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Remote European Time Zone Jobs (NOW HIRING)

Data Engineer (US Eastern Time Zone)

New York, NY ยท Remote

$117K - $140K/yr

... only European fintech startup selected by Google for its acceleration program in Silicon Valley ... Ensure reliable ingestion, transformation, and availability of large-scale and time-series ...

Clinical Support Specialist - Pacific Time Zone

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The role will be for the Pacific Time Zone with a shift of Mon-Fri, 8am - 5pm pt. *The role will ... Conducts scheduled video remote pump trainings per Customer Training and Documentation Procedures ...

$12.75 - $16.50/hr

Ability to work remotely from Germany or within the supported European time zones; visa sponsorship or relocation assistance is not provided. Benefits * 100% remote work: Work from home in a fully ...

New

Customer Support Engineer

New York, NY ยท Remote

$40K - $65K/yr

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role can be based remotely, supporting customers across European time zones alongside our existing US-based team, with core support hours of 6am-12pm Eastern Standard Time. Responsibilities ...

$5.0K - $6.5K/mo

Flexible remote working structure with collaboration across European time zones. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

Position Type: Entry level, Remote, Contracted * * Event to event basis * Rate: $22 USD / hr ... night (US time zone) coverage support needed for European events. European live event coverage ...

Showing results 41-60

Remote European Time Zone information

See salary details

$23.5K

$57.5K

$74K

How much do remote european time zone jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote european time zone in the United States is $57,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $65,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote European Time Zone vs Remote Customer Support Specialist?

AspectRemote European Time ZoneRemote Customer Support Specialist
CredentialsVaries, often includes language skills and basic tech knowledgeCustomer service experience, communication skills, possibly certifications in support tools
Work EnvironmentRemote, flexible hours aligned with European time zonesRemote, customer-facing roles requiring shift flexibility
Industry UsageCommon in tech, marketing, and consulting firms serving European clientsWidely used across retail, tech, and service industries

The Remote European Time Zone refers to working hours aligned with European countries, often requiring flexibility for different countries' schedules. Remote Customer Support Specialists focus on assisting customers remotely, often with specific language and communication skills. While both roles are remote, the European Time Zone role emphasizes time zone alignment, whereas the Customer Support role emphasizes customer interaction skills.

What does it mean to work a remote European Time Zone job?

A Remote European Time Zone job refers to a position that allows employees to work from any location, provided they can adhere to the typical business hours within European time zones (such as Central European Time or Eastern European Time). This means your work schedule will align with companies and colleagues based in Europe, regardless of your physical location. These roles are ideal for people living in or near Europe or those who can comfortably work during European business hours. Employers often require this to ensure smooth communication and collaboration within their teams.

What are the key skills and qualifications needed to thrive in a remote role based in the European Time Zone?

To excel in a remote role based in the European Time Zone, strong self-management, time management, and relevant professional expertise are essential, often supported by experience in remote work environments. Familiarity with collaboration tools like Slack, Zoom, Microsoft Teams, and project management systems such as Asana or Trello is typically required. Excellent communication, adaptability, and proactive problem-solving make professionals stand out in distributed teams. These skills enable effective collaboration, productivity, and seamless coordination across locations and time zones.

What are some common challenges faced by remote employees working across European time zones?

Remote employees working in European time zones often face the challenge of coordinating with colleagues and clients who may be located in different countries, each with their own local holidays and working hours. Communication across multiple time zones requires careful scheduling and flexibility, especially when collaborating on projects with international teams. Additionally, establishing a healthy work-life balance can be difficult when working from home, making it important to set boundaries and create a dedicated workspace. Many companies provide tools and resources to help remote workers stay connected, manage their tasks, and maintain productivity.
More about Remote European Time Zone jobs

What cities are hiring for Remote European Time Zone jobs?

Cities with the most Remote European Time Zone job openings:

What are the most commonly searched types of European Time Zone jobs?

The most popular types of European Time Zone jobs are:

What states have the most Remote European Time Zone jobs?

States with the most job openings for Remote European Time Zone jobs include:

Infographic showing various Remote European Time Zone job openings in the United States as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $57,529 per year, or $27.7 per hour.

Data Engineer (US Eastern Time Zone)

MDOTM

New York, NY โ€ข Remote

$117K - $140K/yr

Full-time

Re-posted 3 days ago


Job description

About MDOTM

MDOTM is the Global leader in AI-driven investment solutions. ​​Founded in 2015, we earned significant recognition in 2017 as the only European fintech startup selected by Google for its acceleration program in Silicon Valley.
Since then, we have been growing continuously, establishing a strong international presence with offices in London, Milan and New York.
If you are looking for a fast-paced environment and are willing to take ownership, this is the right opportunity for you!


Role Overview

We are looking for a Data Engineer to play a key role in shaping and scaling our platform as the organization grows in complexity and data maturity.

In this role, you will be responsible for designing and evolving the core data infrastructure that powers analytics, machine learning, and critical business decisions. You will take ownership of how data flows across the company, from ingestion to consumption, ensuring it is reliable, well-modeled, and accessible to a wide range of stakeholders.


Key Responsibilities

  • Design, build, and maintain production-grade data pipelines and data-intensive systems
  • Configure, schedule, and monitor data pipeline execution to ensure reliability, maintainability, and timely delivery across all data processes
  • Deploy and manage data infrastructure on AWS or on-premises, ensuring scalability, security, and cost-efficiency
  • Monitor and optimize relational and NoSQL database performance (e.g., MySQL, PostgreSQL, MongoDB) to ensure efficient querying, indexing, and data access at scale
  • Ensure reliable ingestion, transformation, and availability of large-scale and time-series financial data, considering financial-specific data quality characteristics.
  • Implement and maintain data quality, validation, and monitoring mechanisms across data workflows
  • Define and evolve data models and storage structures across relational and NoSQL systems
  • Collaborate with Data Scientists and Analysts to ensure accurate and efficient data access for analytics and modeling use cases
  • Optimize data processing workflows for performance, reliability, and operational stability
  • Troubleshoot complex data issues and drive root cause analysis.
  • Contribute to technical decision-making and help define the roadmap for data infrastructure.


Requirements

  • Degree in Computer Science, Engineering, or a related field.
  • Strong programming skills in Java or Python (or other JVM-based languages)
  • Strong understanding of data modeling, SQL, and NoSQL databases
  • Strong focus on data quality, validation, and monitoring practices
  • Experience working with large-scale and time-series datasets in financial contexts, with an understanding of their structure and common data quality challenges
  • Experience building and maintaining production data pipelines or data-intensive systems, with focus on reliability and performance
  • Ability to troubleshoot and optimize production data systems
  • Experience with workflow orchestration and data pipeline scheduling tools
  • Solid understanding of financial data structures and concepts, with the ability to model and validate financial data accurately
  • Strong problem-solving skills and attention to detail.
  • Professional proficiency in English.


Bonus Points

  • Experience with monitoring and visualization tools (e.g., dashboards)
  • Exposure to machine learning workflows and related data requirements


Why Join Us?

  • Work at the leading edge of technology, leveraging our decade of experience in proprietary AI to build the next generation of industry-defining tools.
  • Competitive salary & truly flexible work environment.
  • Benefit from an unlimited learning and development budget to stay at the bleeding edge of AI research, alongside a fast-track path into technical leadership or principal research roles.
  • Collaborate daily with an ultra-international team (18+ nationalities) spread across our offices in Milan, London and New York.
  • Annual company retreat at a stunning location.
  • Fast-track career progression, with opportunities to grow into leadership roles.