Analytics Engineer: Build Scalable Data Foundations

DoorDash; Chicago (IL); On-site; USD 117,500 - 172,800; Full time

Benefits offered by this job

401(k) plan with employer matching

Paid parental leave

Wellness benefits

Paid time off

Job summary

DoorDash is seeking an Analytics Engineer to enhance data foundations for actionable insights in Chicago. You will collaborate with data scientists and engineers, leading key analytics initiatives. The ideal candidate has 2-6+ years in analytics engineering and strong SQL skills.

Benefits include comprehensive health plans, 401(k) with matching, and flexible paid time off. The base salary ranges from $117,500 to $172,800, depending on experience.

Qualifications

• 2-6+ years of experience working in business intelligence or data engineering.
• Strong proficiency in SQL and at least one programming language.
• Experience in data visualization with dashboarding tools.

Responsibilities

• Collaborate with data scientists and stakeholders to understand business needs.
• Lead development of data products and self-serve tools.
• Build and maintain ETL/ELT pipelines.

Skills

SQL for data transformation

Python

Data visualization with Tableau

Data integrity checks

Strong communication skills

Education

2-6+ years in analytics engineering

Tools

Tableau

Looker

SQL performance tuning

Job description

DoorDash is seeking an Analytics Engineer to enhance data foundations for actionable insights in Chicago. You will collaborate with data scientists and engineers, leading key analytics initiatives. The ideal candidate has 2-6+ years in analytics engineering and strong SQL skills.

Benefits include comprehensive health plans, 401(k) with matching, and flexible paid time off. The base salary ranges from $117,500 to $172,800, depending on experience.