Senior Data Engineer - Remote, Data Pipelines & Analytics

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

Benefits offered by this job

Medical, dental, vision insurance

401(k) plan

Unlimited PTO

Hybrid remote work

Job summary

NinjaOne is seeking a Senior Data Engineer to join the Analytics Platform and Data Science team. You will build pipelines and data foundations enabling product analytics and data science across NinjaOne’s product offerings. Location is flexible for US-based remote work with some hybrid options in Austin, TX or Tampa, FL.

We value 7+ years in data engineering, strong Python/SQL, ETL expertise, and collaboration with data scientists and stakeholders across the organization.

Qualifications

• 7+ years of software development with focus on data engineering and data science.
• Strong Python and SQL skills with experience in ETL pipelines.
• Experience building data pipelines on Databricks, dbt and AWS.
• Ability to work with both structured and unstructured data and to communicate with non-technical stakeholders.

Responsibilities

• Design and build ETL/ELT pipelines with Databricks, dbt, and AWS.
• Collaborate with data scientists to prepare data for modeling.
• Transform raw data into clean, usable datasets for analysts and stakeholders.
• Create dashboards and reports in Tableau to expose key metrics.

Skills

Python

SQL

Data modeling

Data pipelines

Communication

Education

Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent

Tools

Databricks

dbt

AWS

Tableau

Job description

NinjaOne is seeking a Senior Data Engineer to join the Analytics Platform and Data Science team. You will build pipelines and data foundations enabling product analytics and data science across NinjaOne’s product offerings. Location is flexible for US-based remote work with some hybrid options in Austin, TX or Tampa, FL.

We value 7+ years in data engineering, strong Python/SQL, ETL expertise, and collaboration with data scientists and stakeholders across the organization.