Hire(d) better.
Hire(d) better.
Hire(d) better.
Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.
We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.
Why You’ll Love This Role
We're looking for a Staff Data Engineer to serve as a technical leader on Cribl's Data Engineering team. You will be someone who can set direction for the systems that power analytics, data science, and operational decision-making across the company. You'll operate at the intersection of the modern data stack (Snowflake, SQL, dbt), software and platform engineering (AWS, infrastructure-as-code, orchestration, observability), and our fast-emerging AI/agentic workflows.
This is a high-leverage, hands-on leadership role. As a Staff engineer you'll act as a technical lead: partnering with the Data Engineering manager to shape technical strategy and architecture, mentoring and growing junior and mid-level data engineers, and raising the bar on how the team designs, builds, and operates its platform. The pipelines, services, and standards you establish will directly influence how teams across Cribl understand the business, make better decisions, and experiment with new AI-driven experiences.
We pride ourselves on fostering a collaborative and innovative culture where team members enjoy working together — whether remotely or over a meal at a foodie hot spot. If you're a seasoned engineer who thrives in an entrepreneurial environment, leads through influence and example, and is eager to help build a company poised for legendary success in the tech industry, we want to hear from you!
As An Active Member Of Our Team, You Will…
If You’ve Got It - We Want It
#LI-JB1
#LI-Remote
The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience.
In addition to base salary, for sales and some sales-adjacent roles, employees are eligible to earn incentive compensation (commission). For all other roles, employees are eligible to participate in the Cribl Corporate Bonus Program.
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), and equity.
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, and 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.
Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at cribl.io/about-us.
Will AI replace this role?
Check AI displacement risk, transferable skills, and career alternatives for Staff Data Engineer
The salary range for the Staff Data Engineer position at Cribl is USD 170k+/yr.
The Staff Data Engineer position at Cribl is based in Remote - United States; US - California. This is a remote position.
Key skills for the Staff Data Engineer position at Cribl include: snowflake, sql, dbt, aws, terraform, large language models, python, airflow, ci/cd.