Senior Data Engineer, AI Platform
New
Z
ZipFinancial Services
Remote-first opportunity for US-based employeesFull-TimeSenior
Salary$134,000 - $168,000
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Job Details
- Experience
- 8+ years
- Required Skills
- PythonSQLCloud ComputingETLKafkaAirflowSparkData modelingdbt
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, or Redshift.
- Advanced SQL and Python skills with strong experience in data modeling, ELT/ETL development, and dbt.
- Experience with orchestration frameworks such as Airflow or Dagster.
- Experience building scalable streaming and event-driven architectures using Kafka, Spark, or similar platforms.
- Strong understanding of dimensional modeling, semantic layers, data governance, and metadata management.
- Experience supporting AI workloads through AI-ready data models, vector search, and Retrieval-Augmented Generation (RAG).
- Experience with lakehouse technologies and open table formats like Apache Iceberg or Delta Lake.
- Hands-on experience with cloud platforms (Azure preferred; AWS or GCP acceptable).
- Strong engineering mindset with experience in testing, CI/CD, and infrastructure automation.
Responsibilities
- Design, build, and scale Zip's enterprise Data & AI Platform supporting analytics, machine learning, Generative AI, and Agentic AI initiatives.
- Develop scalable data pipelines and architectures for structured, unstructured, batch, and real-time data workloads.
- Build AI-ready data products, semantic models, and retrieval capabilities that enable 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 business insights and operational intelligence.
- Establish engineering best practices for data modeling, testing, observability, governance, security, and platform reliability.
- Partner with cross-functional teams to deliver high-quality data solutions and mentor engineers.
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