Senior Data Engineer, Data Pipelines & Lakes (Hybrid)

Fairygodboss; San Francisco (CA); Hybrid; USD 130,600 - 192,000; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks paid parental leave

Wellness benefits

Paid time off and sick leave

Medical, dental, and vision benefits

Job summary

DoorDash is seeking a Senior Data Engineer to enhance its data infrastructure and automate scaling operations. This hybrid role requires candidates to be based in Sunnyvale, San Francisco, or Seattle.

The successful candidate will have significant experience in data engineering, expertise in programming with Python or Java, as well as proficiency in various database systems. Benefits include a comprehensive package with parental leave, wellness initiatives, and more.

Qualifications

• 5+ years of professional experience.
• 3+ years experience in data engineering or business intelligence.
• Experience working with streaming technologies such as Kafka or Flink.

Responsibilities

• Understand data requirements from business partners and stakeholders.
• Design, develop, and implement data models and pipelines.
• Improve the reliability and scalability of ETL processes.

Skills

Python or Java proficiency

ETL orchestration and workflow management

Database fundamentals and SQL

Experience with distributed data ecosystems

Knowledge of reporting tools (Tableau, Superset, Looker)

Excellent communication skills

Tools

Airflow

AWS or GCP

Snowflake or Redshift

Job description

DoorDash is seeking a Senior Data Engineer to enhance its data infrastructure and automate scaling operations. This hybrid role requires candidates to be based in Sunnyvale, San Francisco, or Seattle.

The successful candidate will have significant experience in data engineering, expertise in programming with Python or Java, as well as proficiency in various database systems. Benefits include a comprehensive package with parental leave, wellness initiatives, and more.