DoorDash US

1 month ago

Analytics Engineer, Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Analytics Engineer at DoorDash builds and scales data foundations, delivering high-quality data products and self-serve analytics tools. Collaborating with Data Engineers, Data Scientists, Software Engineers, and business partners, you’ll develop ETL/ELT pipelines, canonical datasets, and dashboards to enable fast, data-driven decision making across multiple teams.

Location: Austin, Baltimore, Chicago, Denver, Boulder, Hartford, Philadelphia, Providence, Miami

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key 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, 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

Pay and Benefits

Salary: USD 117,500 - 172,800 annually

Equity and Bonus:Equity

Perks:401kParental LeaveWellness StipendCommuter BenefitsTime OffPaid LeaveHealth InsuranceDentalVisionDisabilityLife InsuranceFamily-forming

Key Requirements

•2-6+ years of experience in business intelligence, analytics engineering, data engineering, or a similar role
•Strong proficiency in SQL for data transformation, plus experience in at least one functional/OOP language such as Python or Scala
•Experience in creating reporting and data visualizations using dashboarding tools (Looker, Tableau, Sigma)
•Familiarity with database fundamentals (S3, Trino, Hive, Spark) and SQL performance tuning
•Experience in writing data quality checks (Pydeequ, Great Expectations)

Experience:2-6 yearsData analyticsData engineeringAnalytics

Skills:CommunicationTeamworkProblem-solvingSelf-motivationAttention to detail

Languages:English

Tech Stack:SQLPythonScalaLookerTableauSigmaModeTrinoHiveSparkS3PydeequGreat Expectations

Company Brief

DoorDash US

On-demand logistics platform connecting consumers with local restaurants, grocers, and retailers for food delivery, pickup, and convenience services. Operates a marketplace and last-mile delivery network while offering tools and analytics for merchants and couriers.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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DoorDash US

1 month ago

Analytics Engineer, Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Austin, Baltimore, Chicago, Denver, Boulder, Hartford, Philadelphia, Providence, Miami

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key 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, 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

Pay and Benefits

Salary: USD 117,500 - 172,800 annually

Equity and Bonus:Equity

Perks:401kParental LeaveWellness StipendCommuter BenefitsTime OffPaid LeaveHealth InsuranceDentalVisionDisabilityLife InsuranceFamily-forming

Key Requirements

•2-6+ years of experience in business intelligence, analytics engineering, data engineering, or a similar role
•Strong proficiency in SQL for data transformation, plus experience in at least one functional/OOP language such as Python or Scala
•Experience in creating reporting and data visualizations using dashboarding tools (Looker, Tableau, Sigma)
•Familiarity with database fundamentals (S3, Trino, Hive, Spark) and SQL performance tuning
•Experience in writing data quality checks (Pydeequ, Great Expectations)

Experience:2-6 yearsData analyticsData engineeringAnalytics

Skills:CommunicationTeamworkProblem-solvingSelf-motivationAttention to detail

Languages:English

Tech Stack:SQLPythonScalaLookerTableauSigmaModeTrinoHiveSparkS3PydeequGreat Expectations

Company Brief

DoorDash US

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn