Senior Software Engineer, Data Engineering

D8 LooP; Sunnyvale (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks of paid parental leave

Wellness benefits

Commuter benefits match

Paid time off

Paid sick leave

Job summary

DoorDash is seeking a Senior Software Engineer, Data Engineering to join a team building database solutions for reporting, product analytics, marketing optimization and financial reporting. You will design and implement large-scale data pipelines and data warehouses, ensure data quality, and support analytics across the platform.

The role requires 5+ years in data engineering, with strong Python, SQL, Spark, and ETL orchestration skills, plus experience with Airflow, Flink, Oozie or Azkaban in

Qualifications

• 3+ years in ETL orchestration with Airflow, Flink, Oozie or Azkaban (AWS/GCP).
• Develop and implement data quality checks, QA and monitoring routines.
• Proficiency in Python and SQL with strong Spark experience.
• Experience with data warehousing and large-scale data models.

Responsibilities

• Design, develop and implement large-scale data pipelines and data warehouse architectures for reporting, analytics and financial data.
• Develop data quality checks, QA processes and monitoring routines to ensure data integrity.
• Collaborate with analytics teams to enable reporting and product analytics across platforms.

Skills

Python

SQL

Spark

Data modeling

ETL orchestration

Data quality checks

Monitoring

Tools

Airflow

Flink

Oozie

Azkaban

Tableau

Superset

Looker

Kafka

AWS

GCP

Job description

DoorDash · job-boards.greenhouse.io · checked today

Senior Software Engineer, Data Engineering

San Francisco, CA; Sunnyvale, CA; Seattle, WA Senior 5+ yrs Data Engineer posted 3 d ago

Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures;

Skills, with evidence

• Airflow / orchestration 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP must have
• Develop and implement data quality checks, conduct QA and implement monitoring routines must have
• Python Proficiency in programming languages such as Python/Java must have
• SQL Expert in Database fundamentals, SQL and distributed computing must have
• Spark 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. must have
• Streaming 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Warehousing By implementing pipelines, data structures, and data warehouse architectures;
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines
• AWS 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP not practised here
• Knowledge of reporting tools such as Tableau, Superset and Looker not practised here
• Governance & security That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. not practised here