Senior Data Engineer
Okta
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Compensation
Salary & market context
Salary not listed
Requirements
Top requirements
- Strong proficiency in SQL for data manipulation and Python for data pipeline development.
- Hands-on experience with the modern data stack, specifically: Data Warehousing: Snowflake Data Transformation: dbt Infrastructure as Code: Terraform Experience with data ingestion, streaming, and event-driven architecture (e.g., Kafka, CDC, Snowpipe).
- Knowledge of data security and data privacy best practices A strong understanding of data modeling principles data security best practices.
- And extra credit if you have experience in any of the following!
Perks & setup
Work setup
- On-site
- Senior level
- Posted 5w ago
Start here
Requirements
- Strong proficiency in SQL for data manipulation and Python for data pipeline development.
- Hands-on experience with the modern data stack, specifically: Data Warehousing: Snowflake Data Transformation: dbt Infrastructure as Code: Terraform Experience with data ingestion, streaming, and event-driven architecture (e.g., Kafka, CDC, Snowpipe).
- Knowledge of data security and data privacy best practices A strong understanding of data modeling principles data security best practices.
- And extra credit if you have experience in any of the following!
- Experience with Snowpark.
- Experience with containerization and orchestration (Kubernetes is a nice to have).
Responsibilities
What you'll do
- It is divided into 3 groups: Pipeline team , sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data The Senior Data Engineer Opportunity Reporting to the manager of the Data Engineering Pipeline team, the senior data engineer will be a key player in ensuring the reliability and efficiency of our core data platform.
- This role is crucial, providing the stable data foundation that not only 'runs the business' day-to-day but also directly empowers the organization to unlock growth and build innovative new products.
- You will be part of a team creating robust, scalable data solutions using a modern, best-in-class toolset.
- What you’ll be doing Own and operate our critical data pipelines and infrastructure, participating in the team's support rotation to ensure high availability and business continuity.
- Lead troubleshooting efforts to fix complex pipeline or infrastructure issues, demonstrating a willingness to go beyond the direct scope of the team to find resolutions.
- You are a quick learner who can self-motivate, prioritize needs, and deliver results in a dynamic environment.
Role snapshot
About the role
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. We're all in on this mission. If you are too, let's talk.
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