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Snowflake Cloud Data Warehouse Jobs (NOW HIRING)

Modivcare, Inc.

Cloud Data Warehouse Engineer III

Denver, CO · On-site

$57.50 - $76.75/hr

As a Cloud Data Warehouse Engineer, you'll build scalable data pipelines, cloud data warehouse ... Build and maintain fact tables, dimensions, star schemas, snowflake schemas, and slowly changing ...

Modivcare, Inc.

Cloud Data Warehouse Engineer III

Denver, CO · Remote

$57.50 - $76.75/hr

As a Cloud Data Warehouse Engineer, you'll build scalable data pipelines, cloud data warehouse ... Build and maintain fact tables, dimensions, star schemas, snowflake schemas, and slowly changing ...

Modivcare, Inc.

Cloud Data Warehouse Engineer III

$57 - $76.25/hr

As a Cloud Data Warehouse Engineer, you'll build scalable data pipelines, cloud data warehouse ... Build and maintain fact tables, dimensions, star schemas, snowflake schemas, and slowly changing ...

Photon

Snowflake Developer - ll - Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Implement data integration processes from multiple on-premises and cloud sources. * Optimize Snowflake performance through query tuning, clustering, partitioning, and warehouse management. * Develop ...

Syntricate Technologies

Snowflake Developer

Coppell, TX · On-site

$45.75 - $62.75/hr

The role involves managing data and developing analytical data warehousing solutions using Snowflake and AWS cloud services. Responsibilities : • Minimum 8 years of experience in data management ...

CogniSoft Technologies

Snowflake Architect

Boston, MA · On-site

$69.25 - $89/hr

Data Modeling: Implement dimensional modeling (Star/Snowflake schemas), Data Vault 2.0, and 3NF models optimized for cloud scale. Performance Tuning: Optimize warehouse sizing, clustering keys ...

USM

JB061852 - SQL Developer with Snowflake

$46.25 - $63.50/hr

Hands-on experience with Snowflake Cloud Data Platform. * Experience with ETL/ELT tools (Informatica, Matillion, dbt, Talend, or similar). * Good understanding of data warehousing concepts (Star ...

OVA.Work

Data Warehouse Developer

$50.50 - $69/hr

... cloud data warehouse platforms: Amazon Redshift, Snowflake, Google BigQuery, Azure Synapse Analytics • Knowledge of BI and reporting tools: Power BI, Tableau, Looker, QlikView • Experience with ...

KYYBA Inc

Cloud Data Engineer

Quincy, MA · On-site

... data warehousing solutions, while ensuring effective communication with stakeholders ... Snowflake. • Experience in creating and maintaining end-to-end data pipelines. • Strong ...

Perfict

ETL Developer

Chicago, IL · On-site

$52.50 - $68.75/hr

... Snowflake cloud data warehouse • Work with data analyst in mapping documents and design/build IBM DataStage jobs to the requirements. • Participate in peer design reviews and provide ...

Anblicks

Azure Data Architect

Addison, TX · On-site

$61.50 - $80/hr

... • Very good data warehousing and data modeling skills (Kimball, Inmon, Star, Snowflake ... Cloud Data Platform experience is a nice to have

CIYIS LLC

Snowflake Engineer / Architect

Atlanta, GA · On-site

Experience in Data Migration to Snowflake cloud data warehouse * Experience in developing DBT models to transform data into useful, actionable information * Expertise in designing ETL frameworks with ...

Snowflake

Principal Data Platform Architect

Menlo Park, CA · On-site

$189K - $248K/yr

... Snowflake Data Architecture. * Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data ...

eCom Solutions Inc

Snowflake Admin

Dallas, TX · On-site

Responsibilities : • Administer and maintain Snowflake Data Warehouse environments. • Manage ... ELT tools and cloud platforms like AWS, Azure, or GCP. • Hands-on experience in Snowflake ...

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How much do snowflake cloud data warehouse jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for snowflake cloud data warehouse in the United States is $71.41, according to ZipRecruiter salary data. Most workers in this role earn between $62.02 and $85.10 per hour, depending on experience, location, and employer.

What is a Snowflake Cloud Data Warehouse?

A Snowflake Cloud Data Warehouse is a cloud-based platform designed for data storage, processing, and analysis. It allows organizations to store large volumes of structured and semi-structured data, run complex queries, and scale computing resources on demand. Snowflake is known for its architecture that separates storage and compute, making it cost-effective and highly flexible. It supports SQL and integrates with a variety of data tools, making it popular for business intelligence, analytics, and data engineering tasks.

How does a Snowflake Cloud Data Warehouse professional typically collaborate with data engineering and analytics teams?

Professionals working with Snowflake Cloud Data Warehouses often serve as a bridge between data engineering and analytics teams. They design and optimize data pipelines, ensure data is structured and accessible for analysis, and help troubleshoot performance or security issues. Collaboration frequently involves participating in agile sprints, attending cross-functional meetings, and assisting analysts or engineers in understanding how to best leverage Snowflake features for their workflows. Strong communication skills and a proactive approach to problem-solving are essential in this collaborative environment.

What are the key skills and qualifications needed to thrive as a Snowflake Cloud Data Warehouse engineer?

To thrive as a Snowflake Cloud Data Warehouse Engineer, you need expertise in data modeling, SQL, ETL processes, and a solid understanding of cloud data warehousing concepts, often supported by a degree in computer science or a related field. Proficiency with Snowflake's platform, cloud services like AWS/Azure/GCP, and relevant certifications such as Snowflake SnowPro are highly valued. Strong problem-solving abilities, collaboration, and clear communication skills help engineers work effectively with data teams and stakeholders. These skills and qualifications ensure efficient data management, secure scalable solutions, and successful delivery of business insights.

Are Snowflake Cloud Data Warehouse jobs in high demand?

Snowflake Cloud Data Warehouse roles are in high demand due to the increasing adoption of cloud data platforms and the need for data engineers, analysts, and administrators skilled in Snowflake. These jobs often require knowledge of SQL, cloud environments, and data modeling, and they tend to offer strong job growth prospects in the data industry.
Infographic showing various Snowflake Cloud Data Warehouse job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $148,528 per year, or $71.4 per hour.

Cloud Data Warehouse Engineer III

Denver, CO • On-site

Modivcare, Inc.
Health Care and Social Assistance • 10K+ employees
Learn more about Modivcare, Inc.external

$57.50 - $76.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Key responsibilities

  • Build and maintain scalable data pipelines, cloud data warehouse solutions, and transformation frameworks.

  • Design, develop, and maintain dbt projects, models, macros, snapshots, tests, and reusable transformation frameworks.

  • Develop and optimize cloud data warehouse solutions using AWS services and data models supporting reporting, analytics, and operational needs.

Modivcare rating

6.6

Company rating: 6.6 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

Job description

Are you passionate about making a difference in people's lives? Do you enjoy working in a service-oriented industry? If so, this opportunity may be the right fit for you!
At Modivcare, our mission is to connect people to the care they need. Every report, dashboard, operational workflow, and AI initiative starts with trusted data. As a Cloud Data Warehouse Engineer, you'll build scalable data pipelines, cloud data warehouse solutions, and transformation frameworks that enable smarter decisions and improve healthcare outcomes for millions of members.
We're looking for an experienced engineer with strong, hands-on dbt Core experience who enjoys building modern cloud data platforms and turning complex data into business value.
Your work will directly influence how business leaders, operations teams, and analytics partners make decisions every day. You'll help modernize our enterprise data platform by building trusted, scalable data products that improve reporting, enable self-service analytics, and support AI initiatives. This is an opportunity to solve complex technical challenges while making a measurable impact on the healthcare experience for the people we serve.
dbt Engineering & Data Transformation
  • Design, develop, and maintain dbt projects, models, macros, snapshots, tests, and reusable transformation frameworks.
  • Build and maintain enterprise data transformation pipelines using dbt Core and advanced SQL.
  • Develop reusable business logic and data models that support reporting, self-service analytics, operational applications, and AI initiatives.
  • Implement dbt best practices including modular design, testing, documentation, lineage tracking, and source control.
  • Optimize dbt models and transformation workloads for performance, scalability, and maintainability.
  • Support CI/CD deployment processes and automated testing for dbt projects.
  • Collaborate with business and technical teams to translate requirements into scalable and reusable transformation logic.

Data Modeling & Data Warehouse Development
  • Develop and maintain cloud data warehouse solutions using AWS services including Redshift, S3, Glue, Athena, Lambda, and Step Functions.
  • Design and maintain dimensional data models supporting reporting, self-service analytics, and operational data needs.
  • Build and maintain fact tables, dimensions, star schemas, snowflake schemas, and slowly changing dimensions (SCDs).
  • Develop curated data marts and trusted datasets for reporting, analytics, and downstream applications.
  • Partner with business and technical teams to translate requirements into scalable and reusable data models.
  • Optimize data structures and query performance for large-scale analytical workloads.
  • Follow established standards and best practices for data modeling, SQL development, and data warehouse design.

Data Engineering & Pipeline Development
  • Design, build, and maintain batch and near real-time data pipelines supporting enterprise data integration requirements.
  • Develop ELT/ETL workflows using AWS services, dbt, SQL, and Python.
  • Integrate data from operational systems, APIs, SaaS applications, healthcare platforms, and third-party data providers.
  • Support ingestion and transformation of structured, semi-structured, and unstructured data.
  • Optimize data processing workflows for scalability, reliability, and cost efficiency.
  • Troubleshoot and resolve data pipeline and data warehouse performance issues.

Collaboration & Delivery
  • Partner with application teams, business stakeholders, BI developers, and analytics teams to understand data requirements.
  • Deliver trusted and well-documented datasets that support reporting and self-service analytics.
  • Participate in Agile development processes including sprint planning, estimation, code reviews, testing, and release management.
  • Work effectively with remote and offshore teams to deliver data platform initiatives.

We are interested in speaking with individuals with the following...
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field; equivalent combination of education and experience will be considered.
  • Five (5) or more years of experience in data warehousing, cloud data engineering, or related data platform roles.
  • Experience designing and developing enterprise cloud data warehouse solutions.
  • Experience building enterprise ELT/ETL solutions and data integration pipelines.
  • Experience working with modern cloud data warehouse environments.
  • Experience supporting reporting, business intelligence, self-service analytics, and enterprise data platforms.
  • Experience working in healthcare or another regulated industry is preferred.
  • Strong hands-on experience with dbt Core, including development of models, macros, snapshots, tests, documentation, lineage, and reusable transformation frameworks.
  • Advanced knowledge of SQL, including complex joins, window functions, common table expressions (CTEs), analytical transformations, query tuning, and performance optimization.
  • Knowledge of dimensional data modeling techniques, including fact tables, dimensions, star schemas, snowflake schemas, and slowly changing dimensions (SCDs).
  • Proficiency with Amazon Redshift and modern cloud data warehouse technologies.
  • Knowledge of AWS cloud services, including Redshift, S3, Glue, Lambda, Athena, and Step Functions.
  • Proficiency in Python for data engineering, automation, and scripting.
  • Knowledge of Git, CI/CD, and modern software development best practices.
  • Ability to design, develop, and optimize batch, micro-batch, and near real-time data pipelines.
  • Ability to build curated data marts and trusted datasets that support reporting, self-service analytics, and downstream applications.
  • Strong analytical, problem-solving, communication, collaboration, and organizational skills.
  • Ability to work effectively in Agile environments and collaborate with remote and offshore teams.

Salary: $ 97,200.00 - 140,000
The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job.
Primarily seated work; extensive computer and telephone use; occasional standing, walking, reaching, bending, and lifting up to 10 lbs.
Modivcare's positions are posted and open for applications for a minimum of 5 days. Positions may be posted for a maximum of 45 days dependent on the type of role, the number of roles, and the number of applications received. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings.
We value our team members and realize the importance of benefits for you and your family.
Modivcare offers a comprehensive benefits package to include the following:
  • Medical, Dental, and Vision insurance
  • Employer Paid Basic Life Insurance and AD&D
  • Voluntary Life Insurance (Employee/Spouse/Child)
  • Health Care and Dependent Care Flexible Spending Accounts
  • Pre-Tax and Post --Tax Commuter and Parking Benefits
  • 401(k) Retirement Savings Plan with Company Match
  • Paid Time Off
  • Paid Parental Leave
  • Short-Term and Long-Term Disability
  • Tuition Reimbursement
  • Employee Discounts (retail, hotel, food, restaurants, car rental and much more!)

Modivcare is an Equal Opportunity Employer.
  • EEO is The Law - click here for more information
  • Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled
  • We consider all applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, handicap or disability, or status as a Vietnam-era or special disabled veteran in accordance with federal law. If you need assistance, please reach out to us at hr.recruiting@modivcare.com

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