Related skills
snowflake sql python dbt airflow📋 Description
- Build and operate scalable data systems and pipelines from ingestion to modeling and visualization.
- Develop end-to-end data products and pipelines (batch/streaming) to collect, clean, transform data.
- Implement infra-as-code, CI/CD, and tooling for data products (Pulumi/Terraform, GitHub, Dagster/Airflow) for safe builds across environments.
- Improve security, compliance, and cost posture of the data stack via IAM/secrets hardening, observability, and optimization.
- Partner with product and stakeholders to uncover requirements and improve the data platform and processes.
🎯 Requirements
- 6+ years data engineering with Python and SQL; scalable batch/streaming pipelines.
- Experience with Dagster, Airflow, dbt, Snowflake, Spark, Kafka.
- AWS data platforms and Snowflake; GitHub, Argo, Jenkins collaboration.
- Design robust data models and transformations in Snowflake/dbt; self-service tooling.
- Explain technical concepts to mixed audiences; mentor engineers; maintain clarity.
- Curious, ownership minded; focus on architecture and quality in a fast-moving environment.
🎁 Benefits
- Comprehensive healthcare plans
- Family building benefits (fertility/adoption support)
- Flexible time off
- OneMedical memberships for you and dependents
- 401(k) with employer match
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