Senior Data Engineer
Okta · Posted Sep 12
Cloud-based identity and access management solutions for workforce and customer security
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About the role
The Data Engineering team sits within Okta's Technology Data & Intelligence organization, on a mission to accelerate Okta's scale and growth by building platforms and capabilities used across sales, marketing, engineering, finance, product, and operations. As a Senior Data Engineer, you will design, build, and maintain scalable data solutions, collaborating with data engineers, analysts, scientists, and other engineers to ensure data availability, integrity, and security. You will play a critical role in preparing Okta for its AI-driven future by building stable data layers and partnering with Analytics Engineers to power AI/ML systems.
What you will do
- Design and Develop Scalable Platforms: Build and maintain scalable data platforms using AWS, Snowflake, dbt, and Databricks.
- Infrastructure as Code: Utilize Terraform to manage infrastructure as code, ensuring consistent and reproducible environments.
- CI/CD Management: Develop and maintain CI/CD pipelines for data platform applications using GitHub and GitLab.
- AI/ML Infrastructure: Engineer robust data pipelines that fuel high-performance AI and ML models by delivering reliable, feature-rich datasets.
- Data Governance & Strategy: Implement comprehensive data governance frameworks to ensure data lineage, compliance, and quality across all analytical platforms.
- Security & Compliance: Conduct vulnerability scans, apply necessary patches, and ensure data security meets industry standards.
- Innovation: Explore cutting-edge tools like "data engineer agents" to automate routine tasks and free up time for high-leverage, custom pipelines.
- Cross-Functional Collaboration: Partner with product managers, UX designers, and other developers to deliver end-to-end solutions.
Skills used in this role
What the employer is looking for
- Education: BS in Computer Science, Engineering, or another quantitative field of study.
- Experience: 5+ years of professional experience in a data engineering or full-stack role.
- SQL & ETL Mastery: Expert-level knowledge of SQL, ETL tools such as Airflow and dbt, and relational/columnar MPP databases like Snowflake or Redshift.
- Cloud Infrastructure: Hands-on experience with AWS (S3, Lambda, EMR, EC2, EKS).
- Modern Data Architecture: Experience with lakehouse architectures (Databricks) and file formats like Iceberg and Delta.
- Containerization: Proficienc...
Benefits and support
- Compensation and benefits are detailed in the job posting
About Okta
Okta is a leading independent provider of cloud-based identity and access management solutions that securely connect people and technologies to the right applications. The company powers both Workforce Identity and Customer Identity platforms, allowing organizations to securely manage user access and navigate modern challenges like agentic AI security.
- Industry
- Enterprise Software
- Company size
- 7500+ employees
- Founded
- 2009
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $228M raised
- 2010-02-01Series A$10M
- 2011-08-01Series B$16.5M
- 2012-12-01Series C$25M
- 2013-09-01Series D$27M
- 2014-06-01Series E$75M
- 2015-09-01Series F$75M
- 2018-02-21Post IPO Debt$300M
Leadership
Co-Founder and Chief Executive Officer
Co-Founder and Executive Vice Chairman
Chief Marketing Officer
Chief Legal Officer
Recent coverage
StockTitan
Industry Leaders Form the Blueprint Alliance to Advance a Shared Architecture for Securing AI Agents2026-09-22
StockTitan
Okta Names Helen Riley to Board of Directors2026-09-18
ValueAdd VC
Okta Buys AI Identity Security Startup Permiso for ~$200M2026-07-30
StockTitan
Okta Announces Second Quarter Fiscal Year 2027 Financial Results2026-08-26