ZipRecruiter

Log In

3

Remote Part Time Snowflake Jobs (NOW HIRING)

Jobgether

Familiarity with data warehouse environments such as BigQuery, Snowflake, or Redshift is a plus ... Fully remote work arrangement within a global team. * Opportunity to contribute to impactful, large ...

New

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241931 Location: Belcamp,MD,US Share job via: Share Additional ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0242278 Location: Belcamp,MD,US Share job via: Share Additional ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

All JobsRemote Part Time Snowflake Jobs

Remote Part Time Snowflake information

See salary details

$9

$36

$88

How much do remote part time snowflake jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for remote part time snowflake in the United States is $36.92, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $52.64 per hour, depending on experience, location, and employer.

What is a Remote Part Time Snowflake job?

A Remote Part Time Snowflake job involves working with the Snowflake cloud data platform on a flexible, part-time basis from a remote location. Responsibilities may include data warehousing, ETL processes, SQL query optimization, and cloud data management. These roles are ideal for data engineers, analysts, or developers who specialize in Snowflake architecture and need a flexible work schedule. Employers may require expertise in SQL, Python, or Snowflake administration, depending on the job's focus.

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

To thrive as a Remote Part Time Snowflake specialist, you need strong experience with Snowflake data warehousing, SQL, and a background in data modeling or analytics, often supported by a related degree or Snowflake certification. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and tools such as ETL frameworks and BI solutions, is typically expected. Excellent problem-solving, time management, and communication skills help remote team members collaborate effectively and deliver results. These skills are essential to ensure data quality, optimize performance, and successfully manage projects in a distributed work environment.

What does a typical workday look like for a Remote Part Time Snowflake specialist?

As a Remote Part Time Snowflake specialist, your typical day might include developing and optimizing SQL queries, supporting data ingestion and transformation processes, and collaborating with internal stakeholders on analytical requirements. You may also troubleshoot performance issues, maintain security and compliance standards, and participate in regular team meetings via video calls or chat. Flexibility is key, as tasks and priorities can shift depending on data needs or project timelines. Collaboration with data engineers, analysts, and business users is common, and clear communication is important when working asynchronously in a remote setting.

More about Remote Part Time Snowflake jobs
What cities are hiring for Remote Part Time Snowflake jobs? Cities with the most Remote Part Time Snowflake job openings:
What states have the most Remote Part Time Snowflake jobs? States with the most job openings for Remote Part Time Snowflake jobs include:
What job categories do people searching Remote Part Time Snowflake jobs look for? The top searched job categories for Remote Part Time Snowflake jobs are:
Remote Part Time Snowflake jobs near you

Cloud Infrastructure Expert - Fully Remote | Upto $2150 Part-time

Mercor

New York, NY • Remote

$1.7K - $2.1K/wk

Full-time, Part-time

Posted 2 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Cloud Computing Expert
Type: Contract
Compensation: $1,750–$2,150/task
Location: Remote

Role Responsibilities

  • Build a realistic digital workspace using HashiCorp Terraform, Datadog, Splunk, GitHub Actions, and Okta. Reflect real-world architecture docs, runbooks, and incident post-mortems.
  • Design multi-step tasks that challenge frontier AI agents by navigating multiple apps and stakeholders.
  • Collaborate with cloud-computing experts to design environments and review scenarios for realism and rigor.
  • Work asynchronously with research teams to refine task designs and evaluation criteria for cloud-computing agent benchmarks.
  • Contribute to frontier AI research and benchmarking. Your work informs how leading labs train and evaluate AI systems.

Qualifications

Must-Have

  • 3+ years of full-time experience at a major hyperscaler (AWS, Azure, GCP, Oracle Cloud), a cloud-data platform (Snowflake, Databricks), or a Fortune 500 platform/infrastructure team.
  • Background in cloud architecture, site reliability engineering, platform engineering, DevOps/DevSecOps, or cloud FinOps.
  • Day-to-day use of HashiCorp Terraform, Pulumi, Splunk, Datadog, GitHub Actions, CircleCI, and Okta/Microsoft Entra ID.
  • Strong analytical thinking and writing skills.

Preferred

  • Certifications: AWS Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect, CKA/CKAD.

Compensation & Legal

  • Task Completion Pay: Competitive and based on task quality (~$1,750–$2,150 per completed task, subject to change as the project evolves).
  • Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate.
  • Hourly Opportunity: Top performers may transition to an hourly compensation model based on sustained quality and throughput.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.