Analytics Engineer: Scalable Data Foundations & Dashboards

DoorDash; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

401(k) with employer matching

16 weeks paid parental leave

Wellness benefits

Job summary

DoorDash is hiring an Analytics Engineer in San Francisco to build and scale data foundations that drive insights across the organization. The ideal candidate will collaborate with various teams to translate business needs into data solutions and lead the development of self-serve analytics tools.

Successful candidates will possess strong SQL skills and 3+ years of experience in analytics or engineering. Comprehensive benefits include flexible paid time off, 401(k) matching, and equity opportunities.

Qualifications

• 3+ years of experience in business intelligence, analytics engineering, or data engineering.
• Strong SQL and familiarity with Python or Scala.
• Expertise in data visualization and dashboarding.

Responsibilities

• Collaborate with teams to understand business needs and data requirements.
• Build and maintain ETL/ELT pipelines and canonical datasets.
• Design metrics and data visualizations to provide insights.

Skills

SQL proficiency

Python/Scala proficiency

Data visualization tools

Data quality checks

Excellent communication skills

Analytical thinking

Education

3+ years in business intelligence or related fields

Tools

Tableau

Looker

Airflow

Job description

DoorDash is hiring an Analytics Engineer in San Francisco to build and scale data foundations that drive insights across the organization. The ideal candidate will collaborate with various teams to translate business needs into data solutions and lead the development of self-serve analytics tools.

Successful candidates will possess strong SQL skills and 3+ years of experience in analytics or engineering. Comprehensive benefits include flexible paid time off, 401(k) matching, and equity opportunities.