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DoorDash is seeking a Data Engineer to architect and lead the development of our next-generation data infrastructure and BI platform. In this role, you'll define the technical vision for large-scale data systems, partner closely with cross-functional teams, and ensure our platforms support the velocity and complexity of a rapidly growing business. You’ll play a critical role in scaling our data engineering practices and mentoring others across the organization.
✅ 5+ years of experience in data engineering
✅ SQL
✅ data lakes
✅ data warehouses
✅ Snowflake
✅ Redshift
✅ BigQuery
✅ Python
✅ Scala
✅ Golang
✅ Java
✅ APIs
✅ REST
✅ GraphQL
✅ analytics tooling
✅ distributed data processing systems
✅ Spark
✅ Flink
✅ Presto
✅ event streaming technologies
✅ Kafka
✅ DevOps practices
✅ CI/CD
✅ data infrastructure
✅ data modeling
✅ data orchestration
✅ data testing
✅ data monitoring
✅ data quality
✅ data observability
✅ data lineage
✅ data governance
✅ Interviews will be conducted in English
✅ Experience building and scaling data platforms in a high-growth environment
✅ Experience designing and scaling ELT/ETL frameworks
✅ Orchestration tools like Airflow, Dagster
✅ Exposure to data mesh concepts
✅ Domain-oriented data architecture
✅ Systems mindset
✅ Hands-on experience with data observability tools
✅ Collaboration with cross-functional stakeholders
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Vaga via: LinkedIn
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