Senior Full Stack Engineer (Python & Next.js) with Data Integration

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

Job summary

EPAM Systems Inc. seeks a Senior Full Stack Engineer to support the Data Team, aligning with Investment Systems Engineering to manage entity, portfolio, and security reference data across the investment lifecycle.

You will design, develop, and maintain full-stack applications for reference data management, build robust backend services, and craft intuitive frontend interfaces for data workflows. Collaboration with global teams and a strong emphasis on testing and architecture will define success.

Qualifications

• 7+ years of experience with Python, FastAPI, Next.js, React, TypeScript, SQL, and Docker.
• Experience designing and implementing RESTful APIs and event-driven integrations using Kafka.
• Knowledge of SQL and relational databases, preferably PostgreSQL, Microsoft SQL Server, or equivalent.
• Experience with data modeling, data validation, and integration patterns.
• Experience with data integration, ETL/ELT, and Python data pipelines.
• Working experience with Kubernetes clusters and applications deployed as containers using Ubuntu-based images.
• Strong commitment to test automation, including robust unit and manual integration testing.
• Experience working in agile teams on complex, high-stakes applications.
• Collaborative mindset, with a commitment to code reviews and peer learning.
• Comfortable working with teams across the globe.
• Familiarity with Atlassian tools (Jira, Confluence, etc.)
• System design expertise across microservices, database modeling, and API design.
• English proficiency at B2 level or higher.

Responsibilities

• Design, develop, and maintain full-stack applications supporting reference data management and investment-related workflows.
• Build robust backend services, APIs, and data-processing components.
• Develop intuitive, responsive frontend interfaces for data management, validation, search, review, and operational workflows.
• Deliver data integration solutions supporting the management and distribution of entity, portfolio, and security reference data.
• Establish reliable data relationships between investment entities, funds, portfolios, securities, issuers, counterparties, and related financial instruments.
• Support workflows such as reference data onboarding, enrichment, validation, approval, reconciliation, and downstream distribution.
• Collaborate with investment and operations stakeholders to understand how reference data supports the investment lifecycle.
• Design and implement RESTful APIs and, where appropriate, event-driven integrations.
• Integrate reference data services with internal investment platforms, data warehouses, and enterprise applications.
• Work with relational databases and data services to support efficient data access and processing.
• Implement data transformation, validation, and synchronization processes across systems.
• Lead refactoring and redesign initiatives, architecting for resiliency, compliance, and auditability.

Skills

Python

FastAPI

Next.js

React

TypeScript

SQL

Docker

Kafka

REST APIs

Event-driven

Tools

Jira

Confluence

Job description

We are seeking a Senior Full Stack Engineer to support the Data Team, which aligns with Investment Systems Engineering to bring entity, portfolio, and security reference data closer to the investment lifecycle.

Responsibilities

• Design, develop, and maintain full-stack applications supporting reference data management and investment-related workflows
• Build robust backend services, APIs, and data-processing components
• Develop intuitive, responsive frontend interfaces for data management, validation, search, review, and operational workflows
• Deliver data integration solutions supporting the management and distribution of entity, portfolio, and security reference data
• Establish reliable data relationships between investment entities, funds, portfolios, securities, issuers, counterparties, and related financial instruments
• Support workflows such as reference data onboarding, enrichment, validation, approval, reconciliation, and downstream distribution
• Collaborate with investment and operations stakeholders to understand how reference data supports the investment lifecycle
• Design and implement RESTful APIs and, where appropriate, event-driven integrations
• Integrate reference data services with internal investment platforms, data warehouses, and enterprise applications
• Work with relational databases and data services to support efficient data access and processing
• Implement data transformation, validation, and synchronization processes across systems
• Lead refactoring and redesign initiatives, architecting for resiliency, compliance, and auditability

Requirements

• 7+ years of experience with Python, FastAPI, Next.js, React, TypeScript, SQL, and Docker
• Experience designing and implementing RESTful APIs and event-driven integrations using Kafka
• Knowledge of SQL and relational databases, preferably PostgreSQL, Microsoft SQL Server, or equivalent
• Experience with data modeling, data validation, and integration patterns
• Experience with data integration, ETL/ELT, and Python data pipelines
• Working experience with Kubernetes clusters and applications deployed as containers using Ubuntu-based images
• Strong commitment to test automation, including robust unit and manual integration testing
• Experience working in agile teams on complex, high-stakes applications
• Collaborative mindset, with a commitment to code reviews and peer learning
• Comfortable working with teams across the globe
• Familiarity with Atlassian tools (Jira, Confluence, etc.)
• System design expertise across microservices, database modeling, and API design
• English proficiency at B2 level or higher

Nice to have

• Experience with GitHub Actions, Jira-GitHub integrations, and DevOps best practices
• Prior exposure to financial services or capital market domains