#6427153

Position summary

icMonitor is an equal opportunity employer. We deeply care about our employees' well-being, creating an environment where everyone feels valued and respected. We celebrate the diversity of our team and are committed to fostering a culture of inclusivity. When you join LogicMonitor, you're not just an employee to us, but a valued member of our community. Come as you are, be yourself, and let's grow together.

To learn more about life at LogicMonitor, check out our Careers Page .

What You'll Do:

The Business Intelligence and Data team isn't just crunching numbers - we're transforming raw data into actionable insights that drive strategic decisions across every department, worldwide. Join us and become a data superhero, empowering teams to achieve incredible things!

We're looking for a talented and passionate Senior Data Engineer to join our growing team! In this role, you'll be responsible for designing, developing, and maintaining data solutions to support our broad profile of enthusiastic data consumers. You'll work closely with stakeholders across different departments to understand their data needs and develop technical data solutions such as new data pipelines, models, and transformations.

Here's a closer look at this key role:

Build and maintain data pipelines for processing data and empowering analytics at scale
Optimize pipelines, dashboards, frameworks, and systems to facilitate development of data products
Transform raw data into cleaned, organized and actionable formats
Solve data transformation and integration issues
Drive design, management, and optimization of our data compute and storage infrastructure
Lead the analysis and resolution of data security tasks
Create and maintain data architecture artifacts

What You'll Need:

4+ years experience in a Data Engineering role, with a focus on building data pipelines and models.
Expert proficiency in SQL, Python
2+ years experience with Airflow, Snowflake, dbt cloud

Nice to have:

Domain analytical experience with Financial, Customer Success, or Human Resources data
Machine learning project implementation
Experience using FiveTran, Looker, PowerBI