> Markdown version of [/jobs/ext/2737216-security-data-engineer](https://www.wearedevelopers.com/jobs/ext/2737216-security-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Security Data Engineer - **Company:** DOORDASH, INC. - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $159,800.0 - $235,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software System Penetration Testing, BigQuery, Cloud Computing, Cyber Security, Continuous Integration, Github, Identity and Access Management, Intrusion Detection and Prevention, Python (Programming Language), Query Optimization, Cloud Services, Standard Sql, Security Information and Event Management, Large Language Models, Snowflake, Cyber Threat Analysis, Gitlab, Kubernetes, Bitbucket, Cloudwatch, Cyber Warfare, Splunk, Data Pipelines, Docker, Amazon Redshift - **Published:** September 5, 2026 - **Apply:** https://startup.jobs/senior-security-data-engineer-doordash-usa-9850707 ## About the Role * 5+ years building and operating high-volume data pipelines in production at multi-terabyte-per-day scale, with tools like Kafka, Cribl, Dataflow, Kinesis, or CloudWatch * 4+ years writing production software in Python, Go, Rust, or Java: services and tooling that other engineers run, beyond one-off scripts * Deep hands-on experience with AWS and GCP, including infrastructure as code and ownership of CI/CD pipelines on GitHub, GitLab, or Bitbucket * Strong SQL and data modeling in a columnar warehouse such as Snowflake, BigQuery, or Redshift, covering partitioning, cost control, and query tuning * A track record owning reliability for a platform other engineers depend on, including on-call * Experience building executive dashboards and engineering metrics that people actually act on * Proven leadership and technical project management across infrastructure, platform engineering, and incident response * Exceptional written and verbal communication, a collaborative instinct, and a habit of continuous learning * Familiarity with an enterprise SIEM as an operator or a consumer (Google SecOps/Chronicle, Splunk, Elastic, CrowdStrike LogScale) is a plus, as is time with Kubernetes, Docker, and runtime security controls * Any hands-on time 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 ## Description Security at DoorDash, Deliveroo, and Wolt runs on telemetry, and our data pipelines team owns all of it. You will own multi-terabyte-per-day ingest across AWS and GCP, including reliability, cost, and schema, so that every detection engineer, threat hunter, and responder across three brands can find what they need. Most of your week goes to code, pipelines, and query performance rather than alert triage. The team spans the US and UK, so you will be in the room (or the thread) with IT, legal, privacy, incident response, insider risk, threat intelligence, and detection engineering on a regular basis. Very little of this work happens in isolation, and that is the fun of it. This role reports to the Senior Manager of Cyber Defense in the United States. The role includes participation in an on-call rotation for pipeline health., * Own multi-terabyte-per-day log pipelines across AWS and GCP: ingest, routing, enrichment, schema management, and onboarding new sources as the business adds them * Control ingest cost and volume, cutting noise at the edge without dropping the audit logs investigators depend on * Model security data and tune query performance in Snowflake, BigQuery, and Redshift, including the tables detection engineering builds on * Ship production services and integrations that other teams depend on: custom SIEM connectors, API clients, and automation * Set and defend SLOs for log availability and freshness, and build the dashboards and alerting that prove them * Own infrastructure as code and CI/CD for all of the above, including the deployment path that detections-as-code rides on * Build AI agents and automated runbooks that speed up triage and time to fix across cloud infrastructure * Enforce IAM and service account governance for the pipeline's cloud workloads * Lead cross-functional projects spanning infrastructure, platform engineering, and incident response * Create and maintain the standards and documentation that keep the service consistent, and mentor engineers across Cyber Defense, We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 139 - Soft and hard queries](https://www.wearedevelopers.com/magazine/487-dev-digest-139-soft-and-hard-queries) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing)