Snowflake Data Engineer

🕒 July 31

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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FreedomPay

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

🏨 Hospitality

💰 Private Equity Round on 2018-10

Consulting • Healthcare • Hospitality

FreedomPay is a leading data-driven commerce platform that simplifies complex payment environments for merchants. With a history of innovation since 2000, FreedomPay offers payment solutions that include mobile payments, cashless solutions, and advanced analytics. Validated by the PCI Security Standards Council, the platform provides unmatched security through Point-to-Point Encryption (P2PE) and features like EMV, Tokenization, and Contactless capabilities. Trusted by global leaders in sectors such as retail, hospitality, gaming, education, healthcare, and financial services, FreedomPay aims to enhance customer interactions and streamline payment processing. It operates from offices in Philadelphia, Las Vegas, and London, promoting a future of faster, simpler, safer, and smarter commerce.

📋 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 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. • 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 and drive them through resolution. • Partner with the Snowflake Account Administrator and security teams on required roles, privileges, SSO/SCIM integration, governance policies, and production readiness without assuming ownership of account administration. • Collaborate with data engineering, analytics, application, product, and business teams to translate 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 similar role delivering production solutions on Snowflake. • Strong Snowflake SQL skills and demonstrated experience developing data pipelines, transformations, data models, and performance-tuned workloads. • Experience 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 semantic views that translate 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 review. • Experience with streaming, event-driven, or connector-based ingestion using technologies such as Kafka, Openflow, Snowpipe, APIs, or comparable integration frameworks. • 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.

🏖️ Benefits

• medical, prescription, dental and vision coverage • Life Insurance • Retirement Plans with company match • commission sharing plan • flexible hybrid working environment • great parental and other leave programs