Data Integration Engineer
We are seeking a proactive Data Integration Engineer to join our dynamic team. The role involves designing and maintaining integration pipelines, working with APIs, databases, and cloud platforms, and collaborating with cross-functional teams. We’re looking for an active contributor with strong problem-solving skills, hands-on experience in integration development, and the drive to take ownership of projects.
Our client is a leading provider of software and technology solutions for higher education. From student information systems and enrollment management to finance, HR, and analytics, their products empower universities and colleges to operate more efficiently and deliver a better experience for students.
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 packagesHands-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
- This is a fully remote position, however, candidates must be physically located in Poland or Ukraine
Will be a plus
- 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