Job VC
Data Integration Engineer
Technologies
Description
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.
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.