Data Engineer, LogicMonitor
$94.8-130.4k
More information about location
Hybrid observability powered by AI
Posted today
Hybrid observability powered by AI
1001+ employees
Posted today
$94.8-130.4k
More information about location
1001+ employees
Company mission
To expand what’s possible for businesses by advancing their technology.
Role
Who you are
- 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
- Proficiency with a scripting language (e.g. Python, R, Perl, bash) is a huge plus
- 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
What the job involves
- 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
- 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
Our take
As businesses shift from reactive to proactive monitoring, there is a need for tools which empower them to make predictions and solve problems before they start. This is what LogicMonitor supplies, through an observability platform for hybrid environments.
The company's extensive product suite encompasses monitoring of all sorts, including but not limited to networks, virtual machines, databases, containers and SaaS. Each service supplies real-time insights and automated monitoring, complete with agentless architecture.
LogicMonitor is held in high regard by the industry, evidenced by its namechecking in the Visionary quadrant of the Gartner Magic Quadrant 2024. It has also seen significant funding, which will support further development and growth for the business.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Nov 2024
$400m
GROWTH EQUITY VC
Jun 2016
$130m
GROWTH EQUITY VC
Total funding: $543m
Company HQ
Santa Barbara Downtown, Santa Barbara, CA
Leadership
Board Member at Rapid7 and Founding LP at Operator Collective. Was also a Board Member at Poema Global, and CCO, VP and Global Head of Customer Success at Slack.
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