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Snowflake Jobs in Miami, FL (NOW HIRING)

Winaxis

Snowflake Engineer/ Architect

Miami, FL · On-site

Job Summary (Snowflake Engineer/Architect) - Lead the architecture, design, and development of scalable data solutions on the Snowflake platform. - Provide technical leadership and mentorship to ...

MetaSense, Inc.

Snowflake data engineer

Hollywood, FL · On-site

$104K - $125K/yr

Snowflake Data Engineer Location: Hollywood, FL - Hybrid Interview: Video Job Summary We are seeking an experienced Snowflake Data Engineer with 8+ years of Data Engineering experience and strong ...

Stellar IT Group

Senior Snowflake Data Engineer

Hollywood, FL · On-site

$97K - $132K/yr

Senior Snowflake Data Engineer Location: Hybrid - Hollywood, FL (Onsite presence required) Type: 6-12+ Month Contract (Potential to Convert) Position Overview We are seeking a Senior Snowflake Data ...

WatchGuard Technologies, Inc.

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

Snowflake - Advanced SQL - window functions, CTEs, recursive queries, query profiling - Snowflake-native features: streams, tasks, snowpipe, dynamic tables, row-level security - Virtual warehouse ...

Hurricane Capital

Systems Engineer

Miami, FL · On-site

$50 - $200/hr

Optimize Snowflake environments for performance, scalability, and efficiency. * Develop, maintain, and monitor data integration processes and workflows. * Collaborate with technology teams and ...

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How much do snowflake jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for snowflake in Miami, FL is $64.66, according to ZipRecruiter salary data. Most workers in this role earn between $57.26 and $73.37 per hour, depending on experience, location, and employer.

What is a Snowflake?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

What are the key skills and qualifications needed to thrive in the Snowflake position?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

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

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Does Snowflake offer remote jobs?

Snowflake offers remote job opportunities for various roles, including data engineers, analysts, and software engineers. Many positions are fully remote or have flexible work arrangements, often requiring proficiency with cloud platforms and collaboration tools. Candidates should review specific job listings for location and remote work options.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and continuous learning can enhance job prospects in this field.

What exactly does Snowflake do?

A Snowflake professional typically works with the Snowflake data platform, which is a cloud-based data warehousing service. They manage data integration, optimize queries, and ensure data security within the platform, often using SQL and cloud infrastructure skills. The role involves supporting data analytics and business intelligence initiatives.

What are the most commonly searched types of Snowflake jobs in Miami, FL?

The most popular types of Snowflake jobs in Miami, FL are:

What are popular job titles related to Snowflake jobs in Miami, FL?

For Snowflake jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Snowflake jobs in Miami, FL look for?

The top searched job categories for Snowflake jobs in Miami, FL are:

What cities near Miami, FL are hiring for Snowflake jobs?

Cities near Miami, FL with the most Snowflake job openings:

Snowflake jobs near you
Infographic showing various Snowflake job openings in Miami, FL as of August 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 72% Physical, 8% Hybrid, and 20% Remote job distribution, with an average salary of $134,496 per year, or $64.7 per hour.

Snowflake Engineer/ Architect

Winaxis

Miami, FL • On-site

Contractor

Re-posted 9 days ago

Job description

Job Summary (Snowflake Engineer/Architect)
- Lead the architecture, design, and development of scalable data solutions on the Snowflake platform.
- Provide technical leadership and mentorship to junior data engineers.
- Design and oversee efficient ETL/ELT processes using Snowflake and third-party tools.
- Optimize Snowflake performance, including query tuning and data ingestion.
- Establish and enforce data governance, security, and compliance standards.
- Implement automation and orchestration of data pipelines leveraging Azure and Snowflake features.
- Collaborate with data architects, scientists, and business analysts to align infrastructure with business needs.
- Stay current on Snowflake features and best practices; drive innovation in data infrastructure.
- Lead integration and deployment of Snowflake on cloud platforms, especially Azure.
- Maintain comprehensive technical documentation for architectures and processes.
- Utilize advanced Snowflake features (Snowpipe, Streams, Tasks, Materialized Views, etc.).
- Extract and ingest data from APIs.
- Ensure high data quality using best practices.
- Apply expertise in data modeling, data warehousing concepts (star/snowflake schemas), and big data technologies.
- Demonstrate advanced SQL skills for optimizing complex queries.
- Work with cloud environments (AWS, GCP, Azure) to deploy/manage Snowflake clusters.
- Use ETL/ELT tools (FiveTran, Matillion, Talend, Informatica) for data integration.
- Employ advanced scripting skills (Python, Bash) to automate data processes and support CI/CD.
- Build and tune machine learning models in Azure and Snowflake.
- Maintain strong knowledge of data security, encryption, and regulatory compliance (GDPR, HIPAA, SOC 2).
- Work within Agile development methodologies in a fast-paced environment.