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Jobs(38,923)/Data Engineer Role(640)/Gopuff (3) - Data Engineer
Gopuff

Gopuff - Data Engineer

United States$118k - $148k+ Equity3mo ago
In OfficeMidNAArtificial IntelligenceData AnalyticsData EngineerForesterSQLPythonSnowflakeAirflowDatabricks

Requirements

• 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)

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

Benefits

• 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 • Fitness Reimbursement Program • 25% employee discount & FAM Membership • 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. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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