Senior Data Engineer | Emerging Products

Posted 9 Hours Ago
18 Locations
Remote or Hybrid
110K-200K Annually
Senior level
Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
Our mission is to simplify IT operations, making IT teams more efficient and users more productive.
The Role
Design and scale lakehouse architecture, including Bronze, Silver, and Gold data layers. Build reliable streaming and batch pipelines with Kafka, Spark, and Airflow; manage Iceberg, Delta, and Hudi table formats; optimize Trino, Starburst, and Databricks queries; and improve platform reliability, data quality, and performance. Collaborate with data scientists, analysts, and product teams to deliver scalable data platform solutions.
Summary Generated by Built In

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. 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.

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, OH and WA. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option.

*Onsite interviews maybe required for this role

We hire the best data engineers, but experience in our stack can't hurt: our data platform is built on Kafka, Spark, Airflow, Iceberg, and Databricks; supporting large-scale distributed workloads across hybrid streaming and batch ecosystems. Knowing lakehouse architecture patterns, distributed query engines, and scalable pipeline design will set you up for success.

What You'll Be Doing

  • 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.

About You

  • 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.
  • Strong proficiency in Python and SQL.
  • Experience that will make you a standout candidate:
    • 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.

About Us

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.

What You'll Love

  • We are a collaborative, kind, and curious community.
  • We honor your flexibility needs with full-time work that is hybrid remote.
  • We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance.
  • We help you prepare for your financial future with our 401(k) plan.
  • We prioritize your work-life balance with our unlimited PTO.
  • We reward your work with opportunity for growth and advancement.

Additional Information

This position is NOT eligible for Visa sponsorship. Due to federal government security requirements associated with our FedRAMP-authorized environment, 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.

Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to location, market demands, experience, job-related knowledge, and skills. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage and PTO. For roles based in California, Colorado, Maryland, New Jersey, or Washington the base salary hiring range for this position is $110,000 to $200,000 per year.

For roles based in New York, the base salary hiring range for this position is $110,000 to $200,000 per year.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment.

Skills Required

  • 10+ years of experience in data engineering focused on data platforms and distributed systems
  • Hands-on experience building and managing lakehouse architectures using Medallion layering patterns
  • Deep expertise in Apache Kafka, Apache Spark, and Apache Airflow for streaming and batch pipelines
  • Proficiency with open table formats such as Iceberg, Delta Lake, or Hudi
  • Experience with Databricks for large-scale data processing and analytics
  • Strong proficiency in Python and SQL
  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent work experience
  • Hands-on experience with Trino or Starburst
  • Familiarity with hybrid streaming and batch architectures and event-driven data systems
  • Experience designing Gold-layer datasets for business intelligence and self-service analytics
  • Must be a U.S. citizen or lawful permanent resident

NinjaOne Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NinjaOne and has not been reviewed or approved by NinjaOne.

  • Healthcare Strength Health coverage spans medical, dental, and vision with a notable employer premium contribution, alongside mental-health and wellness programs. This combination indicates robust support for routine and preventive care.
  • Leave & Time Off Breadth Policies highlight unlimited or flexible PTO alongside paid holidays and sick time, as well as generous parental leave. Flexible scheduling and hybrid/remote options reinforce time-off usability.
  • Fair & Transparent Compensation Pay is characterized as decent to good overall and competitive for many engineering and senior IC roles. Publicly posted ranges and salary snapshots align to market-typical totals in several functions.

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The Company
HQ: Austin, TX
2,000 Employees
Year Founded: 2013

What We Do

NinjaOne, the automated endpoint management platform, delivers visibility, security, and control over all endpoints for more than 30,000 customers in 130+ countries. The cloud-native NinjaOne platform simplifies endpoint management, patching, and visibility for environments at any scale. It is proven to increase productivity, reduce security risk, and lower costs. 

Why Work With Us

NinjaOne is proud to be an independent, founder-led company. NinjaOne is filled with passionate, driven people of all backgrounds. We’re proud to celebrate our differences and build a company based on integrity, inclusion and acceptance. We invest in our staff and implement a policy of transparency with a flat organizational structure.

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