The Integration Engineer is responsible for designing, developing, and maintaining integrations between applications, platforms, and data systems using RESTful APIs. They will collaborate with cross-functional teams to ensure reliable data exchange, system interoperability, and secure communication.
The Data Engineer will design, build, and maintain scalable ETL/ELT pipelines using Snowflake and Apache Airflow to support organizational data needs. They will also collaborate with cross-functional teams to optimize data processing, ensure data quality, and automate recurring engineering tasks.
Develop, test, maintain, and improve Tableau dashboards and reporting solutions that turn data from multiple sources into actionable operational and management insights. Collaborate with technical teams and stakeholders to support NLP document classification interfaces, validate data and reporting functionality, troubleshoot issues, and follow security and privacy requirements.
Support the development, testing, maintenance, and monitoring of data pipelines, integrations, and automated data processes under the guidance of senior engineers. Collaborate with engineering and project teams to validate data, troubleshoot issues, document work, and improve workflow reliability while following established security and development practices.
Develop, maintain, and execute automated and manual tests to validate application functionality, performance, and reliability, and document defects with clear reproduction details. Collaborate with developers and QA teams throughout the software development lifecycle to troubleshoot issues, retest fixes, maintain test documentation, and improve test coverage and automation practices.
