Gopuff logoG

Data Engineer

Gopuff

Remote · USAFull Time$118k–$148k
Apply with OnJob Free profile · takes about a minute

Data Engineer at Gopuff is a full time role based in Remote · USA (remote). The listing states pay of $118k–$148k. It was published on 16 August 2026 and was open at last check.

Data Engineer at Gopuff — key details
RoleData Engineer
CompanyGopuff
LocationRemote · USA (remote)
Employment typeFull Time
Pay (as listed)$118k–$148k
Published16 August 2026
StatusOpen at last check

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)

Compensation

Additional Information

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.

Share:WhatsAppLinkedIn

Create your free OnJob profile to apply — we'll take you to Gopuff's application after sign-up. · Posted 16 Aug 2026.

Data Engineer at Gopuff — questions answered

What does the Data Engineer role at Gopuff pay?

The Data Engineer at Gopuff listing states pay of $118k–$148k for the Remote · USA (remote) position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles.

Is the Data Engineer role at Gopuff remote?

Yes — Gopuff advertises this Data Engineer role as remote, tied to Remote · USA, and it is listed as full time work. Remote terms come from the employer's own posting, so confirm the expected working hours, timezone and any on-site days with Gopuff before you apply.

Is the Data Engineer role at Gopuff still open?

The Data Engineer posting at Gopuff was open at OnJob's last check of the employer's careers page, having been published on 16 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.

How do you apply for the Data Engineer role at Gopuff?

Apply to the Data Engineer at Gopuff role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to Gopuff's own application page. Creating a profile is free and needs no card.

Explore more on OnJob

Hiring for a role like this?

Post a job on OnJob and reach AI-matched candidates.

Post a Job