Senior Data Engineer, Experience

About Kandji

Kandji is the Apple device management and security platform that empowers secure and productive global work. With Kandji, Apple devices transform themselves into enterprise-ready endpoints, with all the right apps, settings, and security systems in place. Through advanced automation and thoughtful experiences, we're bringing much-needed harmony to the way IT, InfoSec, and Apple device users work today and tomorrow.

Some of the smartest money in tech has partnered with Kandji to realize our vision, including Tiger Global, Felicis, Greycroft, First Round Capital, and Okta Ventures. In July 2024, Kandji raised $100 million in capital from General Catalyst, bringing Kandji's valuation to $850 Million.

Since Kandji's Series C in 2021, the company has seen a 600%+ increase in annual recurring revenue, and its customer base has grown nearly 4X across 40+ industries. Notable customers include Allbirds, Canva, and Notion, and the company has partnerships with such industry giants as ServiceNow, AWS, and Okta.

Kandji was also named to Forbes' Next Billion Dollar Startup List 2023 and recognized as a top venture-backed startup with the potential to reach unicorn status.

The Opportunity

As a Senior Data Engineer, you will lead by example in setting high standards for data ingestion, preparation, modeling, and quality. The successful candidate will play a key role in designing and optimizing high-performance data pipelines, enabling the organization to maximize the value of our data.

How you will make a difference day to day:

• Identify, design, and implement data architecture; automate manual processes where appropriate.
• Optimize how data gets delivered, and scale our data systems where needed.
• Collaborate with technical data leadership on your proposed architecture design.
• Design processes for data observability, usage metrics, and monitoring of the platform.
• Collaborate with all areas of the business on their data needs and plan cross-team technical projects.
• Be an innovator, leading adoption of new technologies and technical improvements.

Minimum qualifications:

• 4+ years of strong data engineering design/development experience in building large-scale distributed data platforms/products
• Advanced knowledge of Python, SQL
• Proficiency with dbt and data modeling, especially incremental models
• Experience architecting and implementing data ingestion platforms, interacting with multiple third-party data sources, and assembling them into actionable structures
• Experience in technical leadership for data architectures within greenfield efforts
• Experience with both structured and unstructured datasets
• Deep experience with workflow management systems (Airflow, Argo Workflows, etc)
• Ability to establish and maintain relationships with key stakeholders

Preferred qualifications:

• Experience with a MDM related SaaS product
• Familiarity with Apache Kafka, or Kinesis
• Familiarity with applying Data Science algorithms and/or ML ops
• Experience with a variety of data serialization formats (Avro, Parquet, JSON, Protobuf, etc)