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Snowflake Data Warehouse Jobs (NOW HIRING)

Apex Informatics

Data Warehouse Analyst

Tallahassee, FL · On-site

Extensive experience with Informatica IICS Cloud Data Integration tools and Snowflake is preferred. Primary Job Duties/ Tasks 1.Strong Data Integration and Data Warehousing experience with Snowflake ...

EdgeAll

Snowflake Data Architect

Woodbridge, NJ

Hands-on expertise with Snowflake data warehouse or data lake architecture is required for this role. We are seeking an experienced Data Architect to join our team and take a lead role in designing ...

Trilyon, Inc.

Data Warehouse Analyst

Tallahassee, FL · On-site

We are seeking a Data Warehouse Analyst to join our team. This role will involve gathering and ... Develop and support data integration solutions using Snowflake Data Cloud and Informatica IICS ...

TheStaffed

Lead Snowflake Data Engineer

New York, NY · On-site

$125K - $150K/yr

Drive performance tuning (query optimization, clustering, warehouse scaling) * Leverage Snowflake Cortex AI or similar for advanced data capabilities * Enforce data governance, security, and ...

Keeley Construction

Snowflake Data Architect

Saint Louis, MO · Hybrid

$62 - $79.75/hr

Develop and maintain a multi-year enterprise data warehouse and data modernization roadmap aligned ... Establish Snowflake governance standards including security, cost management, performance ...

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How much do snowflake data warehouse jobs pay per year?

As of Jun 7, 2026, the average yearly pay for snowflake data warehouse in the United States is $125,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $160,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Snowflake Data Warehouse Engineer, you need strong SQL skills, experience with data modeling, ETL development, and a background in computer science or related fields. Familiarity with the Snowflake platform, cloud services (such as AWS or Azure), and certifications like Snowflake SnowPro are highly beneficial. Problem-solving ability, attention to detail, and effective communication help you design robust solutions and collaborate across teams. These skills ensure secure, efficient, and scalable data management critical for business analytics and decision-making.

What is a Snowflake Data Warehouse?

A Snowflake Data Warehouse is a cloud-based data storage and analytics service. It allows organizations to store, process, and analyze large volumes of data efficiently using a scalable, pay-as-you-go model. Snowflake separates compute and storage, enabling flexible workloads and seamless data sharing. Its architecture supports structured and semi-structured data, making it popular for modern data analytics and business intelligence tasks.

What are some common challenges faced when working with a Snowflake Data Warehouse, and how can they be addressed?

One common challenge in a Snowflake Data Warehouse role is optimizing query performance, especially as data volume grows. It's important to understand Snowflake's unique architecture, such as its separation of storage and compute, and to leverage features like clustering and result caching. Managing user access and data security is another key area, requiring collaboration with IT and compliance teams to ensure data governance. Regularly collaborating with data engineers, analysts, and business stakeholders helps align data models and performance tuning with organizational needs. Staying updated on Snowflake’s latest features and best practices can also make a significant difference in overcoming these challenges.

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

AspectSnowflake Data WarehouseData Engineer
Primary RoleDesigning, implementing, and managing data storage solutions using SnowflakeBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsKnowledge of Snowflake, SQL, cloud platforms (AWS, Azure, GCP), data modelingSQL, ETL tools, programming (Python, Java), cloud services, data architecture
Work EnvironmentCloud-based data platforms, collaborative teams, data analytics projectsData pipelines, cloud environments, cross-functional teams, software development

While Snowflake Data Warehouse specialists focus on managing and optimizing Snowflake environments, Data Engineers build the pipelines and infrastructure that feed data into systems like Snowflake. Both roles often collaborate but have distinct technical focuses within data management and engineering.

Snowflake DATA Engineer

Futran Tech Solutions Pvt. Ltd.

San Jose, CA • On-site

$75/hr

Full-time

Posted 4 days ago

Job description

Snowflake Data Engineer + Python
Location Remote
Pay rate :$75/hr
Strong experience with cloud data platform Snowflake
Good Knowledge and Understanding of Data warehouse concepts Dimensional Modeling change data capture slowly changing dimensions etc
Strong exposure in PythonProficiency in writing complex logic as per industry standards
Proficient in basic and advanced SQL programming concepts Procedures Analytical functions etc
Experience in Data Profiling and Data validation
Design and implement high performing and highly available Snowflake data warehouse solutions
Optimize data pipelines and workloads for maximum efficiency and performance
Responsible for designing implementing the Snowflake data warehouse platform
Responsible for troubleshooting and resolving any issues that arise with the Snowflake platform
Responsible for staying up to date with the latest features and best practices in Snowflake Data engineering and providing guidance and training to other team members as needed

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