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Remote Snowflake Jobs (NOW HIRING)

FreedomPay

Snowflake Data Engineer

$117K - $140K/yr

We are seeking a Snowflake Data & AI Engineer to design, build, and operationalize production-grade data and artificial intelligence solutions on Snowflake. This person should bring hands-on ...

Massive Rocket

Senior Data Engineer (Snowflake)

$108K - $147K/yr

Massive Rocket is a rapidly scaling Braze and Snowflake agency on a mission to transform how ... Remote-First for Life - Work from wherever you feel your best • Real Career Momentum - Clear ...

Sarian, Inc.

Snowflake Architect

$65.25 - $84/hr

... of Snowflake cloud data warehouse. • Expertise in Data modelling, ELT using snowflake, implementing complex stored Procedures and standard DWH and ETL concepts. • Experience in Data Migration ...

Prophecy Technologies

Snowflake Data Engineer

$117K - $140K/yr

This role is for a Data Engineer with a strong focus on Snowflake and PostgreSQL. The successful candidate will be responsible for leveraging engineering knowledge, developing open specifications ...

phData

Sr. DevOps Engineer - Snowflake

$133K - $170K/yr

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic ...

Damco Solutions

Snowflake DBA

The role involves managing Snowflake environments, ensuring high availability, security, and performance of enterprise data platforms, while collaborating with various teams. Responsibilities : • ...

Prominence Advisors

Data Engineer (Snowflake)

$117K - $140K/yr

Prominence Advisors is actively seeking a Data Engineer (Snowflake) to join our team. Who We Are ... Prominence is a fully remote company, with no requirements on where you live or work within the US ...

Acxiom

Principal Architect (Snowflake)

Saint Paul, MN · Remote

Remote/Homebased Full time JR014144 The Principal Solution Architect is a senior leadership role ... Snowflake, Databricks, or similar data platforms * Clean room technologies * Customer Data ...

SHI

Principal Architect - Snowflake

Job Summary We are expanding our Snowflake capability within the Data and AI practice, and we are looking for a Principal Solutions Architect to lead the technical side of it. You will be in front of ...

Acxiom

Principal Architect (Snowflake)

Saint Paul, MN · Remote

Remote/Homebased Full time JR014144 The Principal Solution Architect is a senior leadership role ... Snowflake, Databricks, or similar data platforms * Clean room technologies * Customer Data ...

Acxiom

Principal Architect (Snowflake)

Montgomery, AL · Remote

Remote/Homebased Full time JR014144 The Principal Solution Architect is a senior leadership role ... Snowflake, Databricks, or similar data platforms * Clean room technologies * Customer Data ...

Acxiom

Principal Architect (Snowflake)

Montgomery, AL · Remote

Remote/Homebased Full time JR014144 The Principal Solution Architect is a senior leadership role ... Snowflake, Databricks, or similar data platforms * Clean room technologies * Customer Data ...

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Remote Snowflake information

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How much do remote snowflake jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote snowflake in the United States is $67.61, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $76.68 per hour, depending on experience, location, and employer.

What is a remote Snowflake?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

What are the key skills and qualifications needed to thrive in the remote Snowflake position?

To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.

Does Remote Snowflake have a work-from-home policy?

Remote Snowflake positions typically offer a work-from-home or remote work option, allowing employees to perform their duties outside of a traditional office setting. The specific remote work policy may vary by role and team, but remote work is common for roles involving data management, cloud platforms, and collaboration tools. Candidates should review the job listing or contact the employer for detailed policy information.

Does remote Snowflake hire remotely?

Remote Snowflake roles are often available, as the company supports remote work for many positions, especially those related to data engineering, analytics, and cloud infrastructure. Candidates should review specific job postings for location requirements and remote work policies, which can vary by role and team. Skills in Snowflake, SQL, and cloud platforms are typically essential for these positions.
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Remote Snowflake jobs near you
Infographic showing various Remote Snowflake job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $140,621 per year, or $67.6 per hour.

Snowflake Data Engineer

FreedomPay

Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago

Job description

The FreedomPay Commerce Platform is the technology of choice for many of the largest companies across the globe in retail, hospitality, lodging, gaming, sports and entertainment, foodservice, education, healthcare and financial services. FreedomPay's technology has been purposely built to deliver rock solid performance in the highly complex environment of global commerce. The company maintains a world-class security environment and was first to earn the coveted validation by the PCI Security Standards Council against Point-to-Point Encryption with EMV standard in North America. FreedomPay's robust solutions across payments, security, identity and data analytics are available in-store, online and on-mobile and are supported by rapid API adoption. The award winning FreedomPay Commerce Platform operates on a single, unified technology stack across multiple continents allowing enterprises to deliver a consistent, repeatable experience on a global scale. FreedomPay is a fast paced, high growth company with a great culture with competitive benefits and compensation with a business casual atmosphere.
We are seeking a Snowflake Data & AI Engineer to design, build, and operationalize production-grade data and artificial intelligence solutions on Snowflake. This person should bring hands-on experience developing data pipelines, data models, integrations, and AI-powered applications in a production environment and be comfortable working across Snowflake SQL, Cortex AI, semantic views, agent development, and modern data engineering patterns.
This role is designed around engineering and delivery responsibilities, including building trusted data products, implementing scalable ingestion and transformation pipelines, developing and maintaining AI agents, and enabling secure data sharing. The engineer will partner with the Snowflake Account Administrator, security, and infrastructure teams on account-level access, governance, identity, cost controls, and platform configuration rather than owning those administrative functions.
This is a mid level engineering role focused on production delivery, solution ownership, and technical leadership for Snowflake-based data and AI capabilities. The engineer is expected to independently drive implementation decisions, establish durable engineering patterns, and coordinate with platform, security, infrastructure, and business stakeholders while keeping account administration responsibilities clearly separated.
Key responsibilities
  • 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.

Required 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.
  • 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.

Preferred qualifications
  • Experience creating, deploying, evaluating, and maintaining AI agents or generative AI applications in production.
  • Experience with Snowflake Cortex Analyst, Cortex Search, Snowpark, Streamlit in Snowflake, or Snowflake-native application development.
  • Experience with Snowflake data sharing, Marketplace listings, secure data products, or customer-facing data delivery patterns.
  • Experience implementing Openflow or Kafka-based ingestion and integrating SaaS or ERP sources such as NetSuite.
  • Experience with Azure services, Azure AD SSO/SCIM integration, and secure cloud application patterns.
  • 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.

What success looks like
  • 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.
  • Engineering teams can move quickly while account administration, security, and governance responsibilities remain clearly separated and well coordinated.

As the fastest growing commerce company in the industry, we offer the opportunity for tremendous upward mobility within the company as well as development and professional growth opportunities. FreedomPay's fulltime roles provide exceptional benefits including medical, prescription, dental and vision coverage, Life Insurance, Retirement Plans with company match, commission sharing plan, flexible hybrid working environment, and great parental and other leave programs. All positions must be able to successfully pass a background check as well as a credit check.
FreedomPay is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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