Data Engineer

Strong SQL and Python fundamentals; experience with ELT patterns and data modeling Exposure to Snowflake or a similar cloud warehouse (databricks, redshift, duckdb), and familiarity with dbt or equivalent frameworks Experience building cloud applications or backend services (APIs, ingestion services, event-driven workflows) Hands-on experience with AWS cloud infrastructure and infrastructure-as-code such as Terraform Familiarity with workflow orchestration (e.g., Prefect, Airflow) and production-grade engineering practices (logging, alerting, versioning, CI/CD) Clear, concise communication and the ability to collaborate across data, engineering, and business teams

Build, operate, and monitor Cribl’s core data tech stack including data pipelines, data integrations and our data warehouse Develop cloud-native services and infrastructure that power scalable, reliable data systems Contribute to infrastructure-as-code (Terraform or similar) Support Cribl’s growing data science and agentic initiatives by preparing model-ready datasets, exposing features, and integrating AI/LLM workflows into production systems Work closely with Analysts and business stakeholders to clarify requirements, validate data outputs, and translate business logic into reliable data artifacts Partner closely with Data Analysts, Site Reliability Engineers, and IT Engineers on initiatives that align with business needs Communicate risks, tradeoffs, and timelines proactively Contribute to secure, compliance-minded engineering practices