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Remote Data Jobs in Vermont (NOW HIRING)

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

Remote (US) About the Role Mach7 Technologies helps healthcare providers unify and manage their ... Maintain list hygiene and lead lifecycle/routing and help keep our CRM data consistent as records ...

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Remote Data information

See Vermont salary details

$48.9K

$175.5K

$258.9K

How much do remote data jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data in Vermont is $175,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,900.00 and $180,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible, making them accessible to a wide range of job seekers.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

What are the most commonly searched types of Data jobs in Vermont?

The most popular types of Data jobs in Vermont are:

What are popular job titles related to Remote Data jobs in Vermont?

For Remote Data jobs in Vermont, the most frequently searched job titles are:

What cities in Vermont are hiring for Remote Data jobs?

Cities in Vermont with the most Remote Data job openings:

Infographic showing various Remote Data job openings in Vermont as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $175,456 per year, or $84.4 per hour.

Vice President of Engineering

Fluency

Burlington, VT • Remote

$172K - $220K/yr

Full-time

Posted 8 days ago


Job description

Company Overview

At Fluency, we come together under two shared passions that drive our culture: the scaling of digital ad operations, and fostering a workplace environment rooted in open communication, inclusivity, and a growth-oriented mindset. These passions not only set us apart in the industry, but also fuel our collective drive to reshape the industry and reinvent ourselves along the way. We're not just revolutionizing the digital advertising horizon, we're shaping an organization where every member feels a sense of pride and is inspired to do their best work.

Job Summary

The VP of Engineering is a strategic executive leader responsible for the long-term technical vision, organizational health, and scalable architecture of the Fluency platform. This role moves beyond day-to-day tactical ownership to focus on building high-leverage organizational structures, cross-functional alignment at the executive level, and a platform foundation that supports massive customer growth without proportional increases in technical debt. Crucially, this leader brings a proven track record of designing and executing large-scale system implementations within the high-volume advertising technology (Ad-Tech) or digital advertising ecosystem to fuel our next phase of scale.

Key Executive Responsibilities
  • Executive Strategy & Influence: Partner with the CTO and C-Suite to define the long-term engineering roadmap and ensure continuous alignment with overarching company strategy and platform stability requirements.
  • Organizational Architecture: Continuously refine and oversee the engineering organizational structure (e.g., Squad model) to ensure directors and leads are empowered to operate independently, preventing the VP from becoming a tactical constraint.
  • Platform Resilience & Ad-Tech Scale: Maintain and evolve the strategic architectural direction of the Fluency platform—particularly blending our cellular/isolated database architecture with the high-concurrency, low-latency requirements characteristic of large-scale advertising systems. Ensure robust resilience under massive data volumes for hundreds of enterprise customers.
  • Experimentation Framework: Define and enforce engineering standards and clear operational boundaries between experimental product R&D (Labs) and stable core engineering to safeguard platform integrity.
  • Remote Leadership Excellence: Lead and foster a high-performance, geographically distributed remote engineering culture, ensuring seamless communication, accountability, and operational excellence across all time zones.
  • Talent Strategy: Develop and manage the long-term talent strategy, overseeing hiring, professional development pipelines, and succession planning to ensure staffing aligns with future technical and business needs.
What We Look For
  • Strategic Visionary: A leader who can articulate the business impact of technical debt and infrastructure investments to non-technical stakeholders.
  • Systems Thinker: Proven ability to build "systems of people" that solve complex problems without needing direct executive intervention.
  • Ad-Tech Scale Expertise: Deep operational understanding of high-throughput distributed systems, heavy data pipeline mechanics, and ecosystem integrations unique to the advertising world.
  • Crisis Management Executive: Ability to remain calm and decisive during high-stakes incidents while simultaneously building the frameworks to prevent their recurrence.
  • Executive Presence: Comfortable navigating organizational resistance and building compelling business cases for modernization.
Required Experience
  • 10+ years of progressive experience in engineering leadership.
  • 5+ years of engineering leadership experience specifically within the advertising industry (Ad-Tech, Mar-Tech, or high-volume digital media platforms), successfully delivering large-scale system implementations.
  • Proven track record of scaling a SaaS platform through significant revenue and customer growth.
  • Experience managing multiple managers or directors in a squad-based or departmental structure.
  • Deep familiarity with AI-powered development tools and their impact on engineering productivity.

Fluency pays all employees based on U.S. nationwide averages for each role, designed to ensure pay equity. This is a full-time, remote position that requires legal authorization to work in the U.S. Starting pay range is determined by job-related skills, experience, and knowledge. The role is also eligible for a discretionary bonus, equity options, and a comprehensive benefits package including:

• Medical, dental, and vision coverage for employees and their families
• 401(k) plan with company match
• Four weeks of Combined Time Off (CTO), flexible schedule, and twelve holidays
• Maternity and parental leave
• Employee wellness programs and mental health support
• Remote work flexibility and home office stipends

Starting Pay Range
$172,000—$220,000 USD

At Fluency, we're proud to be an equal opportunity employer.
We're committed to building a diverse, inclusive, and supportive workplace where everyone can thrive. We welcome applicants of all backgrounds and identities and do not tolerate discrimination or harassment of any kind.

Employment decisions at Fluency are made based on business needs, job requirements, and individual qualifications—without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, genetic information, veteran status, or any other status protected by federal, state, or local laws.