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Requirements and responsibilities
At Gopuff, data sits at the heart of our strategy. We are reimagining how people purchase everyday essentials, from snacks to household goods to alcohol, all delivered in minutes. To fuel this mission, we are seeking a Data Engineer to design, build, and scale the data systems that power insights, experimentation, and operational excellence across the company.As a Data Engineer, you will play a critical role in shaping Gopuff’s modern data platform. You’ll architect reliable pipelines, create insights ready data products, and collaborate closely with analytics, product, and engineering teams to ensure data is trustworthy, discoverable, and ready for action. This is a highly technical, hands-on role for an engineer who wants to solve complex data problems at scale and directly influence business outcomes.ResponsibilitiesDesign, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learningContribute to the architecture and maintenance of the Data Platform, ensuring systems are performant, cost-efficient and scalablePartner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impactDevelop and maintain curated, well-modeled datasets that serve as trusted sources of truth across the organizationChampion data quality, reliability, and observability by implementing best practices in testing, monitoring, lineage, and incident responseContribute to team standards, patterns, and best practicesDrive improvements to infrastructure, developer workflows, CI/CD, and data platform toolingPreferred Qualifications3-5 years of experience in data engineering or software engineering with a strong focus on data platform developmentProven experience building and scaling modern data platforms and delivering high-impact data solutionsStrong communication skills and the ability to work closely with technical and non-technical partnersPassion for building reliable, accessible, and high-quality data productsTechnical ExpertiseStrong proficiency in Python and SQLExperience with modern cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks)Experience building batch pipelines using DAG-based orchestrators (e.g., Dagster, Airflow)Experience with event-driven architectures using Kafka, Kinesis, or Event HubsExperience developing real-time or streaming pipelines using Apache Beam, Flink, or Spark StreamingExperience deploying applications and services to Kubernetes and using tools such as ArgoCD, Helm or IstioExperience implementing DevOps concepts within data workflows (CI/CD, observability, monitoring, lineage)Experience with Infrastructure-as-Code (e.g., Terraform)CompensationGopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan.Remote Base Salary Range: $118,000 - $148,000Benefits OverviewMedical/Dental/Vision Insurance 401(k) Retirement Savings PlanHSA or FSA eligibilityLong and Short-Term Disability InsuranceMental Health BenefitsFitness Reimbursement Program25% employee discount & FAM MembershipFlexible PTOGroup Life InsuranceEAP through AllOne Health (formerly Carebridge)The Gopuff Fam is committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply. We are an equal employment opportunity employer.
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