Gopuff via Lever

Data Engineer

Level not stated $118k–148k/yr United States

still open verified 12h ago posted 179d ago checked 2h ago

Apply at jobs.lever.co

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 12h ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 179d ago

The date the source published, not the day we noticed it (2026-03-19). Last seen at its source 2h ago.

Is it remote?

Marked remote on the employer's board

Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.

Who may apply?

United States

The description states no restriction of its own. This is the source's own tag.

Pay

$118k–148k/yr

Published by the source in its own salary field. Shown in the posting's own currency and period; we never convert.

Skills named in the ad

A/B TestingAirflowBigQueryCI/CDDatabricksDevOpsETLIncident ManagementKafkaKubernetesMachine LearningObservabilityPythonSQLSnowflakeSparkTerraform

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

lever employer's own board first seen 30d ago · last seen 2h ago

The listing

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.