Job Title: Data Engineer

Company Name: Gopuff

Job Details: $118-148kOffers,discretionary,annual,cash,bonus,and,participation,in,Gopuff’s,equity,incentive,planSQLKubernetesPythonKafkaAirflowTerraformSparkSnowflakeFlinkKinesisBigQueryMid,and,Senior,levelRemote,from,US

Job Url: https://app.welcometothejungle.com/jobs/0tGYmZgW?theme=has-salaries

Job Description: Role
Who you are
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
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)
What the job involves
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 Senior 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
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

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Insights

Top investors

-11% employee growth in 12 months

Glassdoor (2.7)

Company

Funding (last 2 of 11 rounds)

Nov 2025

$250m
LATE VC

Dec 2021

$1.5bn
CONVERTIBLE

Total funding: $5.2bn

Our take

Gopuff was an early player in the last-mile delivery space, offering consumers access to a wide range of consumer goods (including food and alcohol) with delivery in ~30 minutes through its network of micro fulfillment centers, from which a fleet of drivers pick up and drop off orders.
Gopuff currently operates in over 1,000 cities and is adding more. The company has also made several strategic acquisitions to charge its growth – including UKs Fancy and Dija, and US BevMo!. However, the company faces increased competition on all sides, from Getir (who recently acquired Gorillas), Glovo, and Zapp, as well as high operating costs.

To combat its competition, the company has added a range of new capabilities to its platform, launching features to eliminate former pain points by including advance order scheduling, gifting, and in-store pickup.

Freddie
Company Specialist at Welcome to the Jungle