Data Engineer

LogicMonitor•Austin, TX

12h•Hybrid

About The Position

We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers. This role is open to candidates based in or near Austin, TX. Our Austin office is based in the vibrant San Jacinto Center downtown with breathtaking views of Lady Bird Lake. At LogicMonitor, we hire within our Centers of Energy—vibrant locations where our teams connect, collaborate, and innovate. LogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise. Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row! As a Data Engineer on the Data & Business Intelligence team, you will enable data-driven decision-making by building and scaling LogicMonitor’s data platform. You will design, develop, and operate robust data pipelines and architectures that transform raw data into reliable, actionable insights across the organization. In this role, you will own the end-to-end lifecycle of data, from ingestion and modeling to storage and consumption, leveraging modern cloud-based technologies and distributed systems. You will partner closely with stakeholders across product, engineering, and business teams to ensure data is accessible, well-modeled, and aligned with evolving analytical and operational needs.

Requirements

Bachelor's degree in a technical or quantitative field (e.g. Math, Statistics, Economics, Computer Science, Data Science) or equivalent experience
Minimum 3 years of SQL experience in the data analytics space
Experience optimizing database/query performance
Experience with business visualization tools (PowerBI), data warehousing (Snowflake), and data orchestration (Airflow).
A desire to learn and assimilate technical information quickly.
Experience with data management, transformation, cleaning, and de-duplication
Experience with the AWS ecosystem
Proven track record of having implemented, enhanced and supported data warehouse systems and reporting tools
Ability to work autonomously and lead small to medium projects

Nice To Haves

Proficiency with a scripting language (e.g. Python, R, Perl, bash) is a huge plus

Responsibilities

Manage and support Snowflake data warehouse and data modeling tool, dbt.
Design and implement process improvements to increase efficiencies and ensure reliability across data warehouse infrastructure
Own and maintain tools required to support data infrastructure
Implement feature enhancements to systems according to LogicMonitor business needs
Ensure integrations between warehouse systems are working as expected and resolve any errors
Communicate and resolve planned or unplanned system downtime
Establish and implement best practices with regards to system maintenance, security, release management, improvements, data integrity, duplicates, backups, etc.