Data Engineer at Gopuff - Modern Stack Career Growth in Columbus
Career & Market Insight
Career Trajectory: This mid-level data engineering role (3–5 years experience) sits at a high-impact intersection of data platform architecture and cross-functional product work. It's an excellent springboard toward Staff/Principal Data Engineer or Data Platform Lead roles.
Skills in High Demand: The tech stack here — Snowflake/BigQuery/Databricks, Kafka, Kubernetes, Terraform, Dagster/Airflow, and streaming frameworks like Flink — represents the modern data engineering toolkit. These are among the most sought-after skills in the 2024–2025 job market, with strong demand across fintech, e-commerce, and SaaS companies.
Compensation vs. Market: At $118,000–$148,000, this is competitive but slightly below top-of-market for engineers with this stack at high-growth tech companies (Levels.fyi shows P3/P4 data engineers at comparable companies earning $140,000–$180,000 total). However, the equity plan and annual bonus add meaningful upside, especially if Gopuff pursues a future liquidity event.
Company & Culture Signals:
- Green flag: Emphasis on data quality, observability, and reliability suggests a mature engineering culture, not cowboy coding.
- Green flag: Cross-functional collaboration with analytics, product, and ops gives broad exposure beyond pure infrastructure work.
- Watch for: Gopuff has gone through significant restructuring in 2022–2023; verify current growth trajectory and team stability before committing.
Work-Life Balance: Flexible PTO and a fully remote setup are positive signals. Mental health benefits and an EAP suggest some investment in employee wellbeing.
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
- 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)
- 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
- 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.
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.
Frequently Asked Questions
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