About the Role
We are looking for a talented Data Engineer to join our team and help build the next generation of integrated enterprise applications and reporting solutions. This role requires strong integration skills, expertise in cloud-based development, and the ability to design and deliver data-driven insights using modern tools.

You will work on custom integrations, ETL pipelines, and reporting frameworks that connect platforms like Salesforce, Workday, and Deltek Vantagepoint with our Google Cloud-based data warehouse. If you thrive in a fast-paced environment and love solving complex integration challenges, this is the role for you.

Key Responsibilities
Develop and maintain custom integration services between Salesforce, Workday, Deltek Vantagepoint, and other enterprise systems.
Design and implement ETL workflows using Airflow, dbt, and Google Cloud services.
Build and optimize data ingestion pipelines for APIs and ODBC connections.
Create and manage reporting solutions using Power BI and semantic layers.
Deploy and manage applications on Google Cloud Run,



ensuring scalability and reliability.
Collaborate with data engineering teams to maintain BigQuery and Cloud Storage environments.
Implement logging and monitoring for application health and automated alerts.
Ensure compliance with security and role-based access management policies.

Required Skills & Experience
Programming Languages: Python, SQL (advanced), JavaScript (preferred)
Integration Expertise: REST APIs, ODBC, custom sync services
Cloud Technologies: Google Cloud Platform (Cloud Run, Cloud Storage, Cloud Composer, Cloud Scheduler)
Data Engineering Tools: Airflow, dbt, BigQuery
Reporting Tools: Power BI, BI semantic layers
Containerization: Docker, Container Registry
Version Control: Git/GitHub
Strong understanding of ETL frameworks and data modeling
Experience with role-based access management and secure application development

Preferred Qualifications
Experience with Workday, Salesforce, and

📌 Integration Developer (Colombia)
🏢 Straive
📍 Colombia