Senior Data Engineer

Design, build, and operate internal data platform infrastructure and services, including distributed workflow systems on Temporal and Airflow, supporting company-wide data operations.

Develop and maintain internal Python libraries and config-driven platform applications enabling teams to author and run ingestion and transformation jobs.

Own administration, governance, reliability, and cost optimization of core data infrastructure components such as Snowflake, dbt Cloud, Airflow, and Kafka.

7+ years of software engineering experience.

Proficiency in at least one programming language such as Go or Python.

Experience with data warehousing, ETL processes, data governance, and SQL data modeling.

Experience designing, operating, and maintaining backend systems or platform applications in production environments.

Experienced in building and operating distributed workflow-based data systems and internal developer platforms.

Strong expertise with modern data stack components like Snowflake, Airflow, dbt, Kafka, and workflow orchestration tools such as Temporal.

Ability to own end-to-end production systems including design, deployment, monitoring, cost governance, and incident response.