MDOTM Ltd | AI-Driven Investment Solutions for Asset & Wealth Managers
Data Engineer (US Eastern Time Zone)
New York, New York, United States · Principal
Sponsorship not specifiedDetected 41 days ago
PythonJavaData StructuresSQLNoSQLPostgreSQLMySQLMongoDBAWSMachine LearningData EngineeringAI OrchestrationResearchLeadershipProblem Solving
About the role
- 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.
Responsibilities
- Design, build, and maintain production-grade data pipelines and data-intensive systems
- 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
- Implement and maintain data quality, validation, and monitoring mechanisms across data workflows
- 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.
Requirements
- Degree in Computer Science, Engineering, or a related field.
- Strong understanding of data modeling, SQL, and NoSQL databases
- Experience working with large-scale and time-series datasets in financial contexts, with an understanding of their structure and common data quality challenges
- Experience with workflow orchestration and data pipeline scheduling tools
- Professional proficiency in English.
- Experience with monitoring and visualization tools (e.g., dashboards)
Skills
- Define and evolve data models and storage structures across relational and NoSQL systems
- Contribute to technical decision-making and help define the roadmap for data infrastructure.
Compensation
- Competitive salary & truly flexible work environment.
Apply directly at MDOTM Ltd | AI-Driven Investment Solutions for Asset & Wealth Managers →Create a free account for alerts like thisView MDOTM Ltd | AI-Driven Investment Solutions for Asset & Wealth Managers immigration profile
This listing is sourced directly from MDOTM Ltd | AI-Driven Investment Solutions for Asset & Wealth Managers's careers page and normalized into a canonical job model.