remote
Staff Data Engineer - Okta
Data Engineer
Lead the design and delivery of scalable data pipelines and analytics platforms, leveraging Python, SQL, Snowflake, Airflow, and AWS to enable organization‑wide insights and support rapid product innovation.
About the role
Key Responsibilities
- Architect, build, and maintain high‑performance data pipelines that ingest, transform, and store large‑scale event streams.
- Design and optimize data models in Snowflake to support self‑service analytics and reporting across the organization.
- Implement robust ETL workflows using Apache Airflow, ensuring reliability, observability, and automated recovery.
- Collaborate with product, security, and analytics teams to translate business requirements into scalable data solutions.
- Drive best practices for data quality, governance, and security within AWS cloud environments.
Requirements
- 5+ years of hands‑on experience building data pipelines and analytics platforms in a cloud‑native environment.
- Proficiency in Python and SQL, with a strong track record of performance tuning and optimization.
- Deep experience with Snowflake (or comparable cloud data warehouse) and Airflow for orchestration.
- Solid understanding of AWS services (S3, Redshift, Lambda, IAM) and data security best practices.
- Demonstrated ability to lead technical initiatives, mentor engineers, and deliver production‑grade solutions at scale.
Skills
pythonsqlsnowflakeaws