Senior Data Engineer | Emerging Products

NinjaOne provides a unified IT operations platform for endpoint management, patching, backup, and remote access. The company is seeking a Senior Data Engineer to design and scale lakehouse architectures, build streaming and batch pipelines, and ensure reliable data access for analysts and data scientists. The role will also optimize query engines, improve platform reliability, and collaborate with cross-functional teams on data platform solutions.

Responsibilities:

• Lakehouse Architecture: 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
• Pipeline Development: Build and maintain scalable streaming and batch data pipelines using Kafka, Spark, and Airflow, supporting reliable and low-latency data movement across the platform
• Table Format Management: 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
• Query Engine Optimization: Work with Trino/Starburst and Databricks-based environments to optimize large-scale analytics queries and support platform consumers
• Platform Reliability: Monitor pipeline health, troubleshoot data quality and performance issues, and continuously improve the reliability and efficiency of the data platform
• Collaboration: 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

Requirements:

• • 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
• Location — 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
• candidates must be U.S. citizens or lawful permanent residents
• *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