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Part Time Snowflake Jobs (NOW HIRING)

Cars and Bids LLC

Senior Data Engineer - Contractor

$80 - $120/hr

... part-time retainer basis. The engagement * Structure : Independent contractor (1099/B2B) on a ... The full data lifecycle: ingestion (Hevo/OpenFlow), warehousing (Snowflake), transformation (tasks ...

Micron Technology

Sr. IT Business Analyst

Boise, ID · On-site

$81K - $109K/yr

Lead the transition from the existing BW HANA integration architecture to a Snowflake solution ... May telecommute part-time. Employer will accept a Bachelor's degree in Computer Science, Industrial ...

TEGNA Inc.

Lead BI/Data/Web Developer

New York, NY · On-site

$130K - $155K/yr

Proven experience working with large-scale cloud-based data warehouses (e.g., Snowflake, Google ... Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute ...

Exavalu

MDM Architect

Exposure to Databricks, Snowflake, or Microsoft Fabric . * Knowledge of API-based integrations and ... part-time work, working outside normal 9-5 business hours or working remotely. We also offer a ...

First Student, Inc.

School Bus Driver

Snowflake, AZ · On-site

$19.89 - $24.47/hr

Now Hiring Part-Time School Bus Drivers for Snowflake, AZ: As a Part Time School Bus Driver, you will play a vital role in your community and the lives of students. You will start students' days with ...

Shannon & Wilson Inc

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

Strong SQL development skills and experience with data modeling (star/snowflake schema) required ... prorated for part-time employment) * Sick leave accrues based on state requirements * 9 paid ...

Contexture

Data Analyst

Phoenix, AZ · Remote

$5.7K - $6.5K/mo

... Part-time Full-time Exempt / Non-Exempt Exempt Risk Designation: Extremely High Summary The Data ... Data storage experience with Microsoft SQL Server, MongoDB, and Snowflake * SQL query development ...

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Part Time Snowflake information

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How much do part time snowflake jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for part time snowflake in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a part time Snowflake data engineer?

To thrive as a Part Time Snowflake Data Engineer, you need strong SQL skills, experience with cloud data warehousing, and a background in data modeling or computer science. Familiarity with the Snowflake platform, ETL tools, and relevant certifications such as Snowflake SnowPro are highly beneficial. Analytical thinking, clear communication, and the ability to troubleshoot data issues are crucial soft skills for success in this role. These competencies ensure efficient data processing, robust data solutions, and effective collaboration in dynamic business environments.

What are part time Snowflake jobs?

Part-time Snowflake jobs typically involve working with the Snowflake cloud data platform on a non-full-time basis. These roles may include responsibilities such as managing data warehousing solutions, creating and optimizing SQL queries, supporting data migration, and assisting with analytics using Snowflake. Part-time positions are ideal for professionals seeking flexible hours while still applying their skills in cloud-based data management. Employers often look for candidates with experience in SQL, data modeling, and familiarity with Snowflake’s architecture.

What are some common challenges faced by part time Snowflake developers, and how can they be addressed?

Part-time Snowflake developers often face the challenge of staying updated with frequent platform updates and changes in best practices, especially when not working daily. Additionally, managing data pipelines and troubleshooting issues within limited hours can be demanding. Effective communication with full-time team members and leveraging thorough documentation can help bridge these gaps. Regularly scheduling sync meetings and utilizing Snowflake’s robust online community can also support continuous learning and problem-solving.

What is the difference between Part Time Snowflake vs Part Time Data Engineer?

AspectPart Time SnowflakePart Time Data Engineer
Required CredentialsSnowflake certifications, SQL knowledgeSQL, ETL tools, cloud platform certifications
Work EnvironmentCloud-based data platform, remote or on-siteData pipelines, cloud environments, collaborative teams
Employer & Industry UsageTech, finance, retail companies using SnowflakeVarious industries managing data workflows
Search & Comparison IntentFocus on Snowflake-specific rolesBroader data management roles

Part Time Snowflake roles focus on managing and optimizing data within the Snowflake platform, requiring Snowflake-specific certifications. Part Time Data Engineer positions involve building and maintaining data pipelines across various platforms, often requiring broader technical skills. While both roles work with data, Snowflake specialists concentrate on the Snowflake environment, whereas Data Engineers handle diverse data workflows.

More about Part Time Snowflake jobs
What cities are hiring for Part Time Snowflake jobs? Cities with the most Part Time Snowflake job openings:
What are the most commonly searched types of Snowflake jobs? The most popular types of Snowflake jobs are:
What states have the most Part Time Snowflake jobs? States with the most job openings for Part Time Snowflake jobs include:
What job categories do people searching Part Time Snowflake jobs look for? The top searched job categories for Part Time Snowflake jobs are:
Part Time Snowflake jobs near you
Infographic showing various Part Time Snowflake job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 1% Part Time, and 11% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Senior Data Engineer - Contractor

Cars and Bids LLC

Remote

$80 - $120/hr

Part-time

Posted 23 days ago

Job description

Senior Data Engineer - Fractional / Contract (Retainer)
Cars & Bids is where automotive enthusiasts find, engage with, and sell great cars. We're the fastest-growing online auction platform for enthusiast vehicles from every era, paired with a scaled media business across YouTube, the #1 automotive podcast (THIS Car Pod!), social, and events that reach over 50 million enthusiasts each month. Since launching in 2020, we've hosted over 34K auctions and sold more than $740 million in vehicles.
We are looking for an experienced data engineer to support our entire data stack - from ingestion through warehousing, transformation, modeling, and reverse ETL - as our sole dedicated data practitioner, on a part-time retainer basis.
The engagement
  • Structure: Independent contractor (1099/B2B) on a monthly retainer. You invoice us monthly; you are responsible for your own taxes, equipment, and benefits. This is not a W-2 or employee role, and it does not include company benefits or equity.
  • Commitment: Approximately 20 hours per week, retained monthly. We care about outcomes and the running health of the data stack, not hours logged or tickets closed.
  • Rate: $80-$120 per hour, depending on experience.
  • Autonomy: You set your own schedule and choose your own tools and methods. We'll align on priorities and outcomes; how and when you deliver is yours to run. You're free to maintain other clients.
  • Location: Remote. 5 hour overlap with PT working hours for collaboration.
  • Term: Ongoing retainer with a clear, mutual off-ramp. We expect a long-term relationship, but either side can adjust or wind down with reasonable notice.

What you'll support
  • The full data lifecycle: ingestion (Hevo/OpenFlow), warehousing (Snowflake), transformation (tasks and dynamic tables), light modeling and batch inference, and reverse ETL into our operational tools.
  • Turn business questions into trustworthy data products that downstream users - both humans and AI - can rely on without second-guessing.
  • Build and maintain the bespoke and SaaS-based syncs that move modeled data from Snowflake into the tools where the business operates (HubSpot CRM, Iterable/Braze, support tools, and others as we grow).
  • Keep our feature pipelines fresh, our models trained, and our inference flowing to where it creates business value.
  • Navigate ambiguity and make two-way-door decisions quickly using data.
  • Make pragmatic build-vs-buy calls and resist tool sprawl. Complexity is a choice, and we choose less of it.
  • Maintain Snowflake cost discipline - warehouse sizing, query performance, and refresh cadences are your responsibility.
  • Strategically take on good tech-debt and pay it down when business-justified.
  • Investigate data quality issues and remediate them at the root.
  • Join our team syncs when necessary to align on priorities, surface ideas, and propose solutions.

Qualifications
Required:
  • Snowflake practitioner - you have strong opinions about warehouse design, query optimization, dynamic tables, tasks, and cost management.
  • Experience owning data ingestion in production (OpenFlow, NiFi, Fivetran, Airbyte, or equivalent flow-based or managed ingestion tools).
  • Comfort with the full analytics engineering workflow: modeling, testing, documentation, and exposing trustworthy datasets to downstream consumers.
  • Experience building and maintaining reverse ETL syncs, both bespoke (API integrations, stored procedures) and via SaaS tools (Hightouch, Census, native CDP integrations).
  • Working knowledge of MLOps fundamentals: keeping training pipelines running, feature tables fresh, and batch inference flowing reliably. You don't need to be an ML researcher, but you need to be the person who keeps models in production healthy.
  • Proficiency in SQL and Python.
  • Proven experience as the only data person on a team, or clear evidence you'd thrive without a peer in your domain.
  • Detail-oriented with excellent analytical and communication skills, including the ability to explain data tradeoffs to non-technical stakeholders.
  • Full professional proficiency in English.
  • Bachelor's degree in Computer Science, a related quantitative field, or equivalent experience.

Nice-to-have:
  • Experience with Snowpark, Cortex, or similar in-warehouse ML capabilities.
  • Experience supporting AI-driven analytics workflows (business users querying data via LLMs) and the modeling discipline that makes those workflows reliable.
  • Experience in marketplace, e-commerce, or auction businesses.

Compensation
This is a fractional, contract engagement compensated at $80-$120 per hour, retained monthly at roughly 20 hours per week, depending on experience. As an independent contractor, you are responsible for your own taxes, equipment, insurance, and benefits; this engagement does not include employee benefits or equity.

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