Senior Data Engineer

NinjaOne; Georgia; Hybrid; USD 110,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) plan

Unlimited PTO

Hybrid remote flexibility

Job summary

NinjaOne is seeking a Senior Data Engineer to join the Analytics Platform and Data Science team, building pipelines and data foundations that illuminate product health, adoption, and performance. You’ll transform raw data into clean, usable datasets for data scientists, analysts, and stakeholders across the Product organization.

You’ll collaborate with Product and Engineering, design ETL/ELT pipelines using Databricks, dbt, and AWS, and craft dashboards in Tableau to reveal trends.

Qualifications

• Bachelor's degree in CS/CE/IT or equivalent experience preferred.
• 7+ years of software development with strong data engineering focus.
• Expertise in Python and SQL.
• Experience building ETL pipelines and large-scale data systems.
• Strong experience with Databricks, dbt, and AWS data services; Unity Catalog is a plus.
• Comfortable with structured and unstructured data and streaming data is a plus.

Responsibilities

• Drive line of sight into product health, adoption, and usage analytics by building data foundations.
• Design and build ETL/ELT pipelines with Databricks, dbt, and AWS that source data from multiple systems.
• Collaborate with data scientists to prepare structured and unstructured data for modeling.
• Transform raw data into clean, well-structured datasets and support feature engineering.
• Develop pipelines for product telemetry and streaming data; translate complexity into usable datasets.
• Automate and optimize data workflows to improve efficiency in data collection and processing.
• Create dashboards and reports in Tableau to reveal key data points to stakeholders.

Skills

Python

SQL

Databricks

dbt

AWS data services

Kafka

Kinesis

Spark Structured Streaming

Tableau

Unity Catalog

Education

Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent work experience preferred.

Tools

Databricks

dbt

AWS

Kafka

Kinesis

Spark Structured Streaming

Tableau

Job description

Description

At NinjaOne, we’re looking for a skilled Senior Data Engineer to join the Analytics Platform and Data Science team to help enable product analytics and data science across NinjaOne’s expanding product offering. You’ll build the pipelines and data foundations that provide line of sight into product health, adoption, and performance turning raw, messy data into clean, usable datasets that data scientists, analysts, and stakeholders across the Product organization can rely on. This is an exciting opportunity to work at the intersection of business and highly technical products, partner with teams across Product and Engineering, and help shape how we use data to guide product decisions in a fast-paced environment.

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

What You’ll be Doing

• Product Visibility & Health: Drive line of sight into how our products are used and performing by building the data foundation behind product health, adoption, and usage analytics.
• Data Pipeline Development: Design and build ETL/ELT pipelines with Databricks, dbt, and AWS that extract, transform, and load data from multiple sources, making it usable for analysts and data scientists across the org.
• Data Enablement for Analytics & Data Science: Partner closely with data scientists to prepare structured and unstructured data for modeling — including product usage, adoption, and customer behavior work.
• Data Cleaning & Preparation: Own the transformation of raw, messy data into clean, well-structured datasets, including feature engineering support (e.g., creating dimensions, discretizing variables).
• Product Telemetry & Streaming Data: Build and maintain pipelines for product telemetry, event, and streaming data sources as the team’s needs grow.
• Complex Systems Fluency: Get familiar with NinjaOne’s distributed product architecture and the data it generates, and translate that complexity into clean, well-modeled datasets that bridge business questions with highly technical products.
• Automation & Optimization: Automate and optimize data workflows to reduce manual processes and improve efficiency in data collection, storage, and processing.
• Data Visualization: Build dashboards and reports in Tableau and Databricks to expose key data points and trends to business stakeholders.
• Collaboration: Work closely with data science and analytics teammates and with stakeholders and teams across Product and Engineering to gather requirements and ensure clean, usable data flows to the right people.
• Other duties as needed.

About You

• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent work experience preferred.
• 7+ years of experience in software development, with a strong focus on data engineering and data science.
• Demonstrated business impact and growth in prior roles
• Expertise in Python and SQL.
• Experience building ETL pipelines and managing large-scale data systems.
• Strong experience with Databricks, dbt, and AWS data services; experience with Unity Catalog is a plus.
• Comfortable working with structured and unstructured data; experience with product telemetry, event, or streaming data is a plus.
• Solid understanding of data cleaning, preparation, and feature engineering to support downstream modeling.
• Experience with Tableau or similar BI tools for dashboarding and visualization.
• Able to work independently with messy data from sourcing through cleaning to handoff for modeling and comfortable operating in a fast-paced environment.
• Strong communicator able to work directly with technical and non-technical stakeholders and bridge business needs with highly technical work.

Experience That Will Make You a Standout Candidate

• Previous experience partnering directly with data scientists or analytics teams on model-ready data pipelines.
• Experience with product analytics usage metrics, adoption and retention analysis, or telemetry/event data at scale.
• Understanding of Generative AI and Deep Learning frameworks.
• Experience with streaming frameworks (e.g., Kafka, Kinesis, Spark Structured Streaming).

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.

We hire the best software engineers, but experience in our stack can’t hurt: NinjaOne is built on Java, Kotlin, C++, Golang and Postgres; supporting millions of user endpoints and running as a scalable cloud service in AWS. Knowing large-scale datastore bottlenecks, asynchronous application design, and client-server architecture will help you.

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.