Senior Security Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $159.8k - $235k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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DoorDash

WebsiteLinkedInAll Job Openings

10,000+ employees

🍽️ Food & Beverage

📦 Logistics

🛍️ eCommerce

Food & Beverage • Logistics • eCommerce

DoorDash is a leading food delivery service that connects customers with local businesses and restaurants. By empowering local economies, DoorDash facilitates the growth and success of restaurants and retailers, offering a flexible work environment for its employees. The company emphasizes innovation and aims to redefine the local commerce experience while providing extensive benefits and opportunities for team members across various career areas.

📋 Description

• Own multi-terabyte-per-day log pipelines across AWS and GCP, including ingest, routing, enrichment, schema management, and onboarding new sources • Control ingest cost and volume while preserving audit logs needed by investigators • Model security data and tune query performance in Snowflake, BigQuery, and Redshift • Ship production services and integrations, including custom SIEM connectors, API clients, and automation • Set and defend SLOs for log availability and freshness • Build dashboards and alerting for service-level objectives • Own infrastructure as code and CI/CD, including the deployment path for detections-as-code • Build AI agents and automated runbooks to accelerate triage and remediation across cloud infrastructure • Enforce IAM and service account governance for cloud workloads • Lead cross-functional projects across infrastructure, platform engineering, and incident response • Create and maintain standards and documentation • Mentor engineers across Cyber Defense • Participate in an on-call rotation for pipeline health • Collaborate regularly with IT, legal, privacy, incident response, insider risk, threat intelligence, and detection engineering teams

🎯 Requirements

• 5+ years building and operating high-volume data pipelines in production at multi-terabyte-per-day scale, using tools such as Kafka, Cribl, Dataflow, Kinesis, or CloudWatch • 4+ years writing production software in Python, Go, Rust, or Java • Deep hands-on experience with AWS and GCP • Experience with infrastructure as code and CI/CD pipelines on GitHub, GitLab, or Bitbucket • Strong SQL and data modeling in a columnar warehouse such as Snowflake, BigQuery, or Redshift • Experience with partitioning, cost control, and query tuning • Track record owning reliability for a platform, including on-call • Experience building executive dashboards and engineering metrics • Proven leadership and technical project management across infrastructure, platform engineering, and incident response • Exceptional written and verbal communication, collaborative instinct, and continuous learning • Familiarity with an enterprise SIEM such as Google SecOps/Chronicle, Splunk, Elastic, or CrowdStrike LogScale is a plus • Familiarity with Kubernetes, Docker, and runtime security controls is a plus • Hands-on experience with security telemetry sources, detections-as-code (YARA-L, Sigma, SPL), LLM-assisted workflows, penetration testing, red teaming, or triaging bug bounty reports is a bonus

🏖️ Benefits

• Equity grants • 401(k) plan with employer matching • 16 weeks of paid parental leave • Wellness benefits • Commuter benefits match • Paid time off • Paid sick leave • Medical benefits • Dental benefits • Vision benefits • 11 paid holidays • Disability insurance • Basic life insurance • Family-forming assistance • Mental health program • Flexible paid time off/vacation for salaried roles • 80 hours of paid sick time per year for salaried roles • Wellness expense reimbursement • Premium healthcare • Accommodations for applicants with disabilities