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

Intuit

Manager, Partner Program Operations

Montpelier, VT · Remote

$210K - $284K/yr

... Data and Systems Engineering , Enablement, Finance, and Legal. * Launch Readiness: Drive the team ... California Remote (Bay Area) $210,000- $284,000 California Remote (Not Bay Area) $192,000- $259,500 ...

New

Intuit

Manager, Partner Program Operations

Montpelier, VT · On-site +1

$210K - $284K/yr

... Data and Systems Engineering , Enablement, Finance, and Legal. * Launch Readiness: Drive the team ... California Remote (Bay Area) $210,000- $284,000 California Remote (Not Bay Area) $192,000- $259,500 ...

New

Revvity

Sr. Tax Manager (REMOTE)

Montpelier, VT · On-site +1

$134K - $167K/yr

Revvity | About Us Revvity is a developer and provider of end-to-end solutions designed to help ... Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ...

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

Remote Data Engineer information

See Waterbury, VT salary details

$44.4K

$129.5K

$177.2K

How much do remote data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data engineer in Waterbury, VT is $129,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $137,200.00 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 Waterbury, VT are hiring for Remote Data Engineer jobs?

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Waterbury, VT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $129,464 per year, or $62.2 per hour.

Principal Software Engineer, DSP Integrations

Fluency

Burlington, VT • Remote

$135K - $181K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 29 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.

Team Overview

The Fluency Engineering Team is detail-oriented and extraordinarily passionate about digital advertising. We blend the art and science of advertising into simple and scalable solutions to complex problems, and deliver leading-edge software products to our customers. Our culture is rooted in open communication, inclusivity, and a growth-oriented mindset as we reshape the digital advertising horizon.

Fluency operates at the scale of $3B+ in annualized media spend across more than 250,000 campaigns per month. The DSP Integrations team is responsible for the technical relationship between Fluency's automation platform and the major Demand-Side Platforms we integrate with: The Trade Desk, Amazon DSP, and Basis today, with additional DSP and retail-media-network partners on our roadmap. This team is a central piece of Fluency's strategic position as a gateway through which agents, brands, and agencies reach the full paid media ecosystem.

The Fluency platform is built using a native AWS architecture, leveraging Java, Spring Boot, RDS/MySQL, S3, and Vue.js.

Job Summary

The Principal Software Engineer, DSP Integrations is a full-time remote role with an optional office in Burlington, VT. This is a senior individual contributor role focused on the architecture and execution of Fluency's integrations with major Demand-Side Platforms, with a near-term focus on accelerating Amazon DSP delivery and sustaining cross-DSP integration depth across TTD, Amazon DSP, and Basis.

The DSP Integrations team does not build a DSP. We build the integration layer between Fluency's automation platform and the DSPs our customers use. As the Principal Engineer on this team, you will be the senior technical voice on integration architecture, partner API design, and the encoding of each DSP's distinctive operational semantics into Fluency's platform. You will work alongside the team's tech lead and engineers, contributing architectural depth and hands-on execution rather than people leadership.

Your Role
  • Architect Fluency's integrations with major Demand-Side Platforms (currently TTD, Amazon DSP, and Basis; expanding over time).
  • Design and own partner API integrations (REST and GraphQL), including authentication, rate limits, retries, idempotency, reporting feeds, and webhook patterns.
  • Encode platform-specific operational semantics (campaign and ad group structure, targeting, budget behavior, bid strategies, attribution windows, learning-phase triggers) so that Fluency executes correctly on each DSP.
  • Implement cross-DSP capabilities including blueprint integration, reverse sync and forward mutate patterns, and object authority models.
  • Partner with DSPs at the engineering level, collaborating with partner-side technical contacts to unblock integration work.
  • Set technical direction and quality standards through architectural decisions, code, and design reviews, exercising influence rather than formal authority.
  • Triage and resolve partner-integration defects and client-launch issues affecting campaign execution and reporting accuracy.
What We Look ForCore Experience
  • 8+ years of software development experience, with a heavy focus on backend architecture and integration design.
  • Direct experience integrating with major DSPs as a consumer of their APIs (TTD, Amazon DSP, Basis, MSFT DSP, Yahoo DSP, StackAdapt, or equivalents). Hands-on knowledge of more than one is strongly preferred.
  • Deep experience working with partner APIs at scale: REST and GraphQL, authentication patterns, rate limits, retries, idempotency, reporting ingestion, and webhook handling.
  • Practical understanding of DSP operational differences (budgeting, pacing, targeting, bid strategies, reporting), with a track record of encoding those differences correctly in integration logic.
  • Proven proficiency with Java and Spring Boot, including event-driven services (e.g., Kafka).
  • Knowledge of cloud infrastructure (AWS) and experience with distributed systems operating at high data volume.
Capability areas that matter most
  • Distributed systems at walled-garden API volume. You have built high-throughput orchestration on top of partner APIs, with resilience under platform-side instability, and have the discipline to encode platform operational knowledge as structured, testable, continuously-updated capability. 
  • AI-augmented production pipelines. You have built production systems where LLMs, deterministic rules, machine learning models, and purpose-built inference coexist, with work routed to the right layer based on cost, latency, and correctness. 
  • AI-augmented software development. You operate well in an AI-augmented engineering workflow: strong at specification, review, architectural decomposition, and judgment under ambiguity, and able to work productively at higher levels of abstraction.

Other qualities we look for

  • Comfort with high-volume integration workloads. Fluency operates at $3B+ annualized spend across 250,000+ monthly campaigns.
  • Strong bias toward ownership and impact in an environment with aggressive deadlines and externally committed delivery dates.
  • Passion for iterative development and continuous learning.

Fluency is headquartered in Vermont.  This position is remote US based.  If local, you have the option to go into the office. 

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
$160,000—$184,000 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.