Senior Software Engineer, Data Engineering

Doordashusa
San Francisco +2 more
On-site

Who this role is best for

A natural match if you have experience building data infrastructure and working in fast-paced environments.

Best fit for

  • Candidates with 5+ years of data engineering experience and a track record in ETL orchestration and data pipeline development
    — “5+ years of professional experience”
  • Individuals who have led data product portfolios and ensured data reliability and trustworthiness
    — “Manage a portfolio of data products that deliver high-quality, trustworthy data”
  • Professionals with a strong background in distributed computing and cloud-based ETL tools
    — “3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP”

Things to consider

  • The role may require in-office presence at least part-time due to the hybrid nature of the position
    — “This is a hybrid position and [REDACTED] be located in Sunnyvale, San Francisco, or Seattle”
  • Compensation range is wide and location-dependent, which may affect expectations
    — “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.”

How to stand out

  • Highlight experience with Snowflake, Redshift, and Kafka in your resume and interviews
    — “Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms”
  • Demonstrate ability to onboard and support engineers through collaborative project examples
    — “Help onboard and support other engineers as they join the team”
  • Emphasize your strategic thinking and ability to interpret market data in your application materials
    — “Ability to think strategically, analyze and interpret market and consumer information”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Work with business partners and stakeholders to understand data requirements
  • Design, develop and implement large scale, high volume, high performance data models and pipelines
  • Manage a portfolio of data products
Typical background
5+ years of professional experience3+ years experience working in data engineering

Skills & requirements

Required

Large Scale, High Volume, High Performance Data Models And PipelinesETL Orchestration And Workflow ManagementDatabase FundamentalsDistributed ComputingStreaming TechnologiesData Quality ChecksMonitoring Routines

Preferred

Knowledge Of Reporting Tools Such As Tableau, Superset And Looker

Stack & domain

Data ModelsPipelinesData Warehouse ArchitecturesData Quality ChecksQAMonitoring RoutinesETL ProcessesData EngineeringBusiness IntelligenceETL OrchestrationWorkflow Management ToolsAWSGCPDatabase FundamentalsSQLDistributed ComputingDistributed DataStreaming TechnologiesSnowflakeRedshiftPostgreSQLReporting ToolsTableauSupersetLookerCommunicationProblem-solvingTeamworkStrategic ThinkingAnalysisInterpretationMarket And Consumer InformationData-driven AnalysisFinanceCardsPaymentsFintechCryptocurrencyVirtual CardsPhysical CardsDigital WalletsApple PayGoogle PayRegional Wallet ProvidersCard Supply ChainVendor EcosystemCommercial AgreementsPricing StructuresPayment PartnersFinancial InstitutionsLaunch SopsOperational ProcessesEscalation MechanismsGTM StrategyProduct AnalyticsMarketing OptimizationFinancial ReportingData ProductsData InfrastructureAutomationTools

About the role

Original posting from Doordashusa via Greenhouse

About the Team

Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

About the Role

DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle.

You're excited about this opportunity because you will...

Work with business partners and stakeholders to understand data requirements

Work with engineering, product teams and 3rd parties to collect required data

Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse

Develop and implement data quality checks, conduct QA and implement monitoring routines

Improve the reliability and scalability of our ETL processes

Manage a portfolio of data products that deliver high-quality, trustworthy data

Help onboard and support other engineers as they join the team

We're excited about you because...

5+ years of professional experience

3+ years experience working in data engineering, business intelligence, or a similar role

Proficiency in programming languages such as Python/Java

3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP

Expert in Database fundamentals, SQL and distributed computing

3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.

Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms

Excellent communication skills and experience working with technical and non-technical teams

Knowledge of reporting tools such as Tableau, Superset and Looker

Comfortable working in fast paced environment, self starter and self organizing

Ability to think strategically, analyze and interpret market and consumer information

You must be located near one of our engineering hubs indicated above

Applications for this position are accepted on an ongoing basis

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.

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.

To learn more about our benefits, visit our careers page here.

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 at 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.$143,800—$211,500 USDAbout DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

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.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023.  We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.

Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Source: Doordashusa careers (Greenhouse)

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