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Full Time Snowflake Jobs (NOW HIRING)

Saransh Inc

AWS Data Engineer (12+ yrs) - Full Time

Plano, TX · On-site

$109K - $131K/yr

Plano, TX (Onsite from Day 1) Job Type: Full Time Experience Required: 12+ years * We are looking ... The ideal candidate has strong experience with Snowflake, Kafka, MuleSoft, and AWS-native analytics ...

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How much do full time snowflake jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for full time snowflake in the United States is $67.61, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $76.68 per hour, depending on experience, location, and employer.

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?

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.

More about Full Time Snowflake jobs
What cities are hiring for Full Time Snowflake jobs? Cities with the most Full 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 Full Time Snowflake jobs? States with the most job openings for Full Time Snowflake jobs include:
What job categories do people searching Full Time Snowflake jobs look for? The top searched job categories for Full Time Snowflake jobs are:
Full Time Snowflake jobs near you
Infographic showing various Full 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 $140,621 per year, or $67.6 per hour.

Azure Engineer - Full Time

Saransh Inc

Aliso Viejo, CA • On-site

Full-time

Re-posted 14 days ago

Job description

Role: Azure Engineer
Location : Aliso Viejo, CA (Onsite)
Job Type: Full Time
 
RequiredSkills: 
Python, Azure, Databricks, SQL, ADF, Fabric/Synapse, Snowflake, Apache Spark (PySpark/SQL), Kafka, dBT
 
Experience Required: Min 10+ years
 
 
Experience and Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 10+ years in data engineering/architecture with substantial hands-on depth in Azure.
  • Expert in Azure Databricks & Apache Spark (PySpark/SQL), Delta Lake, Unity Catalog, job orchestration, and performance tuning.
  • Strong Snowflake on Azure experience (schema design, performance/cost optimization, RBAC, streams/tasks).
  • dbt expertise (project structure, tests, exposures, macros; Core or Cloud) and solid SQL/Python fundamentals.
  • Proven track record building ETL/ELT pipelines with ADF and/or Synapse/Fabric pipelines; familiarity with Event Hubs/Kafka for streaming.
  • Solid foundation in lakehouse and warehousing architectures, dimensional modeling, medallion patterns, and data quality frameworks.
  • Security & governance know-how: Purview lineage/catalog, data masking, PII handling, managed identities, private networking
Nice to Have:
  • Experience with Azure ML, feature stores, or serving ML pipelines from Databricks/Snowflake.
  • Infrastructure as Code (Terraform/Bicep) for Azure data platforms, containerization with Docker.
  • Observability tools (Great Expectations/Delta Expectations, Databricks quality flows, Monte Carlo, DataDog).
Certifications (Preferred):
  • Databricks Certified Data Engineer Professional (or Architect).
  • Microsoft Azure: DP-203 (Data Engineering), Azure Solutions Architect Expert, Azure Security Engineer Associate.
  • Snowflake: SnowPro Core / Advanced.