Senior Data Engineer — Remote Product Analytics & Pipelines

NinjaOne; Town of Texas (WI); Hybrid; USD 110,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) plan

Job summary

NinjaOne is seeking a Senior Data Engineer to join the Analytics Platform and Data Science team. You will build data pipelines and foundations enabling product analytics, translating raw data into clean datasets for data scientists, analysts, and stakeholders.

Responsibilities include ETL/ELT design with Databricks, dbt, and AWS; data enablement for modeling; and building dashboards in Tableau. Collaboration with cross-functional teams is essential in a fast-paced, hybrid-remote environment.

Qualifications

• 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.

Responsibilities

• Build data pipelines and data foundations enabling product analytics and data science.
• Design and build ETL/ELT pipelines using Databricks, dbt, and AWS.
• Prepare structured and unstructured data for modeling with data scientists.
• Transform raw data into clean, well-structured datasets and create features.
• Develop pipelines for product telemetry and streaming data.
• Translate complex data systems into usable datasets for business questions.
• Automate and optimize data workflows to improve efficiency.
• Create dashboards and reports in Tableau and Databricks for stakeholders.
• Collaborate with Product, Engineering, and Analytics teams to gather requirements.

Skills

Python

SQL

Data modeling

ETL pipelines

Data visualization

Strong communicator

Education

Bachelor's degree in Computer Science or equivalent

Tools

Databricks

dbt

AWS

Unity Catalog

Tableau

Kafka / Kinesis

Job description

NinjaOne is seeking a Senior Data Engineer to join the Analytics Platform and Data Science team. You will build data pipelines and foundations enabling product analytics, translating raw data into clean datasets for data scientists, analysts, and stakeholders.

Responsibilities include ETL/ELT design with Databricks, dbt, and AWS; data enablement for modeling; and building dashboards in Tableau. Collaboration with cross-functional teams is essential in a fast-paced, hybrid-remote environment.