Data Integration Engineer

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in integration development or backend/API engineering roles.
• Experience building data integration pipelines using iPaaS or ETL platforms (e.g., Boomi, Talend, SnapLogic, NiFi, Azure Data Factory, etc.).

— Experience working with databases:

• Strong SQL and PL/SQL knowledge (Oracle and PostgreSQL).
• Understanding of stored procedures, views, and DB packages.

— Hands-on experience with:

• RESTful APIs and JSON data structures.
• One or more of the following: JavaScript (Node.js), Python, Java.
• Tools such as Postman, curl, Bruno for API testing.
• Scripting in Bash, Python, or other automation tools.
• Experience with cloud storage and APIs (e.g., AWS S3, AWS Lambda).
• Familiarity with file-based integrations (e.g., CSV over sFTP) and scheduling processes.
• Solid problem-solving skills and the ability to analyze legacy integration logic.
• Ability to work independently and collaborate with cross-functional teams.

Nice to Have

• Familiarity with Ellucian Banner, Ethos API, or other Student Information Systems (SIS) is a strong plus.
• Experience migrating on-prem integrations to cloud or SaaS platforms.
• Understanding of GraphQL and its use in modern data access layers.
• Experience with DevOps practices, including CI/CD pipelines, Docker, and GitLab/GitHub Actions.
• Exposure to reporting and Business Intelligence tools (e.g., Cognos, Argos, Tableau, Metabase).

Responsibilities

Integration and Data Engineering

• Design, develop, and maintain integration solutions that align with business and technical requirements.
• Work with REST APIs, web services, middleware, and messaging systems to connect disparate applications and platforms.
• Build and optimize data pipelines for data exchange and analytics.
• Develop data mappings and transformation logic to ensure accuracy and consistency across systems.
• Create and maintain integrations between databases, cloud storage, and analytical platforms.
• Design and implement data extraction and transformation processes to support reporting and business intelligence use cases.
• Support development of visualizations and data flows within large-scale SaaS enterprise systems.

Collaboration and Support

• Collaborate with software engineers, business analysts, and stakeholders to gather integration — requirements and ensure alignment with business objectives.
• Conduct testing, performance tuning, and optimization of integration and reporting solutions.
• Document integration architectures, workflows, and best practices for operational and technical transparency.

We offer:

• Regular performance-based salary reviews.
• Flexible schedule and the option to work remotely.
• Paid vacation, sick leave, and public holidays.
• Health insurance or sports compensation after the probation period.
• Partial reimbursement for English language courses.
• Decent salary, tax assistance.
• ⁠Friendly teams, experienced colleagues, and perfect work equipment.