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Freelance Snowflake Jobs (NOW HIRING)

SysMind Tech

US Sogeti | US Sogeti

$56.25 - $69.75/hr

... Snowflake or Google Big Query), and data lake technologies on tperson Azure cloud. • Data ... Can we use Freelancer? : No * Named Job Posting? (if Yes - needs to be approved by SCSC) : No

VARTEQ, Inc.

HubSpot CRM Specialist

Chicago, IL · On-site

$85 - $120/hr

... SQL, Snowflake, or Salesforce migration We Offer * Freelance contract for 4 to 6 months * Opportunity to optimize a mature HubSpot Enterprise environment used at scale * High-impact work with ...

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Solomon Page

Manager Data Engineering

Houston, TX · On-site

$80/hr

Design and oversee scalable ETL/ELT pipelines using cloud platforms such as Snowflake, Google ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

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Freelance Snowflake information

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$132

How much do freelance snowflake jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for freelance snowflake in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is a freelance Snowflake?

Freelance Snowflake professionals are independent consultants or developers who specialize in working with Snowflake, a cloud-based data warehousing platform. They help organizations with tasks such as data migration, data modeling, performance optimization, and building scalable analytics solutions on Snowflake. These freelancers usually work on a project or contract basis, providing expertise without the need for a full-time hire. Their skills are in high demand as more businesses move their data infrastructure to the cloud and leverage Snowflake for advanced analytics. Hiring a freelance Snowflake expert allows companies to access specialized knowledge and scale their teams flexibly.

What skills and qualifications are needed to thrive as a freelance Snowflake developer?

To thrive as a Freelance Snowflake Developer, you need strong expertise in data warehousing, SQL, ETL processes, and a solid understanding of cloud-based data architecture, often supported by a relevant degree or Snowflake certification. Familiarity with tools and systems like Snowflake Data Cloud, Python, dbt, and integration with BI platforms is typically required. Excellent communication, problem-solving, and project management skills help set top freelancers apart when working with diverse clients and teams. These skills and qualities are crucial for delivering scalable, efficient data solutions and maintaining successful client relationships in a competitive freelance market.

What challenges do freelance Snowflake professionals face when working with multiple clients?

Freelance Snowflake professionals often juggle projects from different organizations, which can present challenges such as adapting to various data architectures, security protocols, and collaboration tools. Each client may have unique requirements regarding data modeling, pipeline automation, or compliance, requiring flexibility and strong communication skills. Managing deadlines and expectations across several stakeholders is also essential, as is staying updated with Snowflake platform updates to provide the best solutions.

What is the difference between Freelance Snowflake vs Snowflake Data Engineer?

AspectFreelance SnowflakeSnowflake Data Engineer
CredentialsNone specific, often self-taught or certified in SnowflakeTypically requires Snowflake certifications and data engineering skills
Work EnvironmentIndependent, project-based, remote or on-siteFull-time or contract, usually within a company or consulting firm
Employer & IndustryClients across various industries, freelance platformsOrganizations using Snowflake for data warehousing and analytics
Search & Comparison IntentLooking for freelance opportunities or gig work involving SnowflakeSeeking specialized data engineering roles with Snowflake expertise

Freelance Snowflake professionals typically work independently on projects for various clients, often without formal certifications. Snowflake Data Engineers usually hold certifications and work within organizations or consulting firms, focusing on building and maintaining data pipelines. Both roles require Snowflake knowledge but differ in work setting and employment structure.

More about Freelance Snowflake jobs

What cities are hiring for Freelance Snowflake jobs?

Cities with the most Freelance 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 Freelance Snowflake jobs?

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What job categories do people searching Freelance Snowflake jobs look for?

The top searched job categories for Freelance Snowflake jobs are:

Freelance Snowflake jobs near you
Infographic showing various Freelance Snowflake job openings in the United States as of August 2026, with employment types broken down into 60% Full Time, 13% Part Time, and 27% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

US Sogeti | US Sogeti

SysMind Tech

Remote

$56.25 - $69.75/hr

Full-time

Re-posted 28 days ago

Job description

Description:
Research client
Sr. Data Engineers Lead
remote
visa- any
Rate -70-80/hr
8 months
Sr. Data Engineering Lead
We are seeking a highly experienced Senior Data Engineering Lead with minimum 10+ years' experience in modern data engineering, data warehousing and data lake technologies on Azure cloud platform.
Tperson successful candidate will possess a strong technical background and proven leadership skills to manage stakeholders, design, and lead development efforts.
Key Qualifications:
Tperson candidate must have experience and expert skills in tperson following areas:
• Programming Skills: Stellar hands-on expertise in Python, PySpark, and SQL.
• Azure Expertise: Proficient in Microsoft Azure Cloud Services.
• Data Warehousing: Expertise in data warehouse best practices, development standards and methodologies. Minimum of 5 years of experience in modern data engineering, data warehousing (Azure Synapse, Azure SQL, Amazon Redshift, Snowflake or Google Big Query), and data lake technologies on tperson Azure cloud.
• Data Modeling Expertise: Minimum of 12 years of proven experience with SQL, scpersonma design, and dimensional data modeling.
• Big Data Tools: Strong experience with platforms (mandatory) such as Databricks (preferable). Experience with Databricks is highly desirable but not mandatory.
• Cloud Data Engineering concepts: Experience with common ETL/ELT tools (ADF, Informatica, Talend) and implementing Medallion Architecture for data management.
• Data Management and Storage: Proficiency with Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Blob Storage, etc.
• Analytical Skills: Strong analytical and problem-solving skills.
• Leadership: Lead development teams, drive project timelines, and ensure high-quality deliverables.
Additional Preferred Qualifications:
• Azure DevOps and CI/CD deployments
• Cloud migration methodologies and processes
• 2+ yrs of experience with Power BI
• 5+ yrs of experience with any reporting/visualization tool like Tableau/OBIEE etc.
Enable Skills-Based Hiring No Can we use Freelancer?
Additional Details
  • Global Grade : C
  • Can we use Freelancer? : No
  • Named Job Posting? (if Yes - needs to be approved by SCSC) : No
  • Remote work possibility : (No Value)
  • Global Role Family : 6500 Data architect / Data Officer
  • Local Role Name : Sr. Data Engineer
  • Local Skills : Sr. Data Engineer
  • Languages Required: : english

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