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Full Time Snowflake Jobs in Florida (NOW HIRING)

Tampa, FL (onsite) Job Type: Full time Database Development Mandatory • Mandatory hands on ... Good to Have Skills - Data Platforms - Snowflake (Must Have): • Strong experience with Snowflake ...

Senior Data Engineer

Miami, FL · On-site

$99K - $141K/yr

This position requires expertise in Snowflake and other modern data technologies to transform raw ... full-time salary for this position. Final compensation will depend on a variety of factors ...

Design, develop and maintain data pipelines in AWS & Snowflake * Design and develop curated ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Orlando, FL ...

Contribute to projects/CR's utilizing Ab-Initio (ETL), Python, Oracle SQL/PLSQL, Snowflake and ... Applications Development Time Type: Full time Primary Location: Tampa Florida United States Primary ...

Fulltime- Data Architect

Miami, FL · On-site

$61 - $78.50/hr

... Fulltime Salary:- 140-145K with Benefit including Relocation. Qualifications The full JD is below ... Mentor development teams on best practices relating to data modeling, star and snowflake schemas ...

Miami FL Job Type: Full Time (Hybrid) * Lead architecture across all AI layers: RAG, MCP connectors ... Drive MCP connector design for Appian, ERP, DealCloud, Backstop, Snowflake, Graph DB * Own RAG ...

Lead Data Scientist

Stuart, FL · On-site

$144K - $198K/yr

... snowflake tables, forecasting and time-series models, inventory and clear-to-build analytics ... S. on a full-time basis without sponsorship now or in the future. The Company cannot offer ...

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Full Time Snowflake information

What are the typical challenges faced by Full Time Snowflake professionals when integrating Snowflake with existing data infrastructure?

Full Time Snowflake professionals often encounter challenges related to migrating legacy data systems to the Snowflake cloud platform, especially ensuring data consistency and minimizing downtime. Integrating Snowflake with various ETL tools and existing business intelligence solutions can require careful planning to optimize performance and cost. Additionally, adapting security protocols and access controls to align with Snowflake’s architecture is crucial. Collaborative problem-solving with data engineers, database administrators, and security teams is often key to successfully overcoming these integration hurdles.

What are the key skills and qualifications needed to thrive as a Full Time Snowflake Data Engineer, and why are they important?

To thrive as a Full Time Snowflake Data Engineer, you need expertise in data warehousing, SQL, and cloud platforms, often with a background in computer science or a related field. Familiarity with the Snowflake Data Cloud, ETL tools, and certifications such as Snowflake SnowPro are highly valued. Strong problem-solving, collaboration, and communication skills set top candidates apart. These competencies ensure efficient data management, seamless integration, and effective teamwork needed for successful data solutions.

What is a Full Time Snowflake developer?

A Full Time Snowflake developer is a professional who specializes in working with the Snowflake data platform on a full-time basis. Their responsibilities typically include designing, developing, and maintaining data pipelines, data warehouses, and analytics solutions within Snowflake. They work with SQL, data modeling, ETL processes, and cloud integrations to help organizations manage and analyze large volumes of data efficiently. Full Time Snowflake developers often collaborate with data engineers, analysts, and business stakeholders to deliver scalable and secure data solutions.

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

AspectFull Time SnowflakeData Engineer
Required CredentialsSnowflake certifications, SQL, cloud platform knowledgeData management, SQL, cloud platforms, programming skills
Work EnvironmentCloud data platforms, analytics teamsData pipelines, ETL processes, cloud environments
Employer & Industry UsageTech companies, finance, retail using SnowflakeVarious industries, focusing on data infrastructure
Common Search & ComparisonYesYes

Full Time Snowflake roles focus on managing and optimizing data within Snowflake cloud data platforms, requiring certifications and expertise in SQL and cloud environments. Data Engineers build and maintain data pipelines and infrastructure, often working with Snowflake as part of broader data solutions. While both roles involve cloud data work, Snowflake specialists concentrate on Snowflake-specific tasks, whereas Data Engineers have a broader scope across data architecture and engineering.

What are the most commonly searched types of Snowflake jobs in Florida? The most popular types of Snowflake jobs in Florida are:
What are popular job titles related to Full Time Snowflake jobs in Florida? For Full Time Snowflake jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Full Time Snowflake jobs in Florida look for? The top searched job categories for Full Time Snowflake jobs in Florida are:
What cities in Florida are hiring for Full Time Snowflake jobs? Cities in Florida with the most Full Time Snowflake job openings:
Infographic showing various Full Time Snowflake job openings in Florida as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
SQL Developer (Snowflake/Data Analytics)

SQL Developer (Snowflake/Data Analytics)

Precision Technologies Corp

Tampa, FL • On-site

Full-time

Posted 6 days ago


Job description

Role:  SQL Developer (Snowflake/Data Analytics)

Location: Tampa, FL

Type: Full-Time

Our challenge

We are seeking a skilled SQL Developer with expertise in Snowflake and a strong background in data analytics to join our data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data solutions, performing complex data analysis, and delivering actionable insights to support business objectives. This role requires a deep understanding of SQL, data warehousing, and aggregate data analysis techniques. 

Responsibilities:

  • Develop, optimize, and maintain SQL queries, stored procedures, and data pipelines within Snowflake.
  • Design and implement data models, schemas, and transformations to support reporting and analytics.
  • Collaborate with business stakeholders to understand data requirements and deliver analytical solutions.
  • Perform complex data analysis, data validation, and troubleshoot data issues.
  • Create and maintain dashboards, reports, and data visualizations to present insights effectively.
  • Ensure data accuracy, consistency, and security across data storage and reporting platforms.
  • Optimize Snowflake and SQL performance for large datasets and complex queries.
  • Conduct data quality audits and implement best practices for data governance.
  • Support data migration, integration, and ETL processes.
  • Stay informed about new features and best practices in Snowflake and data analytics tools.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
  • 7+ years of hands-on SQL development experience, particularly with Snowflake.
  • Strong proficiency in SQL query writing, optimization, and performance tuning.
  • Experience with data modeling, schema design, and data warehousing concepts.
  • Ability to analyze large datasets and extract meaningful insights.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Knowledge of data governance, security, and compliance best practices.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills and ability to work collaboratively across teams.

Preferred, but not required:

  • Experience with other cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery).
  • Knowledge of scripting languages such as Python or R for data analysis.
  • Familiarity with ETL tools and processes.
  • Certification in Snowflake or data analytics is a plus.