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Remote Snowflake Jobs in Boston, MA (NOW HIRING)

SMART TECH SKILLS LLC

Data Scientist

Boston, MA · Remote

Competitive salary Location Remote Experience Level Senior Level (7 or more years of experience ... Snowflake Cortex ML Development • Develop, deploy, and scale machine learning solutions natively ...

Kobie Marketing

AI Engineer

Boston, MA · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

Kobie Marketing

AI Engineer

Boston, MA · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

Quantiphi, Inc.

Architect Data Engineer

Boston, MA · On-site +1

... AWS, Snowflake, and others. We've been recognized with: * 17x Google Cloud Partner of the Year ... US East/Canada (Remote) Role Overview: Lead the architectural vision for a next-generation data ...

The Phia Group

Data Engineer (Remote)

Canton, MA · On-site +1

$121K - $145K/yr

Develop, maintain, and optimize Snowflake objects (schemas, tables, views) and SQL transformations to produce curated, analytics-ready datasets * Collaborate with analysts, stakeholders, and product ...

Interra Health

Senior Data Engineer

Boston, MA · Remote

$115K - $151K/yr

Manage schema evolution processes from product data sources to Snowflake. * Optimize data ... Fully remote role within the United States * Periodic travel (approximately 5%) for team meetings ...

Tiger Analytics Inc.

Data Architect

Westwood, MA · Remote

$71.25 - $91.75/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda, EC2) and Snowflake. * Strong ...

IT Labs

Senior DevOps Engineer

Boston, MA · Remote

$133K - $170K/yr

Integrate with data platforms like Snowflake, ensuring secure and scalable deployments * Work with ... Remote * US-based -- US citizenship is required * Contract or B2B arrangement Our values We are a ...

Ironside Group

Senior Database Engineer

Lexington, MA · Remote

$108K - $147K/yr

Snowflake or equivalent database certification is a plus * Experience working with Azure Synapse ... Please note this position is a remote position. Powered by JazzHR lfxGeK60ju

DRC Systems

Technical Lead - Data Analysis

Boston, MA · Remote

$50 - $54/hr

Title - Technical Lead - Data Analysis Location - Boston, MA - Remote JD - Key Skills * Advanced ... Experience with dbt, Snowflake, or Looker * Familiarity with data pipelines and SaaS-scale ...

BitSight

Customer Success AI Operations Lead

Boston, MA · Remote

... remote We are building an AI-native Customer Success operating model from the ground up, and we're ... Work across systems such as Salesforce, Gainsight, Clari, Gong, Zendesk, Snowflake, Slack, Zoom ...

ezCater, Inc

Senior Analyst, Product (Remote)

Boston, MA · On-site +1

$120K - $146K/yr

Knowledge of modern data exploration and visualization tools like Snowflake, Tableau, and Sigma * Effective communication skills to convey data insights across different audiences * Independent ...

Arbor

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

What You'll Do Build and maintain our data pipeline infrastructure, spanning ingestion through Fivetran and custom pipelines from our GCP production systems into Snowflake. You'll own our dbt ...

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Remote Snowflake information

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How much do remote snowflake jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for remote snowflake in Boston, MA is $73.45, according to ZipRecruiter salary data. Most workers in this role earn between $65.05 and $83.32 per hour, depending on experience, location, and employer.

Is it hard to get hired at Snowflake?

Getting hired for a remote Snowflake role can be competitive, as the company seeks candidates with strong data warehousing skills, cloud platform experience, and proficiency in SQL and Python. Candidates often go through multiple interview rounds assessing technical knowledge and problem-solving abilities. Having relevant certifications and a solid understanding of cloud environments can improve chances of success.

Are Snowflake jobs in high demand?

Snowflake-related jobs, including roles like data engineers and analysts, are in high demand due to the increasing adoption of cloud data platforms. Skills in SQL, cloud computing, and data warehousing are highly sought after, and many organizations are hiring for these positions to support data-driven decision making.

What are the key skills and qualifications needed to thrive in the Remote Snowflake position, and why are they important?

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 is a Remote Snowflake job?

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.

How to make $80,000 a year working from home?

A remote Snowflake professional can earn $80,000 or more annually by gaining expertise in data warehousing, SQL, and cloud platforms, often requiring certifications like Snowflake Certified Data Engineer. Building a strong portfolio, demonstrating technical skills, and working for companies that offer remote roles with competitive salaries can help achieve this income level.

Does Snowflake offer remote jobs?

Yes, Snowflake offers remote job opportunities across various roles, including positions in data engineering, software development, and sales. Many of these roles are fully remote or have flexible work arrangements, often requiring familiarity with cloud platforms and data tools.

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.

What are the most commonly searched types of Snowflake jobs in Boston, MA? The most popular types of Snowflake jobs in Boston, MA are:
What are popular job titles related to Remote Snowflake jobs in Boston, MA? For Remote Snowflake jobs in Boston, MA, the most frequently searched job titles are:
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What cities near Boston, MA are hiring for Remote Snowflake jobs? Cities near Boston, MA with the most Remote Snowflake job openings:
Remote Snowflake jobs near you

Data Scientist

SMART TECH SKILLS LLC

Boston, MA • Remote

Full-time

Posted 3 days ago

Job description

Benefits:
  • Competitive salary


Location
 Remote
Experience Level
Senior Level (7 or more years of experience)
Role Overview
We are seeking a highly skilled Senior Data Scientist to join a fast-paced SaaS organization on a contract basis. This role is ideal for a hands-on data science professional with deep expertise in machine learning, Snowflake Cortex ML, Python, advanced SQL, and MLOps automation. The successful candidate will partner closely with business stakeholders to develop, optimize, and deploy production-grade machine learning solutions that drive business value. This is a 3 to 6-month contract with potential for permanent conversion, targeting a start date of August 1.
Key Responsibilities

Machine Learning & Data Science
• Design, develop, and enhance production-grade machine learning and predictive analytics models to solve complex SaaS business problems.
• Maintain, optimize, and evaluate existing ML models to ensure continuous improvements in accuracy, performance, and scalability.
• Apply statistical modeling and advanced machine learning techniques to extract actionable business insights from enterprise data.
Snowflake Cortex ML Development
• Develop, deploy, and scale machine learning solutions natively using Snowflake Cortex ML and its broader AI capabilities.
• Optimize model execution, feature engineering, and data processing architectures directly within the Snowflake ecosystem.
• Collaborate with data engineering and platform teams to seamlessly integrate Cortex ML and Snowpark workflows into production systems.
MLOps & Pipeline Automation
• Build, automate, and maintain robust end-to-end machine learning pipelines for model training, validation, and deployment.
• Implement and govern MLOps workflows to support automated model monitoring, versioning, retraining, and continuous integration/continuous delivery (CI/CD).
• Improve the reliability, automation, and scalability of production machine learning environments using Jupyter Notebooks and orchestration tools.
Data Integration & Stakeholder Collaboration
• Perform complex SQL-based data extraction, transformation, feature engineering, and integration of third-party data sources.
• Partner directly with cross-functional stakeholders in Product, Engineering, and Business teams to translate operational requirements into technical AI solutions.
• Document workflows and present clear technical findings, methodologies, and strategic recommendations to both technical and non-technical audiences.
Required Qualifications
• 7 or more years of professional experience in Data Science or Machine Learning.
• Demonstrated experience developing, optimizing, and supporting production-grade machine learning and predictive models.
• Strong industry experience within a Software-as-a-Service (SaaS) or modern digital product environment.
• Hands-on experience building and deploying machine learning solutions utilizing Snowflake Cortex ML.
• Expert-level programming skills in Python and advanced SQL querying.
• Proven experience establishing and automating MLOps pipelines, including model deployment, monitoring, versioning, and CI/CD.
• Strong background in data integration, data quality verification, and advanced feature engineering.
• Experience collaborating directly with business stakeholders to translate business needs into technical AI and ML solutions.
Preferred Qualifications
• Hands-on experience with Large Language Models (LLMs) or Generative AI integrations.
• Experience utilizing Snowpark and modern Snowflake AI/ML platform capabilities.
• Practical familiarity with Git, version control systems, and enterprise data pipelines.
• Experience using cloud-based AI platforms and advanced production analytics tools.
Core Skills & Attributes
• Exceptional analytical, problem-solving, and statistical modeling capabilities.
• Strong communication and presentation skills, with the ability to translate technical AI concepts into clear business value.
• Excellent stakeholder management and collaboration skills across cross-functional engineering, product, and business domains.
• Self-motivated with a strong attention to detail and the ability to operate independently in a fully remote environment.

This is a remote position.