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Remote Data Engineer Jobs in Vermont (NOW HIRING)

Fluency

Vice President of Engineering

Burlington, VT · Remote

$172K - $197K/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 ...

Cox Communications, Inc.

Software Engineer I

Burlington, VT · On-site +1

$81K - $122K/yr

Our Demand Side Platform team operates at the intersection of high-throughput data systems, real-time decisioning, and cloud infrastructure. We are a collaborative team that values engineering craft ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Vermont

Remote Data Engineer information

See Vermont salary details

$47.3K

$137.9K

$188.7K

How much do remote data engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote data engineer in Vermont is $137,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $146,200.00 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 are the most commonly searched types of Data Engineer jobs in Vermont? The most popular types of Data Engineer jobs in Vermont are:
What are popular job titles related to Remote Data Engineer jobs in Vermont? For Remote Data Engineer jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Vermont look for? The top searched job categories for Remote Data Engineer jobs in Vermont are:
What cities in Vermont are hiring for Remote Data Engineer jobs? Cities in Vermont with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Vice President of Engineering

Vice President of Engineering

Fluency

Burlington, VT • Remote

$172K - $197K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 23 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 $172,000 – $197,000 and 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 and twelve holidays
  • Maternity and parental leave
  • Employee wellness programs and mental health support
  • Remote work flexibility and home office stipends

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.