Staff Data Engineer

Based in Bellevue, WA with a hybrid work option, this role offers a competitive compensation package and the chance to influence the architecture of a core data platform at scale. The position carries a salary range of USD 174,000 - 238,700 per year and targets someone with broad data engineering experience to lead secure, reliable data infrastructure across multiple teams.

Benefits and culture

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

Responsibilities

• Lead the architectural design and evolution of our data platform, defining the roadmap for its future state.
• Drive technical strategy for large scale platform enhancements, balancing long term goals with incremental delivery.
• Collaborate deeply with engineers and leaders from data, platform, and security teams to create a unified and secure architecture.
• Produce architectural artifacts, including design documents, threat models, and technical specifications to create clarity and alignment for complex initiatives.
• Act as a technical mentor and force multiplier for the Data Engineering team, elevating performance through guidance, code reviews, and sharing best practices.
• Implement foundational components of new architecture, proving out designs with hands on coding and modeling best practices for other engineers to follow.

Requirements

• A passion for building secure, reliable, and scalable data systems.
• 8+ years of software development experience, with at least 5+ years in a data engineering or data platform role.
• Proven experience designing and delivering large scale, cross functional technical projects.
• Extensive experience architecting and deploying data infrastructure in a cloud environment, with AWS strongly preferred.
• Deep architectural knowledge of the modern data stack, including data warehouses (Snowflake), transformation tools (dbt), and orchestrators (Airflow).
• Strong proficiency in Python and SQL, with a high bar for code quality and system design.
• Excellent communication skills, capable of creating clarity and driving decisions on complex technical topics.
• The ability to navigate ambiguity, define a path forward, and lead others to successful outcomes.

Technologies

• Python
• SQL
• Snowflake
• dbt
• Airflow
• AWS
• Terraform
• Kubernetes
• AWS GovCloud

The Okta Data Engineering Team

• Pipeline team, sitting closer to the Platform team and data producers and in charge of efficient data ingestion and quick access to unmodeled data
• Warehouse team sitting closer to business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away complexity for data consumers
• Interface team responsible for creating and managing connections between the data platform and various external systems, ensuring consistent and reliable data access

The Okta Experience

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

Extra credit if you have experience in any of the following

• Direct experience with security compliances like FEDRamp, SOC2, or HIPAA
• Hands-on experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes)
• Experience working in government cloud environments (AWS GovCloud)
• Familiarity with the Identity Access & Management (IAM) domain