Employee Success Data Engineer - Snowflake
Core
Build and maintain data foundations, pipelines, and models to power Employee Success analytics and AI-driven agents.
Role type
Data Engineer
Builds
Data pipelines, data models, and graph structures for Employee Success analytics and AI agents.
Domain
People analytics / AI / Cloud Data Platforms
Deliverable
production ML models | product features
Required skills
SQL, Python, Apache Airflow, Snowflake, Informatica IICS, dbt, REST/JSON API protocols, Git, dimensional modeling
Preferred skills
Neo4j, Cypher queries, AWS services (S3, Lambda)
Technologies
Snowflake, Apache Airflow, Python, Informatica IICS, dbt, Neo4j, AWS (S3, Lambda), Git
Responsibilities
Develop and maintain ETL/ELT pipelines; Assist in building and maintaining data models; Support maintaining Neo4j data graphs; Participate in CI/CD workflows; Execute QA testing on pipelines and datasets; Assist in building and maintaining APIs and data connections; Create and maintain technical documentation.
Seniority
Mid-level (5+ years experience)