Senior Data Engineer

Secure Every Identity from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. Were all in on this mission. If you are too lets talk.

Secure Every Identity from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. Were all in on this mission. If you are too lets talk.

The Data Engineering Team

Our Data Engineering team is part of the Technology Data & Intelligence organization on a mission to accelerate Oktas scale and growth. We focus on building platforms and capabilities utilized across the organization by sales marketing engineering finance product and operations. You will be part of a team performing detailed technical designs development and implementation of applications using cutting-edge technology stacks.

The Senior Data Engineer Opportunity

As a Senior Data Engineer you will be responsible for designing building and maintaining scalable solutions. This role involves 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 our AI/ML systems.

What youll be doing

• 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.

What youll bring to the role

• 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: Proficiency with Docker and Kubernetes for packaging and distributing applications.

• Communication: Excellent oral and written communication skills for both technical and non-technical audiences.

And extra credit if you have experience in any of the following!

• Experience working on latest AI technologies

• Experience coaching and developing individuals for increased effectiveness

• Familiarity with cloud cost optimization (FinOps)

• Background in SaaS security or identity industries

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The Okta Experience

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

We are intentional about connection. Our global community spanning over 20 offices worldwide is united by a drive to innovate. Your journey begins with an immersive in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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.

If reasonable accommodation is needed to complete any part of the job application interview process or onboarding pleaseuse this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT) as defined by New York City Local Law 144 that use artificial intelligence machine learning or other automated processes to assist in our recruitment and hiring accordance with NYC Local Law 144 if you are an applicant or employee residing in New York City pleaseclick here to view our full NYC AEDT Notice.