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Time Zone Jobs (NOW HIRING)

MDOTM

Data Engineer (US Eastern Time Zone)

New York, NY · On-site

$125K - $150K/yr

Ensure reliable ingestion, transformation, and availability of large-scale and time-series financial data, considering financial-specific data quality characteristics. * Implement and maintain data ...

Expovision

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Hotel Contracts Coordinator (EST/EDT Time Zone only)

Herndon, VA · Remote

Prefer Local candidates - Remote position working from home. However, candidates must be on the same time zone (EDT) as the company. EOE. Company Description Expovision is a hotel reservation ...

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$23.5K

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How much do time zone jobs pay per year?

As of Jul 21, 2026, the average yearly pay for 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 Time Zone vs Data Analyst?

AspectTime ZoneData Analyst
Required CredentialsNone specific, often basic educationBachelor's degree in statistics, data science, or related field
Work EnvironmentRemote or office-based, flexible hoursOffice or remote, collaborative teams
Industry UsageUsed across industries for scheduling and coordinationUsed in finance, marketing, healthcare, and more for data insights
Common Search/ComparisonOften compared for scheduling or global operationsCompared for data analysis skills and job roles

Time Zone and Data Analyst are distinct roles; Time Zone refers to geographic regions for scheduling, while Data Analyst involves analyzing data to support business decisions. Understanding their differences helps clarify job expectations and industry applications.

What are the key skills and qualifications needed to thrive as a Time Zone Specialist, and why are they important?

To thrive as a Time Zone Specialist, you need expertise in global time zone standards, strong analytical skills, and a background in scheduling or logistics. Familiarity with time zone conversion tools, calendar management systems, and world clock databases is typically required. Attention to detail, effective communication, and adaptability are crucial soft skills for managing complex international schedules. These competencies ensure accurate coordination across regions, prevent scheduling conflicts, and support seamless global operations.

What are Time Zone jobs?

Time Zone jobs refer to employment opportunities that are specifically related to managing, coordinating, or supporting activities across different time zones. These roles are common in global organizations where teams and clients are spread across various regions, requiring employees to work asynchronously or adapt their schedules. Time Zone jobs may involve project management, customer support, technical roles, or any position where understanding and managing time differences is crucial for business operations. People in these roles often use tools and software to keep track of multiple time zones and facilitate smooth communication between teams. Flexibility and strong organizational skills are important for success in these positions.

What are some common challenges faced by professionals working in international time zone coordination roles?

Professionals responsible for international time zone coordination often face challenges such as managing meetings and project deadlines across multiple time zones, which can lead to scheduling conflicts and communication delays. They must be adept at using digital tools and calendars to avoid errors and ensure all stakeholders are informed of timing differences. Additionally, these roles require strong organizational skills, cultural sensitivity, and flexibility to accommodate colleagues or clients in various regions, sometimes necessitating work outside typical business hours.

What is a Time Zone job?

A Time Zone job typically refers to a role that requires working across different time zones or managing schedules in various regions. This could involve coordinating with international teams, providing customer support across global markets, or ensuring business operations run smoothly in different time zones. Such jobs often require flexibility, strong communication skills, and an understanding of time zone differences to prevent scheduling conflicts.

More about Time Zone jobs
What cities are hiring for Time Zone jobs? Cities with the most Time Zone job openings:
What are the most commonly searched types of Time Zone jobs? The most popular types of Time Zone jobs are:
What states have the most Time Zone jobs? States with the most job openings for Time Zone jobs include:
What job categories do people searching Time Zone jobs look for? The top searched job categories for Time Zone jobs are:
Time Zone jobs near you
Infographic showing various Time Zone job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% 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 • On-site

$125K - $150K/yr

Full-time

Re-posted 9 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.

Apply