# Staff Data Engineer - Federal (Auth0)

**Company:** [Okta](https://hotfix.jobs/companies/okta)
**Location:** Bellevue, WA, Chicago, IL, New York, NY, Washington, DC
**Role:** Data Engineering
**Salary:** $174k – $239k/yr
**Experience:** 8+ years
**Skills:** Python, SQL, Snowflake, dbt, Airflow, AWS, Terraform, Kubernetes, ETL, ELT, FedRAMP
**Posted:** 2026-05-01

> Leads architectural evolution of data platform for FEDRamp compliance and builds secure data pipelines for analytics and security in federal environments. Requires 8+ years experience with cloud data infrastructure, Python/SQL, and modern data stack tools like Snowflake and dbt.

## Job Description

## Responsibilities

**Auth0 Data Engineering Pipeline Team:**
- Lead architectural design and evolution of data platform, defining roadmap for future state.
- Drive technical strategy for large-scale platform enhancements, balancing long-term goals with incremental delivery.
- Collaborate with data, platform, and security teams to create unified, secure architecture.
- Produce architectural artifacts including design documents, threat models, and technical specifications.
- Act as technical mentor, conduct code reviews, share best practices.
- Implement foundational components of new architecture with hands-on coding.

**Defensive Cyber Engineering (Security Data Platform):**
- Serve as security SME for solution engineering and architecture reviews.
- Lead efforts to evaluate, design, and implement enterprise security systems and enhancements.
- Build, maintain, and enhance custom automation and cloud infrastructure using Terraform.
- Develop integrations with APIs, cloud platforms (AWS, GCP, Azure), and security infrastructure.
- Write and maintain Python-based scripts and automations for security operations.
- Establish monitoring and alerting for security posture, misconfigurations, and threats.

## Requirements

- 8+ years software development experience, with 5+ years in 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 cloud (AWS preferred).
- Deep knowledge of modern data stack: data warehouses (**Snowflake**), transformation tools (**dbt**), orchestrators (**Airflow**).
- Strong proficiency in **Python** and **SQL**, high code quality and system design standards.
- Excellent communication skills for complex technical topics.
- Passion for secure, reliable, scalable data systems; ability to handle ambiguity.

**Security Focus:**
- 8+ years coding/scripting experience building automation and data pipelines (**Python** required).
- Experience developing/maintaining ETL/ELT pipelines for security data lakes.
- Experience with security teams for log source integration and data ingestion.
- Proven automation of security controls/workflows using cloud-first approach.
- Experience with **Terraform** and IaC tools, CI/CD pipelines.
- Strong collaboration with technical staff, leadership, vendors.

## Nice-to-Haves

- Direct experience with **FEDRamp**, SOC2, HIPAA compliance.
- Hands-on with **Terraform**, **Kubernetes**.
- Experience in government cloud (**AWS GovCloud**).
- Familiarity with IAM domain.
- 2+ years in highly regulated environments (FedRAMP High, IL4/5/6).
- Security clearance (**Secret**, **TS**, **TS/SCI**).

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