# Staff Data Engineer

**Company:** [Cribl](https://hotfix.jobs/companies/cribl)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $170k – $220k/yr
**Experience:** 7+ years
**Skills:** Snowflake, SQL, Python, dbt, AWS, Terraform, prefect, Airflow, Dagster, ELT, Data Modeling, CI/CD, RBAC, APIs, LLMs
**Posted:** 2026-08-06

> Leads architecture and operations for Cribl’s data platform, including Snowflake, Prefect, dbt, AWS infrastructure, ingestion services, and AI-ready data workflows. The role requires deep Snowflake expertise, strong Python and SQL skills, infrastructure-as-code experience, and the ability to mentor engineers and set technical direction.

## Job Description

## Responsibilities
- Serve as technical lead for the Data Engineering team, owning architecture and design decisions for core data systems.
- Partner with Data Analysts, SREs, IT Engineers, and business teams to clarify requirements, validate outputs, and communicate risks, tradeoffs, and timelines.
- Own and operate the self-hosted Prefect orchestration platform, including its build/worker system, operational hygiene, upgrades, and cost and footprint tradeoffs.
- Own the Snowflake environment, including data modeling, performance and cost optimization, RBAC and permissions design, tooling, and governance.
- Build, operate, and monitor data pipelines, ingestion services, integrations, and the warehouse with reliable logging, alerting, and observability.
- Advance the dbt practice, including the dbt Fusion migration and warehouse cost and performance at scale.
- Develop cloud-native services and infrastructure on AWS, including event-driven ingestion, APIs, upsert patterns, and reusable packages.
- Advance infrastructure-as-code practices using Terraform or similar tools, including reusable modules, deployment patterns, CI integration, and self-hosted or hybrid deployments.
- Partner with the Data Engineering manager on technical direction, platform roadmaps, engineering standards, and architectural tradeoffs.
- Mentor and grow data engineers through code review, pairing, design feedback, and coaching.
- Support data science and agentic initiatives by preparing model-ready datasets, exposing features, and integrating AI/LLM workflows into production.
- Contribute to secure, compliance-minded engineering practices with IT and Security.

## Requirements
- Deep expertise in Snowflake, including advanced data modeling, query and warehouse performance tuning, cost management, and security/RBAC design.
- Technical leadership experience setting direction, driving architecture, and delivering complex systems across a team.
- Excellent communication and cross-functional collaboration skills, with the ability to lead through influence.
- Experience mentoring junior and mid-level engineers through coaching, review, and pairing.
- Strong Python and SQL fundamentals, with solid ELT patterns and data modeling experience.
- Hands-on experience operating self-hosted or self-managed orchestration. Prefect is strongly preferred; equivalent experience running Airflow or Dagster on owned infrastructure is acceptable.
- Hands-on AWS and infrastructure-as-code experience using Terraform or an equivalent tool.
- Experience building cloud applications or backend services, including APIs, ingestion services, and event-driven workflows.
- Production-grade engineering practices, including logging, alerting, versioning, and CI/CD.
- Fluency with AI-assisted development platforms such as Claude Code and demonstrated ability to use them to accelerate delivery.

## Compensation and Benefits
- Base salary range: **$170,000–$220,000 USD**, dependent on geographic location and the candidate’s job-related knowledge, skills, and experience.
- Employees in non-sales roles are eligible to participate in the Cribl Corporate Bonus Program.
- Benefits include health, dental, vision, short-term disability, life insurance, paid holidays, paid time off, fertility treatment benefits, 401(k), and equity.

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