Washington, District of Columbia, United States Hybrid Employment USD 154,000 - 212,300 Yearly

Okta is hiring a Staff Data Engineer

About the Role

Okta is hiring a Staff Data Engineer for the Federal platform team. In this key technical leadership role, you will architect, build, and maintain our most critical and scalable data solutions within a high-security environment. You'll lead complex projects and collaborate across teams to ensure enterprise-wide data availability, integrity, and security.

What You'll Do

  • Lead the architecture, design, and development of highly scalable data platforms using AWS, Snowflake, dbt (Core and Cloud), and Airflow.
  • Own and manage the team's infrastructure as code (IaC) strategy using Terraform, ensuring consistent, secure, and reproducible environments.
  • Architect, develop, and maintain robust CI/CD pipelines for data platform applications using GitHub and GitLab.
  • Containerize applications and services using Docker to ensure portability and scalability across all environments.
  • Mentor other engineers and drive technical strategy for troubleshooting and resolving complex issues related to data infrastructure, security, and workflows.
  • Define and enforce data security and compliance standards, leading initiatives for vulnerability scanning (e.g., Nessus, Qualys) and patch management.
  • Serve as a subject matter expert, staying updated with the latest trends and technologies in data engineering to guide the team’s technical direction.

What We're Looking For

  • 8+ years in a data engineering role, with proven experience in a senior or lead capacity.
  • Expert-level experience with SQL, ETL/ELT tools (Airflow, dbt), and MPP databases (Snowflake, Redshift).
  • Extensive hands-on experience with AWS services (S3, Lambda, EMR, ECR, EKS).
  • Deep experience designing and working with lakehouse architectures (Databricks) and modern file formats (Iceberg, Delta).
  • Mastery of Terraform for IaC and a strong track record of implementing best practices for CI/CD (GitHub/GitLab) and containerization (Docker).
  • In-depth knowledge of vulnerability scanning tools (Splunk, Nessus, Qualys, Falco) and best practices for securing data platforms.
  • Ability to submit documentation establishing U.S. Person status (e.g., a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee) upon hire.

Nice to Have

  • Experience with Federal government compliance and security requirements is highly desirable.

Technical Stack

  • Cloud: AWS (S3, Lambda, EMR, ECR, EKS)
  • Databases: Snowflake, Redshift
  • Data Tools: dbt, Airflow, Databricks
  • File Formats: Iceberg, Delta
  • Infrastructure: Terraform, Docker
  • CI/CD: GitHub, GitLab
  • Security: Splunk, Nessus, Qualys, Falco
  • Languages: SQL

Team & Environment

This role is part of the Technology, Data, and Intelligence (TDI) organization and the Data Engineering team.

Benefits & Compensation

  • Salary: $154,000—$212,300 USD + equity
  • Health, dental, and vision insurance
  • 401(k) plan
  • Flexible spending account
  • Paid leave (including PTO and parental leave)
  • Equity (where applicable)
  • Bonus

Work Mode

This is a hybrid position open to candidates in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

Required Skills
AWSSnowflakedbtAirflowTerraformSQLRedshiftGitHubGitLabDockerS3LambdaEMRECREKSDatabricksIcebergDeltaCI/CDETL/ELT
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About company
Okta

Okta is a leading identity and access management platform that helps organizations secure their digital interactions and manage user authentication across various systems and applications.

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Job Details
Department Data and Analytics
Category data
Posted 14 days ago