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Snowflake Certification Jobs (NOW HIRING)

Data Integrator

Frisco, TX · On-site

$107K - $129K/yr

Preferred : • AWS or Informatica or Snowflake certification is preferred. • Experience with Dataiku is a plus. Company : Perfict Global is an IT consulting services provider, focused on providing ...

Senior Database Engineer

Dallas, TX · On-site

$104K - $142K/yr

Exadata and Snowflake certification. Team Information Aligned to Infrastructure Managed Services / Technology Services business unit. Supports enterprise-level database engineering and performance ...

Snowflake certification is a plus. Education: * Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field required.

Snowflake Administrator Senior

North East, PA · On-site +1

$46 - $63.25/hr

Experience with Snowflake certifications such as SnowPro Core or SnowPro Advanced. * Experience with Snowflake resource optimization, cost management, automation, and disaster recovery. Why You'll ...

Certification Coordinator

Menlo Park, CA · On-site

$101K - $132K/yr

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek ... The Snowflake Global Revenue Enablement certification team is fanatical about building and ...

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Snowflake Certification information

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$67

$84

How much do snowflake certification jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for snowflake certification in the United States is $67.61, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $76.68 per hour, depending on experience, location, and employer.

What is Snowflake certification?

Snowflake Certification is an official recognition provided by Snowflake, a leading cloud data platform, to validate your expertise in using Snowflake's products and services. Earning a Snowflake Certification demonstrates your ability to design, develop, and manage data solutions using the Snowflake platform. There are different certification levels and tracks, such as SnowPro Core and SnowPro Advanced, depending on your area of focus. Employers often value Snowflake Certification as it highlights your proficiency in modern cloud-based data warehousing and analytics solutions.

What are the typical responsibilities for professionals working with Snowflake after certification?

After earning a Snowflake Certification, professionals often manage and optimize cloud data warehouse solutions, build and maintain data pipelines, and ensure data security and compliance. They frequently collaborate with data engineers, analysts, and business stakeholders to design efficient data models and support analytics initiatives. Daily tasks may include writing SQL queries, troubleshooting performance issues, and integrating Snowflake with other cloud platforms and tools. The role requires staying updated on new Snowflake features and best practices to deliver robust data solutions.

What are the key skills and qualifications needed to thrive as a Snowflake certified professional, and why are they important?

To thrive as a Snowflake Certified professional, you need a solid understanding of cloud data warehousing concepts, SQL, and data modeling, typically demonstrated by completing Snowflake's official certification. Experience with Snowflake's platform, data integration tools, and familiarity with cloud services like AWS, Azure, or GCP are commonly required. Strong problem-solving, analytical thinking, and communication skills help you implement effective data solutions for organizations. These competencies ensure you can optimize data management, drive business insights, and maintain secure, scalable data environments.

What is the difference between Snowflake Certification vs Data Engineer?

AspectSnowflake CertificationData Engineer
Required CredentialsCertification exams focused on Snowflake platform skillsDegree in Computer Science or related field, often with multiple certifications
Work EnvironmentPrimarily cloud data platform environments, using Snowflake toolsData pipelines, ETL processes, cloud and on-premise environments
Employer & Industry UsageCompanies using Snowflake for data warehousingOrganizations managing large-scale data infrastructure across industries
Search & Comparison IntentYes, often compared for cloud data platform expertiseBroader data management and engineering roles

Snowflake Certification validates expertise in Snowflake's cloud data platform, focusing on platform-specific skills. Data Engineers have a broader role in designing and maintaining data pipelines across various tools and platforms. While Snowflake Certification enhances cloud data warehousing credentials, Data Engineers typically possess a wider skill set for data architecture and engineering tasks.

Are Snowflake certifications worth it?

Snowflake certifications validate skills in data warehousing and cloud data platform management, which can enhance job prospects for roles like data engineers and analysts. They demonstrate proficiency with Snowflake tools and concepts, potentially leading to higher earning potential and career advancement in data-related fields.

What jobs require Snowflake certification?

Jobs that require Snowflake certification typically include data engineers, data analysts, data architects, and cloud engineers working with data warehousing and cloud-based data platforms. These roles often involve designing, implementing, and managing data solutions using Snowflake, along with skills in SQL, cloud environments, and data modeling.

What cities are hiring for Snowflake Certification jobs?

Cities with the most Snowflake Certification job openings:

What other helpful pages are available for Snowflake Certification?

Other pages related to Snowflake Certification:

Infographic showing various Snowflake Certification job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Hybrid job distribution, with an average salary of $140,621 per year, or $67.6 per hour.

Snowflake Engineer (Snowflake Cortex & Data Engineering)

Mclean, VA • On-site

Dovel Technologies, Inc
Software Development • 51 - 200 employees

$125 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


Job description

## Snowflake Engineer (Snowflake Cortex & Data Engineering)Applylocations: US - VA, McLean: US - Remote (Any location)time type: Full timeposted on: Posted Todayjob requisition id: 42768**Job Family:**Data Science & Analysis**Travel Required:**Up to 10%**Clearance Required:**Ability to Obtain Public Trust**What You Will Do:*** Design, develop, and optimize Snowflake data solutions supporting enterprise analytics, reporting, and data-driven decision making.* Build scalable batch and near real-time data ingestion and processing pipelines using Snowpipe, Streams, Tasks, Dynamic Tables, and Snowpark.* Develop and maintain advanced SQL-based solutions, including complex stored procedures, UDFs, views, and reusable data transformation frameworks.* Design and implement enterprise-grade ELT/ETL pipelines and metadata-driven automation frameworks.* Optimize Snowflake performance, scalability, reliability, and cost through query tuning, workload optimization, and platform best practices.* Implement secure, governed data solutions leveraging Snowflake native capabilities, including RBAC, data sharing, and governance controls.* Design and support enterprise data warehouse, data mart, and lakehouse architectures.* Integrate data from cloud, on-premises, API, and SaaS data sources.* Collaborate with architects, analysts, product owners, and business stakeholders to deliver high-quality data products and solutions.* Provide production support, monitoring, troubleshooting, incident resolution, and continuous platform improvement.* Support AI and advanced analytics initiatives leveraging Snowflake Cortex, Snowpark, and related Snowflake capabilities.**What You Will Need:*** Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.* Bachelors Degree* FIVE (5) or more years of data engineering experience, including TWO (2) years of hands-on Snowflake experience.* Experience in SQL development with extensive experience building and optimizing complex queries against large datasets.* Experience developing and maintaining stored procedures, UDFs, views, and data transformation logic.* Deep understanding of Snowflake architecture, including Virtual Warehouses, micro-partitions, clustering, caching, and performance optimization.* Hands-on experience designing, implementing, and supporting Snowflake-native capabilities, including Snowpipe, Streams, Tasks, Dynamic Tables, Change Data Capture (CDC) patterns* Experience administering secure, scalable Snowflake environments and implementing RBAC, data access controls, and governance frameworks.* Experience building scalable ELT/ETL frameworks and enterprise data pipelines.* Experience with data quality, reconciliation, monitoring, and operational support processes.* Knowledge of cloud platforms such as AWS, Azure, or GCP.* Experience with CI/CD pipelines, Git-based source control, Infrastructure as Code (IaC), and automated deployment practices.* Familiarity with production support, observability, incident management, and operational readiness best practices.**What Would Be Nice To Have:*** Hands-on experience implementing Snowflake Cortex capabilities and AI-powered data solutions.* Familiarity with production support, observability, incident management, and operational readiness best practices.* Experience with Cortex AI functions, semantic search, intelligent data applications, and AI-driven analytics.* Experience leveraging Snowpark (Python) for advanced data engineering, analytics, and AI/ML workloads.* Understanding of Retrieval-Augmented Generation (RAG), vector search, LLM-powered applications, and generative AI use cases within Snowflake.* Experience with dbt and modern analytics engineering practices.* Strong Python development experience.* SnowPro Core, SnowPro Advanced, or other Snowflake certifications.* Experience supporting regulated industries or large enterprise environments.* Experience designing cloud-native data products that support machine learning, advanced analytics, and AI initiatives.The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.**What We Offer:**Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.Benefits include:* Medical, Rx, Dental & Vision Insurance* Personal and Family Sick Time & Company Paid Holidays* Parental Leave* 401(k) Retirement Plan* Group Term Life and Travel Assistance* Voluntary Life and AD&D Insurance* Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts* Transit and Parking Commuter Benefits* Short-Term & Long-Term Disability* Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities* Employee Referral Program* Corporate Sponsored Events & Community Outreach* Care.com annual membership* Employee Assistance Program* Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)* Position may be eligible for a discretionary variable incentive bonus #J-18808-Ljbffr