Why This Job is Featured on The SaaS Jobs
This Data Engineer role stands out in SaaS because it sits at the intersection of product telemetry, customer outcomes, and internal operations. In an observability platform business, the data layer is tightly coupled to how reliability and performance are measured, making the warehouse and pipelines more than back office reporting. The stack referenced, including Snowflake, dbt, Airflow, and AWS, reflects a modern cloud analytics foundation commonly used across SaaS teams.
For a long-term SaaS career, the remit offers durable experience in building trusted data products that multiple functions depend on. Ownership across ingestion, modeling, and consumption mirrors how SaaS organizations mature from ad hoc analytics toward governed, reusable datasets. The emphasis on query optimization, reliability, and maintenance practices also maps well to SaaS expectations around uptime, change management, and data quality as usage scales.
This position is best suited to someone who prefers end to end accountability and steady platform improvement over purely exploratory analysis. It will fit professionals who enjoy partnering with stakeholders while still spending significant time in hands on engineering work. Candidates aiming to deepen cloud data engineering fundamentals in a product led environment should find the scope aligned.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About Us:
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.
To learn more about life at LogicMonitor, check out our Careers Page.
What You'll Do:
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.
Here's a closer look at this key role:
- 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.
What You'll Need:
- 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
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Anticipated Application Close Date: 06/22/26
**LogicMonitor is an Equal Opportunity Employer*
At LogicMonitor, we believe that innovation thrives when every voice is heard and each individual is empowered to bring their unique perspective. We’re committed to creating a workplace where diversity is celebrated, and all employees feel inspired and supported to contribute their best.*
For us, equal opportunity means fostering a truly inclusive culture where everyone has the chance to grow and succeed. We don’t just open doors; we invite you to step through and be part of something bigger. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
**Work Authorization:*
At this time, we are able to consider candidates who are authorized to work in the United States on a full-time, permanent basis without requiring new or initial employer-sponsored work authorization.
Candidates who currently hold valid U.S. work authorization that can be transferred to a new employer (such as certain H-1B statuses) may be considered on a case-by-case basis.
We are not able to provide new sponsorship for employment-based visas that require an initial petition or application by the employer.*
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