[Hiring] Senior Data Engineer @Zip

Role Description

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 using modern engineering best practices.
• Partner with Data Science, Machine Learning, Product, and Engineering leaders to deliver AI-ready data products that accelerate innovation across the business.
• Influence the future of Zip's Data & AI Platform by driving architecture, mentoring engineers, and establishing the foundations for enterprise-scale AI.
• Remote-first opportunity for US-based employees with the option to work in-person out of our Manhattan office.

Qualifications

• 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 with 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 technologies such as Kafka, Azure Event Hubs, Spark, or similar platforms.
• Strong understanding of modern data architecture patterns, including 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 also acceptable).
• Strong engineering mindset with experience in testing, CI/CD, infrastructure automation, and operational excellence.
• Proven ability to lead technical initiatives, mentor engineers, and collaborate effectively across technical and business teams.
• Strong sense of ownership and accountability for data accuracy, consistency, reliability, and quality.

Requirements

• Experience building enterprise AI platforms, Agentic AI solutions, or LLM-powered applications.
• Experience integrating enterprise LLM platforms such as Azure OpenAI, OpenAI, Anthropic, or Google Gemini.
• Familiarity with vector databases like pinecone, weaviate etc. and AI search technologies, MLOps/LLMOps, and modern AI infrastructure.
• Experience implementing data governance, metadata, lineage, and data catalog solutions.
• Experience in fintech, payments, procurement, risk, compliance, or enterprise SaaS environments.

Benefits

• 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
• Transparent pay structure with an annual base Pay Range for this position of $134,000 - $168,000.
• Potential total compensation package may include other elements, including a bonus and/or commission awards.