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Gopuff is the go-to platform for consumers' everyday needs. We deliver, so you can enjoy the moment.
The Role
Design, build, and maintain scalable batch and real-time data pipelines and platform components. Produce curated datasets, ensure data quality, observability, and lineage, and collaborate cross-functionally to deliver data products that support analytics, experimentation, and ML.
Summary Generated by Built In
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.
Responsibilities
- Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning
- Contribute to the architecture and maintenance of the Data Platform, ensuring systems are performant, cost-efficient and scalable
- Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact
- Develop and maintain curated, well-modeled datasets that serve as trusted sources of truth across the organization
- Champion data quality, reliability, and observability by implementing best practices in testing, monitoring, lineage, and incident response
- Contribute to team standards, patterns, and best practices
- Drive improvements to infrastructure, developer workflows, CI/CD, and data platform tooling
Preferred Qualifications
- 3-5 years of experience in data engineering or software engineering with a strong focus on data platform development
- Proven experience building and scaling modern data platforms and delivering high-impact data solutions
- Strong communication skills and the ability to work closely with technical and non-technical partners
- Passion for building reliable, accessible, and high-quality data products
Technical Expertise
- Strong proficiency in Python and SQL
- Experience 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 Hubs
- Experience developing real-time or streaming pipelines using Apache Beam, Flink, or Spark Streaming
- Experience deploying applications and services to Kubernetes and using tools such as ArgoCD, Helm or Istio
- Experience implementing DevOps concepts within data workflows (CI/CD, observability, monitoring, lineage)
- Experience with Infrastructure-as-Code (e.g., Terraform)
Compensation
- Gopuff 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 - $148,000
Benefits Overview
- Medical/Dental/Vision Insurance
- 401(k) Retirement Savings Plan
- HSA or FSA eligibility
- Long and Short-Term Disability Insurance
- Mental Health Benefits
- Fitness Reimbursement Program
- 25% employee discount & FAM Membership
- Flexible PTO
- Group Life Insurance
- EAP through AllOne Health (formerly Carebridge)
The only predictable thing about life is that it’s wildly unpredictable. That’s where we come in. When life does what it does best, customers turn to Gopuff to deliver their everyday essentials, and to get through their day & night, work day and weekend. We’re assembling a team of thinkers, dreamers & risk-takers...the kind of people who know the value of peace of mind in an unpredictable world. (And people who love snacks.)
Like what you’re hearing? Welcome to Gopuff.
#LI-GOPUFF
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.
Skills Required
- Strong proficiency in Python and SQL
- Experience with modern cloud data warehouses and lakes (Snowflake, BigQuery, Databricks)
- Experience building batch pipelines using DAG-based orchestrators (Dagster, Airflow)
- Experience with event-driven architectures using Kafka, Kinesis, or Event Hubs
- Experience developing real-time or streaming pipelines using Apache Beam, Flink, or Spark Streaming
- Experience deploying applications and services to Kubernetes and using tools such as ArgoCD, Helm or Istio
- Experience implementing DevOps concepts within data workflows (CI/CD, observability, monitoring, lineage)
- Experience with Infrastructure-as-Code (Terraform)
- 3-5 years of experience in data engineering or software engineering with a strong focus on data platform development
- Proven experience building and scaling modern data platforms and delivering high-impact data solutions
- Strong communication skills and ability to work closely with technical and non-technical partners
- Passion for building reliable, accessible, and high-quality data products
Gopuff Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Gopuff and has not been reviewed or approved by Gopuff.
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Healthcare Strength — Healthcare coverage is described as comprehensive for eligible employees, spanning medical, dental, vision, mental-health support via an EAP, and life/disability insurance. Family-building support is also included through fertility and surrogacy benefits.
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Retirement Support — Retirement benefits include a 401(k) plan with an employer match that is described as immediately vested. Equity is also noted for some employees through RSUs and performance-related rewards.
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Parental & Family Support — Parental leave is characterized as robust, with fully paid leave periods for birth and non-birth/intended parents. Childcare benefits are also referenced as available for working parents.
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The Company
What We Do
Gopuff is the go-to solution for immediate everyday needs, fulfilling customer orders of cleaning and home products, over-the-counter medications, baby and pet products, food and drinks, and in some markets, alcohol – in just minutes. With micro-fulfillment centers in every market it serves, the company delivers thousands of products quickly for a flat $2.95 delivery charge. Gopuff is open 24/7 in many markets and late-night everywhere else to bring customers what they need when they need it most. Gopuff was founded in 2013 by co-CEOs Rafael Ilishayev and Yakir Gola when they were college students at Drexel University. The Philadelphia-based company now operates more than 600 micro-fulfillment centers in more than 1000 markets across the United States, including Chicago and its suburbs. It has raised more than $3.4B in funding.
Why Work With Us
We are the instant needs category creator, delivering in about 30 minutes for a $2.95 delivery fee. Our business model sets us apart: we own the products we sell and house them locally in our own micro-fulfillment centers. We have an entrepreneurial culture and constantly innovate to build new categories that improve customer experience.
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