Cribl logo

Staff Data Engineer

Cribl

Remote · USJobSeen 5 days agoSeen in employer's feed 5 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

At a glance

Compensation
No compensation found
Location
Remote · US
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Cribl is seeking a Staff Data Engineer to provide technical leadership for its Data Engineering team. The role shapes architecture and strategy for systems supporting analytics, data science, and operational decisions, spanning Snowflake, SQL, dbt, AWS, infrastructure-as-code, orchestration, observability, and AI workflows. The engineer will mentor teammates and own core data platforms and production-grade outcomes.

Skills & qualifications

RequiredNice to have

Skills

Technical LeadershipArchitecture DesignStakeholder CommunicationPrefectSnowflakeData ModelingRBACData PipelinesData IngestionData IntegrationMonitoringDbtCloud-Native Services

Full job description

JOB REQUIREMENTS: Number of Openings: 1 Job Title: Staff Data Engineer Occupational Category: Please choose the most appropriate choice based on the Job Title and Description. Duties and Responsibilties of Job: 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 fastestgrowing private companies and a leading player in a massive, fastmoving market. With a global workforce, we're remotefirst 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... * Serve as a technical lead for the Data Engineering team. Own architecture and design decisions for core data systems and drive reliable, production-grade outcomes. * Partner with stakeholders across functions (Data Analysts, SREs, IT Engineers, and business teams). Clarify requirements, validate outputs, and communicate risks, tradeoffs, and timelines proactively. * Own and operate our self-hosted orchestration platform. Run and evolve our self-managed Prefect deployment and its build/worker system. Own the operational hygiene, upgrade path, and cost/footprint tradeoffs of running orchestration on a hybrid, self-hosted model. * Own Cribl's Snowflake environment. Serve as the subject-matter expert on data modeling, performance, and cost optimization, and own RBAC/permissions design, permissions tooling, and governance. * Build, operate, and monitor the core data tech stack. This covers data pipelines, ingestion services, integrations, and the warehouse, ensuring data is accurate, timely, and trusted, with logging, alerting, and observability as first-class concerns. * Advance the modern data stack. Drive our dbt practice forward, including the in-flight dbt Fusion migration, and own warehouse cost/performance at scale. * Develop cloud-native services To view the full job description please use the link below. https://www.aplitrak.com/?adid=YmJnZW5lcmljLjQ1MzQ4Ljg3NzBAY3JpYmxjb21wLmFwbGl0cmFrLmNvbQ -- 3 Requirements -- ***\ * APPLICATION INSTRUCTIONS: Apply Online: https://www.aplitrak.com/?adid=YmJnZW5lcmljLjQ1MzQ4Ljg3NzBAY3JpYmxjb21wLmFwbGl0cmFrLmNvbQ

How this job compares

Set against the 5,720 open Data Engineer jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This postingNot listed
  • Wisconsin median$115–210K/yr45 salary ranges
  • US median$48–63/hr278 hourly ranges
Openings
Olive Jobs lists 73 open Data Engineer jobs in Wisconsin and 5,720 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Wisconsin
Experience
Data Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 6 years (4,958 postings).
Education
2,660 of the 5,720 open Data Engineer jobs (47%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.