Senior Data Engineer, AI Platform

🔥 7 minutes ago

🇺🇸 United States – Remote

💵 $134k - $168k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Zip Co

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💳 Fintech

🛍️ eCommerce

💸 Finance

Fintech • eCommerce • Finance

Zip Co is a global ‘Buy Now, Pay Later’ company that provides simpler and fairer payment solutions for millions of customers. With a mission to be the first payment choice everywhere and every day, Zip offers transparent, flexible, and interest-free credit to consumers and businesses. The company partners with major brands like Amazon, Best Buy, eBay, and Uber, focusing on people-centred innovation and financial empowerment.

📋 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 • 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

• 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

• 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

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