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Snowflake Jobs in Utah (NOW HIRING)

Crumbl

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

Production Snowflake experience: schema design, performance tuning, and warehouse/cost optimization * AWS data services (e.g., S3, Glue, Lambda) * Data quality and observability with dbt + Elementary

RED CAT HOLDINGS

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/yr

Help set up our first cloud data warehouse (e.g., Snowflake or BigQuery) and the initial schema/layout. * Add data quality checks (tests, constraints, anomaly detection, reconciliation checks) and ...

MX Technologies, Inc.

Senior Analytics Engineer

Lehi, UT · On-site

$98K - $134K/yr

Snowflake, Redshift, or Databricks acceptable). * Familiarity with programming languages such as Python for workflow automation and data quality checks. * Experience with modern data versioning and ...

Pwc

Data Engineer - Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

... and Snowflake - Guiding team members in data architecture development and database optimization - Validating data quality, security, and compliance within analytics frameworks - Identifying ...

Filevine

FP&A Analyst - Revenue

Salt Lake City, UT · On-site

Use Snowflake and Domo to build self-serve dashboards and pull ad-hoc analyses for executive decisions What You'll Need: * 3-6 years of FP&A, strategic finance, or revenue operations experience; SaaS ...

Pwc

Data Engineer - Manager

Salt Lake City, UT

... or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs ...

NetDocuments

Staff Data Architect

Lehi, UT · On-site

$59.75 - $77/hr

Extend that ownership to event streaming (Kafka) and our Snowflake-based analytics platform, ensuring a coherent design across the full data estate. * Build event-driven data systems. Architect ...

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT

$77K - $202K/yr

... Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data ...

Pwc

Data Engineer - Senior Manager

Salt Lake City, UT · On-site

$124K - $280K/yr

... Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

NetDocuments

Staff Data Architect

Lehi, UT · On-site

$59.75 - $77/hr

Oversee the design and governance of our Snowflake-based data platform, including data modeling, ingestion pipelines, and access patterns. * Ensure systems are optimized for performance, reliability ...

Filevine

FP&A Analyst - Revenue

Salt Lake City, UT

Use Snowflake and Domo to build self-serve dashboards and pull ad-hoc analyses for executive decisions What You'll Need: * 3-6 years of FP&A, strategic finance, or revenue operations experience; SaaS ...

Filevine

FP&A Analyst - Revenue

Salt Lake City, UT · On-site

Use Snowflake and Domo to build self-serve dashboards and pull ad-hoc analyses for executive decisions What You'll Need: * 3-6 years of FP&A, strategic finance, or revenue operations experience; SaaS ...

Apply Early

Stio

Data Analyst

Salt Lake City, UT · Remote

You'll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most ...

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Snowflake information

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and experience with cloud environments can enhance job prospects in this field.

What is a Snowflake job?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

How much do Snowflake employees make?

Salaries for Snowflake employees vary by role, experience, and location, but the average base salary ranges from approximately $100,000 to $150,000 annually for many positions. Technical roles such as data engineers and software engineers tend to be higher, often exceeding $120,000, with additional compensation like bonuses and stock options common in the company’s compensation packages.

Is Snowflake skill in demand?

Snowflake skills are highly in demand as organizations increasingly adopt cloud data warehousing solutions. Professionals with expertise in Snowflake, along with knowledge of SQL and data management, often find strong job opportunities across various industries.

How hard is it to get a job at Snowflake?

Getting a job as a Snowflake professional typically requires relevant technical skills such as data warehousing, SQL, and cloud platforms, along with experience in data management or analytics. The hiring process often involves multiple interview rounds assessing technical knowledge, problem-solving ability, and cultural fit, making it competitive but achievable with proper preparation.

What are the key skills and qualifications needed to thrive in the Snowflake position, and why are they important?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are the most commonly searched types of Snowflake jobs in Utah? The most popular types of Snowflake jobs in Utah are:
What are popular job titles related to Snowflake jobs in Utah? For Snowflake jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Snowflake jobs in Utah look for? The top searched job categories for Snowflake jobs in Utah are:
What cities in Utah are hiring for Snowflake jobs? Cities in Utah with the most Snowflake job openings:
Snowflake jobs near you
Infographic showing various Snowflake job openings in Utah as of June 2026, with employment types broken down into 53% Part Time, and 47% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution.
Data Engineer

Data Engineer

Crumbl

Provo, UT • On-site

$108K - $130K/yr

Full-time

Posted 27 days ago

Job description

Crumbl HQ is seeking a skilled and motivated data engineer to join our growing team. The successful candidate will be responsible for building and maintaining data pipelines using dbt and Prefect to support data-driven decision-making across the organization.
Responsibilities
  •  Design, build, and maintain scalable and reliable data pipelines through ELT/ETL extraction methods.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality
  • Develop and maintain documentation, including data dictionaries, workflow diagrams, and data flow diagrams
  • Ensure the integrity and security of data by implementing appropriate controls and monitoring
  • Optimize and tune data pipelines to ensure efficient processing and query performance
  • Implement and maintain data security policies and procedures, including access controls, encryption, and data masking
  • Design and implement data processing workflows using dbt and Prefect to support data science and machine learning applications
  • Develop and maintain data ingestion processes to bring data from external sources into the organization’s data environment
  • Identify and address performance issues with data pipelines, and work with infrastructure and operations teams to optimize system performance
  • Conduct testing and validation of data pipelines to ensure they are functioning correctly and meeting business requirements
  • Participate in code reviews and contribute to the development of best practices for data engineering
  • Stay current with emerging technologies and trends in data engineering and data science, and identify opportunities to leverage them within the organization
Qualifications
  • Bachelor’s or Master’s degree in Data Science, Information Systems, or a related field
  • 3+ years building and maintaining production data pipelines (degree in a related field or equivalent experience)
  • Advanced SQL: window functions, CTEs, and query/performance tuning on large datasets
  • Strong Python for data engineering (modular, testable pipeline code)
  • Hands-on dbt experience: models, tests, macros, and incremental materializations
  • Production Snowflake experience: schema design, performance tuning, and warehouse/cost optimization
  • AWS data services (e.g., S3, Glue, Lambda)
  • Data quality and observability with dbt + Elementary
  • Infrastructure-as-code with Terraform and version control with Git
  • Dimensional data modeling (star/snowflake schemas, SCDs) and lakehouse concepts
  • Strong problem-solving skills and clear communication with analysts, scientists, and stakeholders

Benefits & Perks

- Medical, dental, and vision benefits
- 15 days PTO/year
- 10 paid holidays
- Paid parental leave
- Personal phone bill reimbursement
- Gym reimbursement
- Corporate DoorDash® DashPass membership
- Regular company and team activities
- 401k with competitive matching contribution plan
- Excellent opportunities for career growth
- Work in a hyper-growth company

Crumbl was founded in 2017 by Jason McGowan & Sawyer Hemsley in Logan, Utah. It is now the fastest-growing cookie company in the nation with over 1000 locations in the USA and Canada. Crumbl is powered by cutting-edge technology, iconic branding, delicious desserts, and passionate people.

Crumbl HQ and franchisees provide employment for over 26,000 people across the United States, and all of our franchises are owned and operated by independent members of the local community.

Crumbl’s 200+ unique cookie flavors rotate weekly and are served in our famous pink box! 

Crumbl is an equal opportunity employer. Crumbl provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

Recruitment Agencies: Crumbl HQ doesn't typically partner with 3rd party recruitment resources. If we require assistance on this search we will contact selected partners directly; we do not accept unsolicited candidate submissions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.