

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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