Hiring: Snowflake Data Engineer Company: FreedomPay Location: Select, KY Job Posted Time: 2026-09-15 10:23:17 Employment Type: Hybrid Target Skills & Keywords : AI, Azure, Azure AD, CI/CD, Data Pipeline, Encryption, Event-Driven, JavaScript, Kafka, Large Language Model, Machine Learning, Python, SQL, SQL Server, SaaS, Snowflake About the job Experience: •Prior hands-on experience as a Snowflake data engineer, AI engineer, analytics engineer, or similar role delivering production solutions on Snowflake. •Strong Snowflake SQL skills and demonstrated experience developing data pipelines, transformations, data models, and performance-tuned workloads. •Proficiency in Python and experience applying software engineering practices such as testing, source control, CI/CD, and code review. •Demonstrated capacity to diagnose and resolve complex data, pipeline, application, and performance issues. •Demonstrated capacity to work cross-functionally with platform administration, security, data engineering, analytics, application, and business teams. Required Skills: •Design, build, test, deploy, and maintain scalable data pipelines, transformations, and data models on Snowflake. •Develop and productionize AI and machine learning solutions using Snowflake Cortex AI, including AI agents, retrieval and search experiences, and external-facing applications. •Create, validate, version, and maintain semantic views and related business logic to support accurate, governed AI and analytics experiences. •Build and support ingestion patterns using Snowflake Openflow, Kafka, Snowpipe, APIs, and third-party connectors, including integrations with enterprise applications such as NetSuite. •Develop reusable engineering components and automation using advanced SQL, SnowSQL or Snowflake CLI, Python, and, where appropriate, JavaScript. •Implement data quality checks, automated testing, observability, error handling, and deployment controls to ensure reliable production data and AI workloads. •Optimize data models, queries, pipelines, and AI workloads for performance, maintainability, scalability, and efficient consumption. •Design and implement secure Snowflake data sharing and data-product patterns for internal teams, partners, and customers. Qualifications: •JavaScript development experience is a plus. •Snowflake certifications are a plus. •Reliable, scalable data pipelines and data products move from development to production with strong quality and observability. •AI agents and applications deliver accurate, governed, measurable value to internal users and external customers. •Semantic views remain trusted, testable, and resilient as underlying data and business definitions evolve. •New data sources and streaming workloads are integrated efficiently using maintainable, reusable engineering patterns. •Data and AI workloads are performant, cost-aware, documented, and supported through disciplined software delivery practices. Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!