Note: The job is a remote job and is open to candidates in USA. NinjaOne provides a Unified IT Operations Platform for endpoint management, patching, backup, and remote access. The Senior Data Engineer will build and scale the company's modern data platform by designing lakehouse architectures, developing streaming and batch pipelines, managing open table formats, and optimizing distributed analytics workloads. The role also partners with data scientists, analysts, and product teams to deliver reliable data platform solutions.
Responsibilities
- Design and implement Medallion-layer data architectures (Bronze, Silver, Gold), building structured ingestion pipelines and curated data layers that serve downstream analytics and data science workloads
- Build and maintain scalable streaming and batch data pipelines using Kafka, Spark, and Airflow, supporting reliable and low-latency data movement across the platform
- Own and manage open table formats including Iceberg, Delta, and Hudi - selecting the right format for the workload and maintaining performance and reliability at scale
- Work with Trino/Starburst and Databricks-based environments to optimize large-scale analytics queries and support platform consumers
- Monitor pipeline health, troubleshoot data quality and performance issues, and continuously improve the reliability and efficiency of the data platform
- Partner closely with data scientists, analysts, and product teams to understand data requirements and deliver platform solutions that enable data-driven decision-making
- Other duties as needed
Skills
- 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
- Strong proficiency in Python and SQL
- Hands-on experience with Trino or Starburst for distributed query execution
- Familiarity with hybrid streaming/batch architectures and event-driven data systems
- Experience designing Gold-layer datasets optimized for business intelligence and self-serve analytics
- We are flexible on remote working from home, if you are located in the USA and reside in one of the following states: **CA, CO, CT, FL, GA, \*IL, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA**, and **WA**
- This position is NOT eligible for Visa sponsorship
- \*Due to operational policies, NinjaOne is unable to hire for this role within the city limits of Chicago. We will consider all qualified candidates who reside outside of the city proper or are willing to self-relocate
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent work experience preferred
Benefits
- We are a collaborative, kind, and curious community.
- We honor your flexibility needs with full-time work that is hybrid remote.
- Medical, dental, and vision insurance
- 401(k) plan
- Unlimited PTO
- Opportunity for growth and advancement
- Life insurance coverage
Company Overview