Senior Data Engineer – Scalable Pipelines & Warehouses

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

Benefits offered by this job

401(k) plan with employer matching

Paid parental leave

Wellness benefits

Comprehensive medical, dental, and vision benefits

Job summary

Doordashusa is seeking a Senior Data Engineer to enhance and scale our data infrastructure. You will collaborate with various teams to build data models and pipelines, ensuring high-quality data delivery for decision-making.

The ideal candidate has over 5 years of experience and a strong background in data engineering, with skills in Python/Java and ETL tools like Airflow. This hybrid position offers a competitive salary range and various benefits to support employee well-being.

Qualifications

• 5+ years of professional experience.
• 3+ years experience in data engineering or similar role.
• Proficiency in programming languages such as Python and Java.

Responsibilities

• Work with stakeholders to understand data requirements.
• Design, develop and implement data models and pipelines.
• Improve the reliability and scalability of ETL processes.

Skills

Programming in Python/Java

ETL orchestration and workflow management

Database fundamentals and SQL

Experience with Spark, Hive, Kafka

Excellent communication skills

Education

5+ years professional experience

Degree in relevant field or equivalent

Tools

Airflow

Snowflake

PostgreSQL

Job description

Doordashusa is seeking a Senior Data Engineer to enhance and scale our data infrastructure. You will collaborate with various teams to build data models and pipelines, ensuring high-quality data delivery for decision-making.

The ideal candidate has over 5 years of experience and a strong background in data engineering, with skills in Python/Java and ETL tools like Airflow. This hybrid position offers a competitive salary range and various benefits to support employee well-being.