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Zip Co

Senior Data Engineer, AI Platform

Zip Co

. Shape the data platform powering analytics, machine learning, Generative AI, and Agentic AI for millions of customers and internal teams .

Posted 11/3/2026full-timeRemote • United StatesSenior💰 $134,000 - $168,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building enterprise-scale data platforms, with a strong focus on cloud-native infrastructure, data modeling, and AI-ready data products. Proven ability to lead technical initiatives and mentor teams while ensuring data accuracy and governance.

Highest-signal resume keywords
Cloud Data PlatformsAdvanced SQLPython ProgrammingData ModelingStreaming Architectures

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DevelopmentELT/ETL DevelopmentDimensional ModelingMetadata ManagementOperational ExcellenceCI/CDInfrastructure AutomationVector SearchRetrieval-Augmented GenerationTesting
Soft Skills
MentoringCollaborationOwnershipAccountability
Tools & Technologies
SnowflakeDatabricksMicrosoft FabricBigQueryRedshiftKafkaAzure Event HubsSparkAirflowDagster
Industry Keywords
Data GovernanceObservabilityAI and Machine LearningLakehouse TechnologiesOpen Table Formats

Tech Stack

Tools & technologies
AirflowAmazon RedshiftApacheAWSAzureBigQueryCloudETLGoogle Cloud PlatformKafkaPythonSnowflakeSparkSQL

About the role

Key responsibilities & impact
  • Shape the data platform powering analytics, machine learning, Generative AI, and Agentic AI for millions of customers and internal teams
  • Build scalable, cloud-native data infrastructure across batch, streaming, structured, and unstructured workloads
  • Partner with Data Science, Machine Learning, Product, and Engineering leaders to deliver AI-ready data products
  • Design, build, and scale Zip’s enterprise Data & AI Platform
  • Develop scalable data pipelines and architectures for structured, unstructured, batch, and real-time workloads
  • Build AI-ready data products, semantic models, and retrieval capabilities for intelligent agents and AI-powered applications
  • Design and optimize vector search, hybrid search, and Retrieval-Augmented Generation (RAG) capabilities
  • Implement streaming and event-driven solutions for near real-time insights, operational intelligence, fraud detection, and risk monitoring
  • Establish best practices for data modeling, testing, observability, governance, security, and platform reliability
  • Drive self-service and automation to improve developer productivity and time-to-insight
  • Partner with cross-functional teams to deliver trusted, high-quality data solutions
  • Mentor engineers, influence architecture decisions, and define the future direction of Zip’s data platform

Requirements

What you’ll need
  • 8+ years of experience designing, building, and operating enterprise-scale data platforms
  • Deep expertise with modern cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, BigQuery, Redshift, or similar technologies
  • Advanced SQL and Python skills
  • Strong experience in data modeling, ELT/ETL development, dbt, and orchestration frameworks such as Airflow, Dagster, or equivalent
  • Experience building scalable streaming and event-driven architectures using Kafka, Azure Event Hubs, Spark, or similar platforms
  • Strong understanding of dimensional modeling, semantic layers, data governance, metadata management, and platform observability
  • Experience supporting AI and machine learning workloads through AI-ready data models, vector search, metadata enrichment, Retrieval-Augmented Generation (RAG), and knowledge retrieval systems
  • Experience with modern lakehouse technologies and open table formats such as Apache Iceberg, Delta Lake, or similar technologies
  • Hands-on experience with cloud platforms; Azure preferred, AWS or GCP acceptable
  • Experience in testing, CI/CD, infrastructure automation, and operational excellence
  • Proven ability to lead technical initiatives, mentor engineers, and collaborate across technical and business teams
  • Strong ownership and accountability for data accuracy, consistency, reliability, and quality
  • Visa sponsorship is not available for this position

Benefits

Comp & perks
  • Flexible working culture
  • Incentive programs
  • Unlimited PTO
  • Generous paid parental leave
  • Leading family support policies
  • Company-sponsored 401k match
  • Learning and wellness subscription stipend
  • Beautiful Union Square office with a casual dress code
  • Industry-leading, employer-sponsored insurance for you and your dependents, with several 100% Zip-covered choices available
  • Additional premium percentages may apply based on the tiered premium strategy
  • Bonus and/or commission awards may be included in the total compensation package