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Snowflake Jobs in Minnesota (NOW HIRING)

Sovos

Senior Data Engineer

Hopkins, MN · On-site

$107K - $146K/yr

Responsibilities : • Design and build the Snowflake schema and dbt model architecture for the US topline data chain: Billing → ARR → Deferred Revenue → Rev Rec → Close Pack • Deliver ...

Windquest

Sr Data Analyst - Crecera Brands

Minneapolis, MN · On-site

$75K - $110K/yr

This role combines strong analytical thinking with technical expertise in SQL, Python, R, Tableau, and Snowflake to support strategic and operational initiatives. The ideal candidate is a hands-on ...

Judge Group, Inc.

Database Engineer

Minneapolis, MN · On-site

$73 - $78/hr

Experience working with Snowflake and modern cloud data platforms. * Experience with CI/CD and DevOps tools including GitHub, Git Actions, Artifactory, Harness, and IDP platforms . * Experience with ...

Cambria

Data Engineering Manager

Belle Plaine, MN · On-site

Partner with Analytics and Architecture leaders on critical decisions about Snowflake, AWS, dbt, ingestion tooling, and BI platforms. Set the technical bar for quality, scalability, observability ...

Polaris, Inc.

OneStream Developer

Medina, MN · Hybrid

$70K - $85K/yr

You will also contribute to data and reporting initiatives using Snowflake and Power BI. In this role, you will work closely with finance and cross-functional stakeholders to translate business needs ...

Polaris, Inc.

OneStream Developer

Medina, MN · On-site

$70K - $85K/yr

You will also contribute to data and reporting initiatives using Snowflake and Power BI. In this role, you will work closely with finance and cross-functional stakeholders to translate business needs ...

Cambria

Data Engineering Manager

Belle Plaine, MN · On-site

Partner with Analytics and Architecture leaders on critical decisions about Snowflake, AWS, dbt, ingestion tooling, and BI platforms. Set the technical bar for quality, scalability, observability ...

THOMSON REUTERS

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

Demonstrate expert proficiency in DBT, SQL, Alteryx, Snowflake, Power BI, Tableau, Python (for data analysis and scripting), Excel (including advanced functions and modeling), and PowerPoint. * Have ...

Thomson Reuters

Lead Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Demonstrate expert proficiency in DBT, SQL, Alteryx, Snowflake, Power BI, Tableau, Python (for data analysis and scripting), Excel (including advanced functions and modeling), and PowerPoint. * Have ...

Ztek Consulting INC

Lead Data Engineer

Minneapolis, MN · On-site

... Snowflake, Oracle and SQL) 5 years of experience in designing data conformation from disparate data sources for data analytics 3 years of experience in Cloud platform (AWS) Nice to have skills:

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How much do snowflake jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for snowflake in Minnesota is $66.21, according to ZipRecruiter salary data. Most workers in this role earn between $58.61 and $75.10 per hour, depending on experience, location, and employer.

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 Minnesota? The most popular types of Snowflake jobs in Minnesota are:
What are popular job titles related to Snowflake jobs in Minnesota? For Snowflake jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Snowflake jobs in Minnesota look for? The top searched job categories for Snowflake jobs in Minnesota are:
What cities in Minnesota are hiring for Snowflake jobs? Cities in Minnesota with the most Snowflake job openings:
Snowflake jobs near you
Infographic showing various Snowflake job openings in Minnesota as of July 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $137,725 per year, or $66.2 per hour.
Senior Data Engineer

Senior Data Engineer

Sovos

Hopkins, MN • On-site

$107K - $146K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Sovos is a global leader in tax compliance solutions, dedicated to transforming compliance into a growth driver for businesses. The Senior Data Engineer will play a crucial role in building a financial data platform, managing the entire data pipeline, and ensuring data quality and reliability for critical financial processes.
Responsibilities:
• Design and build the Snowflake schema and dbt model architecture for the US topline data chain: Billing → ARR → Deferred Revenue → Rev Rec → Close Pack
• Deliver ingestion and transformation models with full test coverage and documentation across all assigned use cases
• Own pipeline reliability through financial close – monitor, alert on, and recover from failures; serve as the primary on-call escalation point
• Establish data quality standards, dbt testing conventions, and Snowflake governance patterns for the broader team
• Partner with the Analytics Engineer on business-layer model design to ensure technical outputs map accurately to finance requirements
• Extend the dbt model layer to cover OPEX, COGS, commissions, and ASC 340-40 capitalized software as scope grows
• Write dbt YAML documentation – table descriptions, column definitions, and grain statements – as a first-class production deliverable, recognizing that documentation quality directly determines AI answer accuracy
• Own row-level security and model freshness SLAs for real-time AI queries, treating AI consumers as first-class stakeholders alongside finance
Qualifications:
Required:
• 5–8 years of experience in data engineering, with a track record of building and maintaining production pipelines and dbt projects at scale
• Advanced SQL skills: CTEs, window functions, LATERAL joins, performance tuning, and complex multi-source financial queries
• Production dbt experience: modular models, tests, documentation, and semantic metadata for both AI and BI consumers
• Snowflake proficiency: roles, warehouses, governance, masking policies, and row-level security – not just querying, but owning the environment
• Experience supporting financial close cycles, including on-call ownership of pipeline failures; understands what WD1 means and why it matters
• Fluency in the revenue data chain (Billing → ARR → Deferred Revenue → Rev Rec → Close Pack) with the ability to engage finance stakeholders directly on data discrepancies
• Strong communication skills: able to explain technical trade-offs to non-technical audiences and write documentation that finance analysts can use to validate outputs
Preferred:
• Experience integrating CRM/ERP systems (NetSuite, Salesforce, or similar) into a warehouse layer, including ELT patterns, API pagination, and incremental loads
• Python for pipeline scripting and orchestration
• Cloud infrastructure experience: Azure (App Service, Azure AD, Functions) or AWS; familiarity with auth patterns (JWT, OAuth) and CI/CD fundamentals
• Experience with Model Context Protocol (MCP) or similar frameworks for connecting AI agents to structured data
• Background in B2B SaaS metrics: ARR, GRR, NRR, churn, and deferred revenue
• Familiarity with data governance practices: PII handling, access control, and GDPR basics
• RAG architecture, hybrid retrieval strategies, or prompt engineering experience
• MLOps or ML pipeline experience
• Domain knowledge in compliance, tax technology, or e-invoicing
Company:
Sovos provides IT-driven global tax, compliance, and trust solutions for businesses in an evolving regulatory landscape. Founded in 1979, the company is headquartered in Wilmington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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