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

Vultus Inc

Databricks Engineer

Johnson, VT · On-site +1

... Remote / Hybrid Job Summary We are looking for an experienced Databricks Engineer to design, develop, and maintain scalable data engineering solutions using Databricks and cloud-based data platforms.

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 ...

ABB

Senior Project Engineer

Burlington, VT · Remote

$101K - $132K/yr

The work model for the role is: remote #LI-remote This role is contributing to the Electrification ... More about us ABB Smart Power provides energy distribution solutions for data centers, industrial ...

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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.

Databricks Engineer

Vultus Inc

Johnson, VT • On-site, Remote

Full-time

Posted 4 days ago

Job description

Databricks Engineer

Experience

3–6 Years

Job Type

Full-Time

Job Location

Hyderabad / Remote / Hybrid

Job Summary

We are looking for an experienced Databricks Engineer to design, develop, and maintain scalable data engineering solutions using Databricks and cloud-based data platforms. The candidate will work on data pipelines, ETL/ELT processes, data transformation, and analytics solutions.

Primary Skills
  • Databricks
  • Apache Spark / PySpark
  • Python
  • SQL
  • Data Engineering
  • ETL / ELT
  • Delta Lake
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • Data Pipelines
  • Cloud Data Platforms
Secondary Skills
  • Azure / AWS / GCP
  • Data Warehousing
  • Apache Kafka
  • Git / GitHub
  • CI/CD
  • REST APIs
  • Terraform
  • Power BI
  • Performance Optimization
Key Responsibilities
  • Develop and maintain scalable data pipelines using Databricks and PySpark.
  • Design ETL/ELT workflows for processing large datasets.
  • Build and optimize Delta Lake tables and data processing jobs.
  • Develop data solutions using cloud platforms such as Azure, AWS, or GCP.
  • Integrate data from multiple sources into data lake and data warehouse environments.
  • Optimize Spark jobs and Databricks workloads for performance and cost.
  • Implement data quality, validation, and error-handling processes.
  • Collaborate with data scientists, analysts, and application teams.
  • Implement CI/CD practices for data engineering workflows.
  • Troubleshoot production data pipelines and resolve data-related issues.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 3+ years of experience in Data Engineering.
  • Strong hands-on experience with Databricks, PySpark, Python, and SQL.
  • Experience working with cloud data platforms.
  • Good understanding of data modeling, ETL/ELT, and data warehousing concepts.
  • Strong analytical and problem-solving skills.
Preferred Certifications
  • Databricks Certified Data Engineer
  • Microsoft Azure Data Engineer Associate
  • AWS Certified Data Engineer
Salary

Competitive / Based on Experience