NMI is hiring a Data Engineer (USA / Israel)

A performance marketing disruptor is seeking a hands-on Data Engineer to develop and expand the data and machine learning platform that drives product decisions and production models. As a Data Engineer, you'll collaborate directly with the Data Science Manager, Data Science, and Product teams. The role demands proven experience constructing highly scalable ETL pipelines using Databricks and AWS, with a track record of designing, implementing, and maintaining large-scale data infrastructure in production environments. This position is preferably located in Israel, but exceptional candidates from the U.S. will be considered. Our Mission: Our organization aims to revolutionize brand discovery by introducing customers to new products and services through thoughtful "thank-you" gifts. Our customer-centric approach ensures businesses acquire new customers efficiently while making customers feel valued and rewarded. We are a data-driven, cash-flow-positive company that has experienced 731% growth over the last three years. We're scaling to become a leading global customer acquisition platform. Supported by investors who backed pioneering companies, we are positioned for exponential growth and global impact. What you will do: - Architecture & storage: Design and implement data storage strategy with scalability, reliability, security, and cost optimization - Pipelines & ETL: Build and maintain robust data pipelines, including orchestration, testing, documentation, and SLAs - Reliability & cost control: Optimize compute/storage and reduce pipeline fragility - Engineering excellence: Refactor research code, enforce repository structure, testing, logging, and reproducibility - Cross-functional collaboration: Transform prototypes into production systems, provide mentorship and technical guidance - Roadmap & standards: Drive technical vision for data platform capabilities and establish architectural team standards What you need: - Experience: 5+ years in data engineering, with large-scale system infrastructure ownership - Software engineering strength: Strong coding, debugging, performance analysis, testing, and CI/CD discipline - Cloud & containers: Production experience on AWS, Docker + Kubernetes - IaC: Terraform or CloudFormation for managed, reviewable environments - Data engineering: Expert SQL, data modeling, schema design, modern orchestration and ETL tools - Warehouses & Data Lakes: Databricks, Spark, Redshift, and Data lake formats - Monitoring/observability: Data monitoring and pipeline alerting - Collaboration: Excellent communication in fast-paced environments - PySpark/Glue/Dask/Kafka: Large-scale batch/stream processing experience - Analytics platforms: Third-party data integration expertise - Medallion architecture data product development - Mission-oriented: Proactive, self-driven, taking ownership beyond expectations What you get: - Competitive compensation, flexible remote work - Unlimited Responsible PTO - Opportunity to impact a growing, cash-flow-positive company's revenue and future success