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Snowflake Data Engineer

4 weeks, 1 day ago
United States
Full-time
Mid Level
AI Engineer
Software Development
Azure CI/CD JavaScript Kafka LLM Machine Learning NetSuite Python Snowflake SQL SQL Server
Apply Now
FreedomPay

FreedomPay

FreedomPay is a white label e-commerce platform offering secure, high-performance payment solutions for global commerce, trusted by industry leaders for unmatched security and value-added services.

IT Services
251-1K
Founded 2000
$23M raised
View All Jobs 2

Description

  • 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/search experiences, and external-facing applications.
  • Create, validate, version, and maintain semantic views and related business logic for governed analytics and AI experiences.
  • Build and support ingestion patterns using Openflow, Kafka, Snowpipe, APIs, and third-party connectors such as NetSuite.
  • Develop reusable engineering components and automation using SQL, SnowSQL or Snowflake CLI, Python, and sometimes JavaScript.
  • Implement data quality checks, automated testing, observability, error handling, and deployment controls for production workloads.
  • Optimize data models, queries, pipelines, and AI workloads for performance, scalability, maintainability, and cost efficiency.
  • Design and implement secure Snowflake data sharing and data-product patterns for internal teams, partners, and customers.
  • Establish software engineering practices for Snowflake development, including source control, CI/CD, environment promotion, documentation, and release management.
  • Troubleshoot pipeline, application, semantic-layer, and data-quality issues through resolution.

Requirements

  • Hands-on experience as a Snowflake data engineer, AI engineer, analytics engineer, or similar role delivering production solutions.
  • Strong Snowflake SQL skills and experience with data pipelines, transformations, data models, and performance-tuned workloads.
  • Experience building and maintaining AI/ML solutions with Snowflake Cortex AI or comparable technologies.
  • Experience designing semantic layers or semantic views for governed, reusable analytics and AI definitions.
  • Proficiency in Python and software engineering practices such as testing, source control, CI/CD, and code review.
  • Experience with streaming, event-driven, or connector-based ingestion using Kafka, Openflow, Snowpipe, APIs, or similar tools.
  • Experience supporting production data platforms on Azure and integrating with enterprise identity and security patterns.
  • Ability to diagnose and resolve complex data, pipeline, application, and performance issues.
  • Ability to work cross-functionally with platform administration, security, data engineering, analytics, application, and business teams.
  • Preferred experience creating, deploying, evaluating, and maintaining AI agents or generative AI applications in production.
  • Preferred experience with Snowflake Cortex Analyst, Cortex Search, Snowpark, Streamlit in Snowflake, or Snowflake-native application development.
  • Preferred experience with Snowflake data sharing, Marketplace listings, secure data products, or customer-facing data delivery patterns.
  • Preferred experience implementing Openflow or Kafka-based ingestion and integrating SaaS or ERP sources such as NetSuite.
  • Preferred experience with Azure services, Azure AD SSO/SCIM integration, and secure cloud application patterns.
  • Preferred experience working with SQL Server in a hybrid SQL Server and Snowflake environment.
  • JavaScript development experience is a plus.
  • Snowflake certifications are a plus.
  • Experience supporting regulated, payment, financial-services, or other security-sensitive environments is strongly preferred.
  • Must be able to successfully pass a background check and a credit check.

Benefits

  • Competitive benefits and compensation.
  • Medical, prescription, dental, and vision coverage.
  • Life insurance.
  • Retirement plans with company match.
  • Commission sharing plan.
  • Flexible hybrid working environment.
  • Parental leave and other leave programs.
  • Development and professional growth opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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