#133206 - Senior Data Engineer

We are seeking a Senior Data Engineer to build and maintain secure, reliable, and scalable data pipelines, warehouse models, and analytical datasets supporting people insights. This role combines hands-on data engineering with data modeling, platform reliability, semantic-layer design, and governed access for both business intelligence tools and AI-enabled interfaces.

Enterprise experience strongly preferred.

Key Responsibilities

- Develop and maintain secure, efficient data pipelines using dbt, PySpark, and Python applications.

- Build extraction, transformation, and loading infrastructure using Python, dbt, Terraform, AWS Glue, Amazon EMR, and Amazon S3.

- Integrate data from APIs, cloud systems, Google Sheets, and other structured sources.

- Create and maintain Snowflake warehouse models, datamarts, and analytics-ready datasets.

- Develop automated data-quality tests and improve internal data-engineering processes.

- Monitor production pipelines and help maintain a 99.5% uptime objective.

- Design semantic views, ontology layers, business-friendly entities, relationships, and certified metrics over warehouse models.

- Build governed natural-language data experiences using Snowflake Cortex Analyst, Cortex Search, or equivalent LLM-native query layers.

- Configure secure Model Context Protocol connections or comparable interfaces between governed data sources and internal AI tooling.

- Document data models, pipelines, business logic, operational procedures, and technical decisions comprehensively.