Cribl

Staff Data Engineer

Remote US
USD 140k - 200k
SQL Python
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Description

About Cribl

Cribl unlocks the value of all observability data.

Our products deliver choice and control over the rising volumes of telemetry data, enabling every organization to realize the value of all their observability data without limitation. Backed by the industry’s leading venture capitalists, including CRV, Sequoia Capital, Greylock Partners, Redpoint Ventures, and IVP, our solutions are deployed across organizations of all sizes. Many of the biggest names in the most demanding industries trust Cribl to solve their most pressing observability needs.

At our core, we foster an inclusive, values-aligned culture where all belong. We believe in a remote-first operating model, empowering the flexibility to do your best work, wherever you are. We’re also growing rapidly, welcoming collaborative, curious, and motivated team members who are passionate about putting customers first. 

Join the herd and unlock your opportunity.

 

About the Opportunity

Cribl is looking for a Staff level Data Engineer to join our growing centralized data & analytics team. You will be responsible for driving high quality data across Cribl by scaling our data tech stack and championing data best practices. You will be a key contributor to our centralized Data team, partnering closely with Data Analysts, IT, Security, Business Systems, and engineering functions. This role reports to the Director of Data & Analytics.

 

What You’ll Accomplish

  • Build, manage, and monitor Cribl’s core data tech stack including data pipelines (ETL), data integrations and data warehouse
  • Engage with cross-functional stakeholders to understand system dependencies and creatively formulate solutions to complex, unstructured problems
  • Design and implement data quality processes for compliance and data validation
  • Partner with Data Analysts, Business Systems Analysts, and IT Engineers on initiatives that align with business needs
  • Automate manual processes, scale data workflow management, and manage any data system impact analysis

 

 What You’ll Bring

  • Experience in managing, architecting, and building data warehouses and data pipelines
  • Hands-on experience in SQL, python, and workflow management tools (Airflow, Prefect, etc.)
  • Familiarity with managing and deploying a modern data technology stack (Snowflake, dbt, etc.) in a cloud ecosystem
  • Strong organization skills to effectively manage and lead strategic projects, while prioritizing ad-hoc requests
  • Excellent communication skills to work with dynamic teams and communicate ideas to technical and non-technical audiences
  • Comfortable with ambiguity, have a strong analytical acumen, self-motivated, able to work cross functionally

Preferred Qualifications:

  • Four or more years’ experience in a data engineering role in a startup or hyper-growth environment.
  • No fear! Speak your mind
  • Good jokes, or maybe better, bad jokes
  • A love for goats
  • Experience working remotely

 

Salary Range ($140k - $200k)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus. 

 

Bring Your Whole Self


Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed. We work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

 

#LI-MV01

 

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