Analytics Engineer: Build Scalable Data Foundations

DoorDash; Austin (TX); On-site; USD 117,500 - 172,800; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks paid parental leave

Wellness benefits

Paid time off

Job summary

DoorDash is looking for an Analytics Engineer based in Austin, Texas. In this role, you'll build and scale data foundations, collaborating with data scientists, engineers, and product managers to provide actionable insights that support decision-making across teams.

The ideal candidate has 2-6 years of experience in analytics engineering and proficiency in SQL and Python. This role includes opportunities for equity and a comprehensive benefits package that supports employee well-being.

Qualifications

• 2-6+ years of experience in business intelligence or analytics engineering.
• Proficiency in SQL and one OOP language.
• Experience in reporting and data visualization.

Responsibilities

• Collaborate with teams to understand business needs.
• Develop structured solutions for business questions.
• Lead development of self-serve analytics tools.
• Build reliable ETL/ELT pipelines.
• Design metrics and visualizations.

Skills

SQL

Python

Data visualization (Tableau, Sigma)

Data integrity checks

Strong communication

Tools

Looker

S3

Hive

Spark

Job description

DoorDash is looking for an Analytics Engineer based in Austin, Texas. In this role, you'll build and scale data foundations, collaborating with data scientists, engineers, and product managers to provide actionable insights that support decision-making across teams.

The ideal candidate has 2-6 years of experience in analytics engineering and proficiency in SQL and Python. This role includes opportunities for equity and a comprehensive benefits package that supports employee well-being.