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Snowflake Data Warehouse Jobs (NOW HIRING)

Sr. Data Analyst Snowflake

Houston, TX · On-site

$82K - $103K/yr

Strong understanding of data warehousing concepts and best practices. * Excellent analytical, problem-solving, and communication skills. Preferred Skills: * Snowflake Certification. * Experience with ...

Snowflake Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Design, build, and optimize complex data pipelines and data warehouse solutions (using Snowflake, dbt, Python, and Matillion ( or similar ELT/ETL tools) ). * Architecting new patterns within ...

Snowflake Developer

Chicago, IL

$118K - $141K/yr

... data warehouse platform - Build and optimize data ingestion processes for both batch file-based loads and real-time streaming data from various sources - Implement data transformation logic using ...

Snowflake Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Configure and manage Snowflake warehouses, databases, schemas, roles, and grants (RBAC) . * Implement data ingestion using Stages, File Formats, COPY INTO, Snowpipe, Streams, and Tasks . * Leverage ...

Snowflake Tech Lead

Davenport, IA · On-site

$41K - $54K/yr

Minimum 2 year of designing and implementing a fully operational production grade large scale data solution on Snowflake Data Warehouse. * 3 to 4 years of hands on experience with building ...

Snowflake Tech Lead

Davenport, IA · On-site

$41K - $54K/yr

Minimum 2 year of designing and implementing a fully operational production grade large scale data solution on Snowflake Data Warehouse. * 3 to 4 years of hands on experience with building ...

Architect and design Snowflake data warehouse solutions aligned with business needs. * Ensure best practices in performance tuning, security, and cost optimization. * Collaborate with data engineers ...

Data Modeler

Westlake Village, CA · On-site

$57.50 - $74.50/hr

Responsibilities : • Design, develop, and maintain conceptual, logical, and physical data models for enterprise data platforms. • Build and optimize data models for Snowflake data warehouse ...

Data Modeler Engineer

Charlotte, NC · On-site

$53.50 - $69.25/hr

The ideal candidate should possess strong expertise in data modeling, Snowflake architecture, SQL, ETL concepts, ER modeling, SAS data analysis understanding, and enterprise data warehousing. This ...

Snowflake ETL Developer

Hopewell, VA

$45.75 - $59.75/hr

Experience with Snowflake data warehouse development. * Strong SQL development and database management skills. * Hands-on experience with AWS Glue and ETL/ELT pipeline development. * Knowledge of ...

Data Modeler Engineer

Atlanta, GA · On-site

$52.75 - $68.25/hr

The ideal candidate should possess strong expertise in data modeling, Snowflake architecture, SQL, ETL concepts, ER modeling, SAS data analysis understanding, and enterprise data warehousing. This ...

Data Modeler Engineer

Raleigh, NC

$53.25 - $69/hr

The ideal candidate should possess strong expertise in data modeling, Snowflake architecture, SQL, ETL concepts, ER modeling, SAS data analysis understanding, and enterprise data warehousing. This ...

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Snowflake Data Warehouse information

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$25K

$125.9K

$171K

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 Senior Technical Specialist

Snowflake Senior Technical Specialist

Noblesoft Technologies

Jersey City, NJ • On-site

Contractor

Posted 16 days ago


Job description

Job Role: Snowflake Senior Technical Specialist with SQL, Python, DBT
Location: Jersey City, NJ
Job Summary
The Senior Technical Specialist will be responsible for managing and optimizing Snowflake, DBT, SQL, and Python processes within the organization. They will play a key role in implementing and maintaining efficient data pipelines, ensuring data integrity, and driving data driven decision-making processes. (1.) Key Responsibilities
1. Develop and maintain snowflake data cloud environment, including optimizing database performance and troubleshooting any issues that arise.
2. Design and implement etl processes using dbt to transform and load data into snowflake for analytics and reporting purposes.
3. Write complex sql queries to extract and manipulate data as required by various business units.
4. Utilize python programming language to automate data processes, build data pipelines, and create data visualizations.
5. Collaborate with cross functional teams to understand data requirements and implement solutions that meet business needs.
6. Ensure data security and governance practices are followed in compliance with industry standards and regulations.
Skill Requirements
1. Proficiency in snowflake data platform, including data warehouse design, implementation, and optimization.
2. Experience with dbt (data build tool) for managing data transformations and modeling within a cloud data warehouse environment.
3. Strong sql skills with the ability to write and optimize complex queries for data extraction and analysis.
4. Proficient in python programming language for data manipulation, automation, and visualization.
5. Knowledge of data governance best practices and experience in implementing data security measures within a cloud environment.
6. Excellent analytical and problem-solving skills with a keen attention to detail.
Certifications: SnowPro Core Certification, DBT Fundamentals Certification (preferred).