Analytics Engineer
$117.5k - $172.8kDoorDash
About the TeamThe 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 RoleAs 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 requirementsIdentify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve themLead the development of data products and self-serve tools that enable analytics to scale across the companyBuild and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing conceptsDesign metrics and data visualizations with dashboarding tools like Tableau, Sigma, and ModeBe a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardizationWe’re excited about you because…3+ years of experience working in business intelligence, analytics engineering, data engineering or a similar roleStrong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or ScalaExpertise 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 tuningExperience 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 teamsComfortable working in fast paced environment, self starter and self organizingAbility to think strategically, analyze and interpret market and consumer informationMust 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 HaveExperience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performanceExperience 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 requirementsNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use 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 provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe 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.$117,500—$172,800 USDAbout DoorDashAt 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 InclusionWe’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 OnlyWe 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:.
$135k - $180k
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...work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and... ...You Will DoThe ideal candidate will possess a perfect blend of analytics and data engineering expertise, along with strong skills in developing...Work experience placementWork at officeLocal areaRemote workMonday to FridayFlexible hours3 days per week$200k - $240k
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- ...redefine computing. About the Role We\'re seeking our first data analytics hire to establish and own the data foundation for our rapidly... ...in AI infrastructure or related technical domains Data engineering skills or familiarity with data pipeline development Experience...Full time
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$204k - $301k
...neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.Meet Your Future NeighborsThe Analytics Engineering team at Nextdoor transforms diverse data sources into solutions for business challenges. As a lean yet impactful team, we cover...Work at officeLocal areaWork from homeShift work$175k - $200k
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$170k - $190k
...Americans build financial resilience. Our Data team sits at the center of every product, pricing, and promotion decision — and Analytics Engineering is the foundation that makes trustworthy, consistent data possible across the company. As our Senior Analytics Engineer, you...Contract workLocal areaFlexible hours- ...Gong is seeking a Senior Analyst, Analytics engineering to empower our analytics community by building, maintaining, and governing a data warehouse of operational and financial data. You’ll partner with Data Ops to develop a semantic layer and AI-driven self-service analytics...
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$112.5k - $150k
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