Senior Data Engineer - Remote (Aws, Spark, Lakehouse)
Senior/Lead Data Engineer who builds and maintains data pipelines and models for a centralized HR data warehouse, working with Snowflake, DBT, Python, and Airflow and designing semantic layers consumable by BI tools and AI agents; Snowflake Cortex or MCP-based agentic querying experience is a plus.
- Compensation
- Not disclosed
- Location
- Santa Fe, Argentina
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Experience as a Senior/Lead Data Engineer
- Develop and maintain secure, efficient data pipelines using DBT, Python, and Airflow
- Experience with Snowflake
- AWS, Spark, and lakehouse experience
- Design semantic layers that make data consumable by BI tools and AI agents
- Build and maintain data models for a centralized HR data warehouse
Nice to have
- Experience with Snowflake Cortex or MCP-based tooling for agentic querying
Full description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior/Lead Data Engineer to build and maintain the pipelines and data models behind a centralized HR data warehouse. Working in Snowflake, DBT, Python, and Airflow, this person designs semantic layers that make HR data consumable by both BI tools and AI agents. Experience with Snowflake Cortex or MCP-based tooling for agentic querying is a strong plus.
WHAT YOU WILL DO
- Develop and maintain secure, efficient data pipelines using DBT, Py