Staff Data Engineer

About the role

Who is Sonar?

Sonar enables organizations to ship agentic code with confidence. Code creation is abundant, but confidence is scarce. Our core platform, SonarQube, verifies over 750 billion lines of code every day, delivering agentic verification and governance for all code. Trusted by more than 7 million developers and 75% of the Fortune 100, including teams at Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company, Sonar enables organizations to reduce outages, improve security, and lower the cost and risk of agentic software development.

Founded in Geneva and now headquartered in Austin, Texas, Sonar has a global team working across offices and hubs, including Silicon Valley, London, Bochum, Barcelona, Singapore, Tokyo, and the Washington, D.C. area. At Sonar, we’re enabling enterprises to build agentic software factories that can move quickly while maintaining the control, consistency and evidence required to ship with confidence.

Position description:

We want to make the best decisions possible for our products and to do that, we need to make data-driven decisions.

To achieve this goal, we are looking for a talented Data Engineer - you! - to join the Data & ML Platform team.

Together, we will make Sonar’s products the undisputed world-leading code remediation solution!

What you will do You will design and develop the data platform to support the functional domains in handling their data and help them in their journey to data ownership. This means:

- Design and implement data storage, transformation, and load capabilities of our pipelines.

- Continuously enhance the data platform. Propose, implement and manage data handling services according to stakeholders needs (Product Managers, Marketing, Sales, engineering teams, ...)

- Establish top-class end-to-end pipelines including data cleaning and modelling.

- Develop and deploy connectors to data sources of interest.

- Maintain evergreen data flow documentation across systems.

- Collaborate on Data Governance with other stakeholders/domains.

- Work with the security function to ensure we adhere to expected security standards.

- Collaborate with the incident manager to bring your expertise when asked and own implementation of recommendations from post-mortems.

Experience and qualifications -

You have solid software engineering experience, focusing on developing data engineering pipelines and storage in the cloud. You have been exposed to big data architecture essentials, streaming, ETL batches, data store administration, …

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You see yourself as a developer working on data. You are motivated by both technical and functional aspects of services.

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You are a friendly, enthusiastic, and organized team player. You actively share your knowledge and give and receive feedback to improve the team and yourself.