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Remote Data Engineer Jobs in Plattsburgh, NY (NOW HIRING)

EDR Technology

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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 ...

ABB

Senior Project Engineer

Burlington, VT · Remote

$101K - $132K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

Fluency

Vice President of Engineering

Burlington, VT · Remote

$172K - $220K/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 ...

ABB

Strategic Segment Proposal Engineer

Burlington, VT · Remote

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Plattsburgh, NY

Remote Data Engineer information

See Plattsburgh, NY salary details

$46.8K

$136.3K

$186.5K

How much do remote data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote data engineer in Plattsburgh, NY is $136,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,300.00 and $144,500.00 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 are the most commonly searched types of Data Engineer jobs in Plattsburgh, NY?

The most popular types of Data Engineer jobs in Plattsburgh, NY are:

What cities near Plattsburgh, NY are hiring for Remote Data Engineer jobs?

Cities near Plattsburgh, NY with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Plattsburgh, NY as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $136,305 per year, or $65.5 per hour.

Cloud Storage Engineer (Remote)

EDR Technology

Burlington, VT • Remote

$67K - $75K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

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Job description

MUST BE A US CITIZEN

Location: REMOTE

Senior Storage Engineer (NetApp & Azure NetApp Files)

Position Summary

We are seeking a highly experienced Senior Storage Engineer to lead the architecture, design, implementation, and operational support of enterprise storage platforms across both on-premises and Microsoft Azure environments. This position is intended for a senior-level technical expert capable of independently designing, deploying, and optimizing complex storage solutions with minimal oversight.

The ideal candidate possesses extensive experience with NetApp ONTAP and Azure NetApp Files (ANF), understands enterprise infrastructure architecture, and can translate business and technical requirements into scalable, secure, and highly available storage solutions. This individual will serve as a technical leader, provide architectural guidance, mentor junior engineers when needed, and drive engineering best practices across the organization.

Key Responsibilities

  • Design, architect, implement, and support enterprise NetApp storage solutions for mission-critical workloads.
  • Design and implement Azure NetApp Files (ANF) solutions following Microsoft and NetApp architectural best practices.
  • Develop scalable storage architectures supporting high availability, disaster recovery, performance optimization, and business continuity.
  • Lead storage modernization initiatives, including migration of workloads from traditional on-premises storage to Azure NetApp Files.
  • Design storage networking, capacity planning, replication strategies, backup integration, and disaster recovery solutions.
  • Configure and manage NetApp ONTAP clusters, Storage Virtual Machines (SVMs), aggregates, volumes, snapshots, SnapMirror, SnapVault, and related technologies.
  • Perform advanced performance analysis and troubleshooting across storage, networking, virtualization, and operating system layers.
  • Administer storage using both NetApp System Manager and the ONTAP CLI.
  • Develop automation where appropriate using PowerShell, Bash, REST APIs, or Infrastructure-as-Code methodologies.
  • Create and maintain engineering standards, architecture diagrams, operational procedures, and technical documentation.
  • Participate in architectural reviews and provide technical recommendations for enterprise infrastructure initiatives.
  • Collaborate with Azure architects, Linux administrators, Windows engineers, database administrators, virtualization teams, and cybersecurity personnel.
  • Provide Tier III/IV engineering support for complex production issues.
  • Evaluate emerging storage technologies and recommend improvements that enhance reliability, security, scalability, and operational efficiency.

Required Qualifications

  • 10+ years of enterprise storage engineering experience.
  • 5+ years of hands-on NetApp ONTAP administration and architecture.
  • 3+ years of hands-on Azure NetApp Files (ANF) engineering and architecture.
  • Demonstrated experience designing enterprise storage architectures from concept through production implementation.
  • Expert knowledge of NetApp ONTAP architecture and administration.
  • Extensive experience with storage replication, snapshots, cloning, disaster recovery, and data protection strategies.
  • Strong Linux administration experience, including command-line management, storage provisioning, file systems, permissions, and performance analysis.
  • Experience administering enterprise storage using the NetApp ONTAP CLI and management interfaces.
  • Strong understanding of NFS, SMB/CIFS, iSCSI, and enterprise storage protocols.
  • Experience supporting VMware, Hyper-V, Kubernetes, or enterprise virtualization platforms.
  • Excellent troubleshooting skills across storage, operating systems, networking, and cloud infrastructure.
  • Ability to produce architecture documentation, technical designs, implementation plans, and operational procedures.

Desired Qualifications

  • Experience with Azure Arc
  • Experience with Infrastructure as Code (Terraform, Bicep, ARM, or similar)
  • Experience with automation using PowerShell, Bash, Python, or REST APIs
  • Experience supporting SQL Server, Oracle, SAP, or other enterprise applications hosted on NetApp storage
  • Familiarity with enterprise backup platforms such as Commvault, Veeam, or Rubrik

Professional Competencies

The successful candidate will demonstrate:

  • Ability to work independently with little to no supervision.
  • Strong initiative and ownership of assigned projects from design through implementation.
  • Excellent analytical and problem-solving skills.
  • Ability to make sound engineering decisions in complex enterprise environments.
  • Strong communication skills with both technical and executive audiences.
  • Proven ability to lead technical initiatives and influence architectural direction.
  • Ability to prioritize multiple concurrent projects in a fast-paced environment.
  • Commitment to engineering excellence, documentation, and operational discipline.

Preferred Candidate Profile

This role is intended for a senior engineer—not an entry-level administrator. The successful candidate will be a recognized technical expert who:

  • Requires minimal guidance or day-to-day direction.
  • Is a self-starter who proactively identifies problems and develops solutions.
  • Can independently architect, implement, and support complex enterprise storage environments.
  • Is comfortable making technical recommendations and defending architectural decisions.
  • Takes ownership of projects and follows them through completion.
  • Continuously evaluates new technologies and recommends improvements aligned with organizational goals.
  • Serves as a trusted technical advisor for enterprise storage strategy.

Company Description

EDR Technology represents a highly efficient team of experienced and driven professionals. We specialize in providing high quality software and network solutions that allow organizations to maintain and access critical information. We are a customer oriented company and our mission is - getting the job done quickly, and getting it done right the first time. Regardless of the nature of the services and size of the project, we never lose sight of the most important thing - our customer satisfaction.