NinjaOne is the unified IT operations platform for endpoint management, autonomous patching, backup, and remote access. Trusted by IT teams and MSPs worldwide. Backed by NEA, Sequoia and ICONIQ.
About the role
At NinjaOne, we're looking for a skilled Senior Data Engineer to join our Emerging Products team and help build the foundation of our modern data platform. You'll play a critical role in designing and scaling lakehouse architectures, building robust streaming and batch pipelines, and ensuring data flows reliably to the analysts and data scientists who depend on it. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent work experience preferred
- 10+ years of experience in data engineering with a strong focus on data platform and distributed systems
- Hands-on experience building and managing lakehouse architectures, including Medallion (Bronze/Silver/Gold) layering patterns
- Deep expertise in Apache Kafka, Apache Spark, and Apache Airflow for both streaming and batch pipeline development
- Proficiency in open table formats — Iceberg, Delta Lake, or Hudi — with the ability to evaluate trade-offs and select the right format for the workload
- Experience with Databricks for large-scale data processing and analytics workloads
More about this role
NinjaOne unifies IT to simplify work for nearly 40,000 customers in 140+ countries
The NinjaOne Unified IT Operations Platform delivers endpoint management, autonomous patching, backup, and remote access in a single console to improve efficiency, increase resilience, and reduce spend. By automating IT and managing all endpoints, organizations give employees a great technology experience at work.
NinjaOne is obsessed with customer success and has retained a 98% customer satisfaction score for more than 5 years.
At NinjaOne, we're looking for a skilled Senior Data Engineer to join our Emerging Products team and help build the foundation of our modern data platform. You'll play a critical role in designing and scaling lakehouse architectures, building robust streaming and batch pipelines, and ensuring data flows reliably to the analysts and data scientists who depend on it. This is an exciting opportunity to work on greenfield infrastructure using a cutting-edge stack — Kafka, Spark, Iceberg, and Databricks — collaborate with cross-functional teams, and help shape how we harness data to power our next generation of products.
*Onsite interviews may be required for this role.
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