Snowflake Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, construct, test, deploy, and sustain scalable data pipelines, transformations, and data models on Snowflake.

• Develop and implement AI and machine learning solutions utilizing Snowflake Cortex AI, encompassing AI agents, retrieval and search experiences, and external-facing applications.

• Create, validate, version, and maintain semantic views along with related business logic to facilitate accurate and governed AI and analytics experiences.

• Build and support ingestion patterns through Snowflake Openflow, Kafka, Snowpipe, APIs, and third-party connectors, including integrations with enterprise applications like NetSuite.

• Develop reusable engineering components and automation utilizing advanced SQL, SnowSQL or Snowflake CLI, Python, and, when applicable, JavaScript.

• Implement data quality checks, automated testing, observability, error handling, and deployment controls to ensure reliability in production data and AI workloads.

• Optimize data models, queries, pipelines, and AI workloads for enhanced performance, maintainability, scalability, and efficient consumption.

• Design and implement secure data sharing and data-product patterns within Snowflake for internal teams, partners, and customers.

• Establish software engineering practices for Snowflake development, covering source control, CI/CD, environment promotion, documentation, and release management.

• Troubleshoot pipeline, application, semantic-layer, and data-quality issues, driving them to resolution.

• Collaborate with the Snowflake Account Administrator and security teams regarding required roles, privileges, SSO/SCIM integration, governance policies, and production readiness, without taking ownership of account administration.

• Partner with data engineering, analytics, application, product, and business teams to convert high-value use cases into durable data and AI solutions.

⛳️ Requirements

• Prior hands-on experience as a Snowflake data engineer, AI engineer, analytics engineer, or a similar role delivering production solutions on Snowflake.

• Strong proficiency in Snowflake SQL and demonstrated experience in developing data pipelines, transformations, data models, and performance-optimized workloads.

• Experience in building and maintaining applications or AI/ML solutions with Snowflake Cortex AI or comparable large language model and machine learning technologies.

• Experience designing semantic layers or views that convert business concepts into governed, reusable definitions for analytics and AI.

• Proficiency in Python and experience applying software engineering practices such as testing, source control, CI/CD, and code reviews.

• Experience with streaming, event-driven, or connector-based ingestion utilizing technologies such as Kafka, Openflow, Snowpipe, APIs, or similar integration frameworks.

• Experience supporting production data platforms on Azure and integrating with enterprise identity and security protocols.

• Ability to diagnose and resolve complex data, pipeline, application, and performance challenges.

• Capacity to collaborate cross-functionally with platform administration, security, data engineering, analytics, application, and business teams.

🏝️ Benefits

• Medical, prescription, dental, and vision coverage.

• Life Insurance.

• Retirement Plans with company match.

• Commission sharing plan.

• Flexible hybrid working environment.

• Excellent parental and other leave programs.