Senior Data Engineer

Develop and maintain core data warehouse structure and help with the transition to a lakehouse.

Evaluate existing Snowflake workloads and identify candidates for migration, optimization, or hybrid operation.

Develop and maintain dbt models across staging, intermediate, mart, and semantic layers, following established project structure, testing, and documentation standards.

Build and maintain data pipelines that ingest data from source systems into Snowflake, collaborating with platform and analytics teams on requirements and priorities.

Write and optimize SQL transformations for performance, readability, and maintainability within Snowflake.

Contribute to data quality and reliability efforts, including schema validation, source freshness checks, row-level testing, and pipeline monitoring.

Participate in CI/CD processes for data, including automated testing, code review, and deployment practices using Git-based workflows.

Contribute to Snowflake and cloud infrastructure configuration, including warehouse sizing, access patterns, and integration with surrounding services, under the guidance of senior engineers.

Support orchestration workflows and data pipeline scheduling, helping ensure pipelines run reliably and recover gracefully from failures.

Participate in design reviews, offering input on implementation approaches and learning from senior engineers’ architectural decisions.

Troubleshoot and resolve pipeline and data quality issues, conduct root cause analysis and implement fixes.

Document work clearly, including data models, pipelines, and operational runbooks, so the broader team can understand and maintain what you build.

5+ years of experience in data engineering, analytics engineering, or a closely related technical field.