Hiring: Data Engineer Company: Gopuff Location: United States Job Posted Time: 2026-09-16 13:20:44 Employment Type: Remote Target Skills & Keywords : AI, Airflow, Apache, ArgoCD, BigQuery, CI/CD, Dagster, Data Pipeline, Data Warehouse, Databricks, Event-Driven, Flink, Helm, Istio, Kafka, Kinesis, Kubernetes, Machine Learning, Python, SQL, Snowflake, Spark, Terraform About the job Experience: •3-5 years of experience in data engineering or software engineering with a strong focus on data platform development •5 years of experience in data engineering or software engineering with a strong focus on data platform development Required Skills: •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 Qualifications: •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 Compensation: •$118,000 - $148,000 / year •Flexible work environment (work from home / hybrid options) •This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!