Staff Data Engineer

Okta; Chicago (IL); Hybrid; USD 175,000 - 237,000; Full time

Benefits offered by this job

Well-being benefits

Social impact initiatives

Talent development & community

Job summary

Okta is seeking a Staff Data Engineer to join the Auth0 Data Engineering Team in Chicago, IL on a hybrid schedule. This role leads the architectural evolution of the core data platform, starting with FEDRamp compliance, and drives scalable, secure designs across multiple teams.

The position offers a salary range of USD 174,000 to 238,700 per year, with benefits emphasizing well-being, social impact, and talent development.

Qualifications

• 8+ years of software development experience with 5+ years in data engineering or data platform roles.
• Experience delivering large-scale, cross-functional technical projects.
• Strong Python and SQL skills with emphasis on code quality and system design.
• Experience architecting data infrastructure in a cloud environment (AWS preferred).
• Familiarity with Snowflake, dbt, Airflow and orchestration tooling is a plus.
• Excellent communication to drive decisions on complex technical topics.

Responsibilities

• Lead the evolution of the core data platform and architectural roadmap.
• Set technical direction for large-scale platform improvements and deliver incrementally.
• Collaborate with data, platform, and security teams to ensure secure architecture.
• Create design documents, threat models, and specs for complex initiatives.
• Mentor Data Engineering team and elevate performance through code reviews and guidance.
• Build foundational components and model hands-on coding as a working example.

Skills

Python

SQL

Data engineering

Cloud architecture

Architectural design

Leadership

Communication

Tools

Snowflake

dbt

Airflow

AWS

Terraform

Kubernetes

Job description

Okta is seeking a Staff Data Engineer to join the Auth0 Data Engineering Team in Chicago, IL on a hybrid schedule. This role leads the architectural evolution of the core data platform, starting with FEDRamp compliance, and drives scalable, secure designs across multiple teams. The position offers a salary range of USD 174,000 to 238,700 per year, with benefits that emphasize well-being, social impact, and talent development within a collaborative culture.

Benefits

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

The Auth0 Data Engineering Team

• Pipeline team - sits near the Platform team and data producers, responsible for efficient data ingestion and rapid access to unmodeled data
• Warehouse team - aligns with business teams and data consumers, modeling data in the data warehouse to abstract complexity and simplify analysis, reporting, and decision‑making
• Interface team - builds and manages connections between the data platform and external systems to ensure consistent and reliable data access

Responsibilities

• Spearhead the evolution of the core data platform, shaping the long‑term architectural roadmap
• Set the technical direction for large‑scale platform improvements, balancing visionary goals with incremental delivery
• Collaborate with engineers and leaders across data, platform, and security to deliver a cohesive and secure architecture
• Create architectural artifacts such as design documents, threat models, and technical specifications to drive clarity and alignment on complex initiatives
• Serve as a technical mentor and multiplier for the Data Engineering team, elevating performance through guidance, code reviews, and sharing best practices
• Build foundational components of the new architecture, validating designs with hands‑on coding and serving as a model for other engineers

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, with the ability to create clarity and drive decisions on complex technical topics
• Ability to deal with ambiguity, define a path forward, and lead others to successful outcomes

Technologies

Technologies: Snowflake, dbt, Airflow, Python, SQL, AWS, Terraform, Kubernetes