Analytics Engineer

DoorDash USA; Sunnyvale, Seattle, San Francisco (CA, WA, CA); Hybrid; USD 117,500 - 172,800; Full time

Benefits offered by this job

401(k) plan with employer matching

Paid parental leave

Wellness benefits

Medical, dental, and vision benefits

Job summary

DoorDash USA is seeking an Analytics Engineer to build and scale data foundations for actionable insights. The ideal candidate should have over 3 years of experience in analytics engineering, excellent SQL skills, and the ability to create compelling data visualizations.

The role involves collaborating across teams, developing data products, and maintaining ETL/ELT pipelines. This hybrid position offers a competitive salary between $117,500 - $172,800 and a comprehensive benefits package.

Qualifications

• 3+ years of experience in business intelligence or analytics engineering.
• Strong proficiency in SQL and a functional/OOP language like Python.
• Expertise in data visualization tools and SQL performance tuning.

Responsibilities

• Collaborate to define data requirements based on business needs.
• Lead the development of data products and self-serve tools.
• Build and maintain high-volume ETL/ELT pipelines.

Skills

SQL for data transformation

Python or Scala

Data visualization tools (Tableau, Sigma)

Data quality checks

Education

3+ years in business intelligence or analytics engineering

Tools

Looker

Airflow

Job description

San Francisco, CA; Sunnyvale, CA; Seattle, WA

About the Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision‑making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high‑impact, data‑driven solutions across Product, Operations, Finance, and more.

About the Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end‑to‑end analytics initiatives; working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision‑making at all levels of the company. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you!

You’re excited about this opportunity because you will…

• Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
• Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
• Lead the development of data products and self‑serve tools that enable analytics to scale across the company
• Build and maintain canonical datasets by developing high‑volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
• Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
• Be a cross‑functional champion at upholding high data integrity standards to increase reusability, readability and standardization

We’re excited about you because…

• 3+ years of experience working in business intelligence, analytics engineering, data engineering or a similar role
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
• Expertise in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning
• Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
• Excellent communication skills and experience working with technical and non‑technical teams
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities.

Nice to Have

• Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance
• Experience building multi‑step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster, DBT)
• Familiarity with experimentation concepts like A/B testing and their data requirements

Compensation

The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job‑related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market‑dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

Benefits

DoorDash cares about you and your overall well‑being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family‑forming assistance, and a mental health program, among others.

See below for paid time off details:

• For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
• For hourly roles: vacation accrued about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

The national base pay range for this position within the United States, including Illinois and Colorado.

$117,500 - $172,800 USD

Statement of Non-Discrimination

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non‑binary or gender non‑conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently‑abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non‑discrimination.

Equal Employment Opportunity

We carry out employment practices consistent with state and local laws. We will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.