Data Engineer

Role & responsibilities:

We're hiring a Data Engineer to join an ongoing client data pipeline project built on

SQL, Snowflake, and dbt. This is a full-time role with potential for long-term growth

based on performance.

Key responsibilities:

- Build and maintain data models using dbt (staging, intermediate, and mart layers)

- Write and optimize SQL queries against Snowflake, including joins, CTEs, and

window functions

- Design and implement dbt tests to ensure data quality and catch issues early

- Debug pipeline issues such as data freshness gaps, incremental load failures, and

performance bottlenecks

- Collaborate closely with a senior engineer on architecture decisions and code review

- Communicate clearly on progress, blockers, and technical trade-offs

Preferred candidate profile:

- 1-4 years of hands-on experience with SQL and Snowflake

- Working experience with dbt models, tests, and project structure

- Strong SQL fundamentals: joins, CTEs, window functions, query optimization

- Ability to explain your technical reasoning clearly and defend your design choices

- Python knowledge for scripting or orchestration is a plus

We're looking to fill this role quickly - candidates available to start immediately or within 1-2 weeks will be prioritized.