Data Engineer (Remote, US Eastern Time Zone)

MdotM; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

MDOTM Ltd. in the United States is seeking a Data Engineer to design and evolve our core data infrastructure powering analytics, machine learning, and key business decisions.

You will own data flows from ingestion to consumption, ensuring reliability and quality, and collaborate with data scientists and analysts to enable fast, scalable data access across platforms.

Qualifications

• Bachelor's degree in CS, engineering, or related field.
• Strong programming skills in Java or Python (or other JVM-based languages).
• Solid understanding of data modeling, SQL, and NoSQL databases.
• Focus on data quality, validation, and monitoring practices.
• Experience with large-scale time-series data in financial contexts.
• Experience building and maintaining production data pipelines.
• Ability to troubleshoot and optimize production data systems.
• Experience with workflow orchestration and data pipeline scheduling tools.
• Strong problem-solving skills and attention to detail.
• Professional proficiency in English.

Responsibilities

• Design, build, and maintain production-grade data pipelines and data-intensive systems.
• Configure, schedule, and monitor data pipeline execution for reliability and timely delivery.
• Deploy and manage data infrastructure on AWS or on-premises for scalability and cost-efficiency.
• Monitor and optimize relational and NoSQL database performance to ensure efficient data access at scale.
• Ensure reliable ingestion, transformation, and availability of large-scale financial data.
• Implement and maintain data quality, validation, and monitoring across workflows.
• Define and evolve data models and storage structures across relational and NoSQL systems.
• Collaborate with Data Scientists and Analysts for accurate data access for analytics and modeling.
• 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 data infrastructure roadmap.

Skills

Java / Python

Data modeling

SQL & NoSQL

Data quality monitoring

English proficiency

Education

Bachelor's in Computer Science

Tools

MySQL

PostgreSQL

MongoDB

AWS

Job description

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

MDOTM Ltd (FRN: 824056) is an appointed representative of Thornbridge Investment Management LLP (FRN: 713859) which is authorised and regulated by the Financial Conduct Authority.