Data Engineer - Data Pipelines & Warehousing

D8 LooP; Sunnyvale (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

DoorDash is seeking a Software Engineer for Data Engineering in the San Francisco Bay Area, including Sunnyvale and Seattle. You will design, build and optimize scalable data pipelines, data models and data warehouse architectures to support reporting, product analytics and financial reporting.

You will use Python and SQL with Spark for large-scale processing, and work on streaming workloads with Kafka and Flink.

Qualifications

• 3+ years in data engineering or equivalent experience.
• Experience with ETL orchestration and workflow management tools.
• Proficiency in Python and SQL for data processing.
• Strong knowledge of Spark and distributed data systems.
• Experience with streaming platforms and data warehousing.

Responsibilities

• Design and implement large-scale data pipelines and data models.
• Collaborate on data lake and data warehouse architectures.
• Ensure data quality and monitoring across pipelines.

Skills

Python

SQL

Spark

Streaming technologies

Tools

Airflow

Flink

Oozie

Azkaban

Kafka

Tableau

Looker

Superset

Job description

DoorDash is seeking a Software Engineer for Data Engineering in the San Francisco Bay Area, including Sunnyvale and Seattle. You will design, build and optimize scalable data pipelines, data models and data warehouse architectures to support reporting, product analytics and financial reporting.

You will use Python and SQL with Spark for large-scale processing, and work on streaming workloads with Kafka and Flink.