Analytics Engineer, Data Science

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

Benefits offered by this job

401(k) plan with employer matching

16 weeks of paid parental leave

Wellness benefits

Paid time off and sick leave

Medical, dental, and vision benefits

Job summary

Doordashusa is looking for an Analytics Engineer to build and scale data foundations that support actionable insights. You'll collaborate with various teams, delivering trusted data for decision-making. A successful candidate will have 2-6+ years of experience in analytics or related fields and be proficient in SQL and at least one programming language.

The position offers a competitive salary between $117,500 and $172,800 based on experience and location, alongside comprehensive benefits including paid parental leave and medical insurance.

Qualifications

• 2-6+ years of experience in business intelligence, analytics engineering, or data engineering.
• Expertise in SQL for data transformation and experience with at least one programming language.
• Ability to develop compelling dashboards and data visualizations.

Responsibilities

• Collaborate with teams to understand business needs and translate into data requirements.
• Identify key business questions and generate insights through structured solutions.
• Lead development of data products and self-serve analytics tools.

Skills

SQL for data transformation

Python or Scala

Data visualization solutions

Database fundamentals (e.g., S3, Trino, Hive, Spark)

Data quality checks

Strong communication skills

Self-starter

Strategic thinking

Tools

Tableau

Looker

Sigma

Job description

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 and drive end‑to‑end analytics initiatives 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 are comfortable being deeply embedded across several domains, this role is for you!

Responsibilities

• 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

Qualifications

• 2‑6+ 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
• Experience 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)
• Strong 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

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.

National base pay range for this position within the United States, including Illinois and Colorado: $117,500 – $172,800 USD.

Benefits

DoorDash offers 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.

Pay 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 at about 1 hour for every 25.97 hours worked; paid sick time accrued at 1 hour for every 30 hours worked.

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 from ever gaining a foothold in our office. We value a diverse workforce and encourage qualified applicants from all backgrounds to apply.