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Remote Snowflake Jobs in Colorado (NOW HIRING)

Cleerly

Sr. Machine Learning Software Engineer

Denver, CO · On-site +1

$126.10K - $166.20K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.

Datavail

Senior Project Manager

Boulder, CO · On-site +1

Lead and direct a remote or on-site project teams to be successful. This position will focus on ... Microsoft Fabric, Microsoft Synapse, Databricks, Snowflake, Microsoft Azure AI capabilities, Amazon ...

Carina Health Network

Clinical Data Engineer

Denver, CO · Remote

$85K - $100K/yr

Clinical Data Engineer - Remote, Must Live in State of Colorado Join Carina Health Network and help ... Experience working in Snowflake Cloud Database. * Experience in Python, JavaScript, and/or C#, and ...

SumUp

Data Analytics Engineer

Boulder, CO · On-site +1

$95K - $115K/yr

Build, maintain, and document DBT models in a Snowflake environment, keeping data clean, reliable, and well-structured * Develop and maintain Tableau dashboards and data sources that stakeholders ...

SumUp

Data Analytics Engineer

Boulder, CO · On-site +1

$95K - $115K/yr

Build, maintain, and document DBT models in a Snowflake environment, keeping data clean, reliable, and well-structured * Develop and maintain Tableau dashboards and data sources that stakeholders ...

RSM

Data and Analytics Technical Manager

Denver, CO · On-site +1

Deep expertise in at least one major cloud data platform (Microsoft Fabric, Snowflake, Databricks) * Previous experience in Data and Analytics with a consulting firm * Proven record of leading and ...

Gusto, Inc.

Senior Data Engineer

Denver, CO · On-site +1

$190K - $220K/yr

Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.

Evio

Data Engineer (Remote)

Denver, CO · Remote

$117.90K - $141.50K/yr

Evio Overview Evio is a highly unique pharmacy solutions company that was founded by and works closely with health plans to implement transformative (to cost, quality, access and experience ...

Quantix

Facets Solutions Architect

Englewood, CO · Remote

$62.25 - $82/hr

Remote Type: Contract (Will consider contract to hire too) Length: 12 months Company located in Englewood, CO has an immediate need for a Facets Solutions Architect for a contract (or contract to ...

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How much do remote snowflake jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote snowflake in Colorado is $71.09, according to ZipRecruiter salary data. Most workers in this role earn between $62.93 and $80.62 per hour, depending on experience, location, and employer.

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.

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 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.
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Remote Snowflake jobs near you
Sr. Machine Learning Software Engineer

Sr. Machine Learning Software Engineer

Cleerly

Denver, CO • On-site, Remote

$126.10K - $166.20K/yr

Full-time

Posted 12 days ago

Job description

About Cleerly

We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location.

Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks.

At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description.

While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.
Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives.

About the Opportunity

We are seeking a senior machine learning software engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.

Responsibilities
  • Collaborate with AI scientists to package and deploy ML models, ensuring reproducibility, versioning, and compliance.
  • Build and maintain model serving infrastructure including monitoring, drift detection, automated retraining, and logging.
  • Implement unit, integration, and system-level testing for ML models, covering data validation, model correctness, and deployment workflows.
  • Develop and operate end-to-end ML pipelines: ingestion → preprocessing → feature engineering → evaluation → deployment → monitoring.
  • Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.
  • Identify and resolve workflow inefficiencies or gaps between research and production.
  • Recommend and integrate frameworks, libraries, and infrastructure to improve pipeline efficiency, maintainability, and observability.
  • Collaborate cross-functionally to ensure compliance with regulatory requirements (FDA/HIPAA) in production ML workflows.
Requirements
  • 7+ years of experience in software engineering for ML production or ML platform delivery.
  • Hands-on experience deploying ML models via APIs, batch pipelines, or streaming inference.
  • Proficiency in Python (required), Java, or similar, with software engineering best practices for ML workflows.
  • Experience with unit, integration, and pipeline-level testing for ML models, including data validation, correctness checks, and reproducibility.
  • Familiarity with cloud platforms (AWS preferred: SageMaker, S3, EC2) and reproducible ML pipelines.
  • Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.
  • Strong collaboration skills to work effectively with AI scientists, software engineers, and regulatory teams.

The base salary range for this role varies by location and is aligned to market benchmarks.

  • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
  • Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

  • Base Salary: $153,000 - $179,000
  • TTC: $176,000 - $206,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

Working at Cleerly takes HEART. Discover our Core Values:

  • H: Humility- be a servant leader
  • E: Excellence- deliver world-changing results
  • A: Accountability- do what you say; expect the same from others
  • R: Remarkable- inspire & innovate with impact
  • T: Teamwork- together we win

Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company.

OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.

For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts.

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