Staff Data Engineer
SonarSource is hiring a Staff Data Engineer in Geneva, Switzerland. Level rates it ; you can apply on SonarSource.
Level's read on this job
- Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Databricks.
- Level classifies it as a lead role.
- Level lists 120 other open roles at SonarSource.
AI in this 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
- 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.
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:
Experience and qualifications
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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.
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Strong experience building end-to-end ETLT, ETL, or ELT pipelines with batch or streaming technologies in Python.
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Experience working with Databricks as a Platform or building data pipelines with PySpark is a plus.
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Strong experience with the AWS platform including, but not limited to, services such as: Glue, RedShift, CloudFormation, S3, CloudWatch, Lambdas, etc… or equivalents
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Good knowledge of data engineering concepts (Data Lake, Data Warehouse, etc…)
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Experience with Infrastructure as code tools (CDK, CloudFormation, Terraform)
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You are fluent in English, both written and spoken
In-office culture
We're intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having.
Candidates need to be genuinely based in the location the role is posted — if that's not where you are today, we're happy to support relocation for the right person.
We value diversity, equity, and inclusion
At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you need any accommodation, please reach out to us at hiring@sonarsource.com.
All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.
Applications that are submitted through agencies or third party recruiters will not be considered.
How we rate this
Staff Data Engineer at SonarSource rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
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