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Remote Data Engineer Jobs in Norway, ME (NOW HIRING)

Anchour

Front-End Developer (Remote)

New Gloucester, ME · Remote

$106K - $123K/yr

Overview We're hiring a Front-End Developer to build the websites that carry our biggest brands. We ... Custom WordPress, from-scratch Shopify themes, and the data layers and integrations that do the ...

InfoTrust

Senior Graphic Designer (Remote)

Mexico, ME · On-site +1

$67K - $92K/yr

... power of data to drive marketing performance and business growth. We specialize in digital ... developers and other stakeholders. * Leadership & Mentorship: Provide clear creative direction and ...

Anchour

Front-End Developer

New Gloucester, ME · On-site +1

$90K - $105K/yr

Custom WordPress, from-scratch Shopify themes, and the data layers and integrations that do the ... This is a hybrid role based out of our Maine headquarters, with flexibility for remote work. We'd ...

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Norway, ME

Remote Data Engineer information

See Norway, ME salary details

$41.9K

$122.3K

$167.3K

How much do remote data engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote data engineer in Norway, ME is $122,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $129,600.00 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.

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.
More about Remote Data Engineer jobs
What cities near Norway, ME are hiring for Remote Data Engineer jobs? Cities near Norway, ME with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Norway, ME as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, and 5% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $122,278 per year, or $58.8 per hour.

Senior Full-Stack Engineer (Node.js & Next.js, AI-Native) - Remote

Lumimeds

Mexico, ME • Remote

Other

Posted 28 days ago

Job description

Platform & Product Engineering - LumiMeds
Location: Remote / Hybrid
Seniority: Mid-Level / Senior (Individual Contributor)
Role Overview

LumiMeds is a high-growth telehealth platform building the next generation of virtual telehealth infrastructure. We are looking for an AI-First Full-Stack Engineer who treats AI not as a tool but as a core part of how they think, build, and ship.

This is not a role for someone who occasionally uses Copilot to autocomplete lines. You are an engineer who has rebuilt how you work around AI- using LLMs to generate scaffolding, reason through architecture, write tests, debug production issues, and ship faster than a team twice the size. Critically, you know how to orchestrate Claude agent teams to parallelize complex engineering work, treating a coordinated group of Claude agents as a force multiplier on top of your own output. You will balance 90% hands-on coding with 10% knowledge sharing, and you are expected to push the velocity ceiling of what one engineer can deliver.

Core Technical Domains

You will build and scale the following critical healthcare systems:

  • EMR & Clinical Data Engine: Implementing high-availability Electronic Medical Record (EMR) systems with complex data modeling for patient history and clinical notes.
  • AI Clinical Copilot: Integrating LLMs to automate clinical documentation, summarize patient charts, and surface actionable insights for providers.
  • Prescription Management (e-Prescribing): Building secure, auditable workflows for medication orders, pharmacy integrations, and state-machine-based fulfillment tracking.
  • Virtual Care Infrastructure: Implementing real-time patient-provider interfaces, including WebRTC video, secure messaging, and async consultation flows.
  • E-commerce & Checkout: Engineering high-conversion storefront experiences, including complex product catalogs, subscription billing models, and dynamic pricing engines.
Key Responsibilities
  • AI-Augmented Development: Use Cursor, Copilot, and LLM APIs as first-class engineering tools - not as an afterthought. Generate, validate, and iterate on code at machine speed.
  • Claude Agent Team Orchestration: Design and operate teams of Claude agents to parallelize engineering work - breaking large tasks into agent-
  • executable subtasks, managing context handoffs between agents, and coordinating outputs into coherent, production-ready deliverables. This is a core competency, not a bonus.
  • Full-Stack Feature Ownership: Drive end-to-end delivery across Node.js backends and Next.js frontends, from schema design to production deployment.
  • LLM Product Integration: Build and iterate on AI-powered product features - prompt pipelines, RAG architectures, structured output parsing, and agentic workflows embedded into clinical and consumer interfaces.
  • Production Quality: Maintain high standards for API contracts, database schema migrations, CI/CD pipelines, and observability. AI-generated code is your code - you own its correctness.
  • Compliance & Security: Ensure all systems meet HIPAA/SOC2 standards, focusing on data encryption, audit logs, and PII protection.
Required Hard Skills & Tech Stack

Backend & API:

  • Node.js & TypeScript: Strong command of async patterns, event-driven architecture, and runtime performance.
  • API Design: Proficiency in RESTful, GraphQL, and TypeSafe APIs (tRPC).
  • Database: Solid PostgreSQL fundamentals (joins, indexing, migrations) and Redis for caching.

Frontend:

  • Next.js & React: Working knowledge of App Router, Server Components (RSC), and client/server data flow.
  • State Management: Experience with TanStack Query, Zustand, or similar.

AI & Infrastructure:

  • LLM Integration: Hands-on experience integrating OpenAI or Anthropic APIs into production environments - streaming, tool use, structured outputs.
  • Claude Agent Teams: Demonstrated experience building and orchestrating Claude agent teams using the Claude Agent SDK. You know how to decompose a problem, spin up specialized subagents, manage inter-agent communication, and stitch outputs back into a reliable, production-ready result.
  • AI Dev Tooling: Daily active use of Cursor, GitHub Copilot, or equivalent. You have strong opinions about how to prompt effectively.
  • Cloud & DevOps: Familiarity with AWS (EC2, RDS, Lambda, S3), Vercel, and GitHub Actions.
Candidate Qualifications
  • 3+ years of professional software engineering experience.
  • AI-Native Workflow: You can demonstrate, concretely, how AI has changed the way you write and ship software. Portfolio or examples preferred.
  • Full-Stack Range: Comfortable moving between backend logic and frontend implementation without hand-holding.
  • High Agency: Ability to operate in ambiguous environments, self-direct, and make high-leverage decisions without constant supervision.
  • Communication: Professional proficiency in English for technical documentation and async collaboration.
Why Join LumiMeds?
  • AI as Infrastructure: We don't treat AI as a feature - it's woven into how we build, test, document, and ship. You'll be in the right environment to go further than anywhere else.
  • High Complexity: Work on hard engineering problems involving real-time data, complex clinical state machines, and high-stakes reliability.
  • Direct Impact: Your code will directly affect patient outcomes and the efficiency of healthcare providers.

Apply