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How much do freelance snowflake jobs pay per hour?

As of Aug 15, 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 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.

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 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.
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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 88% Full Time, 1% Part Time, and 11% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Manager, Data Engineering

Starcom Mediavest Group Germany Gmbh

Chicago, IL

$88K - $127K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

Company Description

PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where creativity and storytelling bring truth to life, and where orchestration replaces fragmentation.

Dedicated to making brands discovered, PHM redefines what media can do through data, content, and creativity. Because in modern healthcare, the brands that are found are the ones that lead. And when brands lead, advantage follows. Go deeper. Be found.

Job Description

The Data Manager of Data Engineering will work in a hands-on and supportive role in our Technology and Data Department. This team processes and maintains all the data that flows into our organization and is the face of the agency regarding data needs from HCP publishers.

You will work with internal and external partners, along with industry vendors, to monitor data transfers, perform data QA'ing and maintain documentation. You will also support the Vice President of Data engineering to enforce enterprise-wide data processes and protocols.

Responsibilities
  • Lead a portfolio of data projects across multiple clients
  • Design and manage scalable pipelines, including ingestion from APIs (REST, GraphQL, vendor feeds) and traditional ETL sources
  • Contribute to data architecture decisions to ensure efficient schema design, scalability, and governance across data warehouses and lakehouses
  • Partner with BI, Product, and Media Tech teams to automate data integrations and improve data flow reliability
  • Oversee ETL and metadata management to ensure stability, security, and compliance
  • Present issues, trends, and recommendations to internal and external stakeholders
  • Maintain best practices for handling, storing, and governing data
Qualifications
  • BS in Computer Science, Information Technology, or related field
  • Strong hands-on experience with PySpark (preferred language for data engineering and automation)
  • Proficiency in Python and SQL for data processing and automation
  • Experience building and maintaining API-based data pipelines, including authentication and error handling
  • Solid knowledge of modern data architecture (data modeling, governance, warehouse, lakehouse)
  • Experience with database structures, ETL, and cloud data platforms
  • Technical documentation skills and ability to communicate complex topics in simple, user-friendly terms

Specific Skills Required:

  • Cloud platforms: AWS, Azure, Databricks
  • Data warehouses/lakehouses: Snowflake, Redshift, Databricks Lakehouse
  • BI tools: Tableau, Datorama (preferred)
  • Strong collaboration skills with cross-functional teams
Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

#LI-LV1

 Compensation Range: USD $88,540.00 - USD $127,155.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/1/2026.Employment Type: FULL_TIME

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