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Snowflake Data Science Jobs (NOW HIRING)

Saransh Inc

AWS Data Engineer (12+ yrs) - Full Time

Plano, TX · On-site

$109K - $131K/yr

... with Snowflake, Kafka, MuleSoft, and AWS-native analytics services, and can support both real-time and batch data processing while enabling reporting and advanced analytics. Skills: Data science ...

Voya Financial

Snowflake Data Cloud Architect

Manhattan, NY · On-site

$70.25 - $90.25/hr

Required : • Bachelor's degree in Computer Science, MIS, Engineering, or related field. • 10+ years of experience in data architecture/engineering, with 3+ years focused on Snowflake. • Strong ...

KPMG LLP

Snowflake Data Engineer

Irvine, CA · On-site +1

$122K - $147K/yr

Qualifications: • Bachelor's degree from an accredited college or university in computer science, information systems, or a related field • Proven experience as a Snowflake Data Engineer or in a ...

A & Associates

Be Seen First

Snowflake Data Architect (Enterprise Data Platform)

Dallas, TX · On-site

$85/hr

Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or related field (or equivalent experience) What Success Looks Like * A well-architected, scalable Snowflake ...

Allegis Group

Lead Data Scientist

Hanover, MD · On-site

Expertise with SQL for complex querying against cloud data platforms (Snowflake preferred ... Mentor team members on analytics best practices and data science principles. * Presents findings to ...

FAVARH

Snowflake Data Cloud Architect

New York, NY

$69.75 - $89.75/hr

Bachelor's degree in Computer Science, MIS, Engineering, or related field. * 10+ years of experience in data architecture/engineering, with 3+ years focused on Snowflake. * Strong background in ...

Allegis Group

Lead Data Scientist

Hanover, MD

Expertise with SQL for complex querying against cloud data platforms (Snowflake preferred ... Mentor team members on analytics best practices and data science principles. * Presents findings to ...

Allegis Group

Lead Data Scientist

Hanover, MD · On-site

Expertise with SQL for complex querying against cloud data platforms (Snowflake preferred ... Mentor team members on analytics best practices and data science principles. * Presents findings to ...

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Snowflake Data Science information

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$61

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How much do snowflake data science jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for snowflake data science in the United States is $61.40, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $77.40 per hour, depending on experience, location, and employer.

How much does a data scientist make at Snowflake?

Data scientists at Snowflake typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. Compensation may also include bonuses and stock options, especially for senior roles with expertise in SQL, machine learning, and cloud platforms.

Is 30 too late for data science?

Age is not a barrier to becoming a Snowflake Data Science professional. Many data scientists start their careers later in life, and skills such as programming, statistics, and experience with tools like SQL and cloud platforms are more important than age. Continuous learning and gaining relevant certifications can help individuals transition into data science roles at any age.

What is the difference between Snowflake Data Science vs Data Analyst?

AspectSnowflake Data ScienceData Analyst
Primary FocusDeveloping predictive models, machine learning, advanced analyticsData interpretation, reporting, data visualization
Skills & CertificationsData science, machine learning, programming (Python, R), Snowflake expertiseExcel, SQL, data visualization tools, basic analytics
Work EnvironmentCollaborates with data engineers, data scientists, often in cloud environments like SnowflakeWorks with business teams, uses SQL and BI tools, often in enterprise settings

Snowflake Data Science roles focus on building predictive models and advanced analytics using Snowflake's cloud data platform, requiring skills in programming and machine learning. Data Analysts primarily interpret data, create reports, and visualize insights, often using SQL and BI tools. While both roles work with data, Snowflake Data Science is more technical and model-driven, whereas Data Analysts focus on data interpretation and presentation.

Is Snowflake good for data science?

Snowflake is a cloud-based data platform that supports data science workflows by enabling efficient data storage, transformation, and querying. Data scientists can use Snowflake to access large datasets, perform analytics, and integrate with tools like Python and R for modeling. Its scalability and SQL compatibility make it suitable for data science tasks in many organizations.

Is it hard to get hired at Snowflake?

Getting hired for a Snowflake Data Science role can be competitive, as it requires strong technical skills in data analysis, machine learning, and familiarity with Snowflake's cloud data platform. Candidates often need relevant experience, a solid understanding of SQL, and a proven ability to work with large datasets. The hiring process typically involves multiple interviews and technical assessments.
Infographic showing various Snowflake Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $127,710 per year, or $61.4 per hour.

Data Engineer (Snowflake) - Hybrid

Cayuse Holdings

Phoenix, AZ • Hybrid

$70 - $75/hr

Full-time

Posted 16 days ago

Job description

Overview

JOB TITLE: Data Engineer (Snowflake)

LOCATION: Phoenix, AZ (Hybrid)

EMPLOYEE TYPE: Contractor (1099/C2C)

PAY RATE: $70-75 per hour

**This position is posted for future opportunities. Please submit your application to be considered for similar upcoming roles**

Cayuse Commercial Services (CCS) delivers fresh solutions to business challenges in the technology and business services environment. Services available are application development, business process outsourcing, data services, and professional services. Cayuse helps clients to achieve impactful outcomes such as improved efficiency, reduced cost, increased profitability and accelerated time to market.


Responsibilities

We are seeking a highly skilled Snowflake Data Engineer to join our data engineering team. The ideal candidate will have a deep understanding of Snowflake’s data platform and strong expertise in SQL, Python, and data reporting tools such as Tableau. The Snowflake Data Engineer will be responsible for designing, implementing, and optimizing data pipelines, as well as developing analytics capabilities to support business intelligence and decision-making across the organization. This position requires a collaborative, detail-oriented professional with experience in real-time data ingestion, advanced analytics, and managing complex data environments.

Key Responsibilities:
  • Data Analysis and Reporting: Utilize SQL window functions to perform advanced data calculations, such as running totals, moving averages, and rankings, enabling deeper insights into sales trends and performance metrics.
  • Automated Insights: Prepare and automate detailed real-time reports using Python and SQL, providing actionable insights to stakeholders and enhancing the company’s decision-making processes.
  • Pipeline Development: Develop and optimize data pipelines using Snowpipe and SnowSQL for real-time and batch data ingestion, achieving improved data processing efficiency by 20%.
  • Data Applications Development: Implement Snowpark to build scalable and high-performance data applications using Python, enhancing data manipulation, analysis, and processing capabilities.
  • Data Recovery and Auditing: Leverage Snowflake’s Time Travel features to enable auditing, data recovery, and version control, ensuring data integrity and regulatory compliance.
  • Environment Management: Manage Snowflake's Zero Copy Cloning to create cost-effective development, testing, and staging environments without incurring additional storage costs.
  • Data Visualization: Collaborate with product managers to develop dynamic dashboards on Tableau, enabling tracking of key supply chain metrics and effectively identifying Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs).

Qualifications

Required Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. Equivalent work experience may be considered.
  • Proven experience working with Snowflake Data Cloud and its key functionalities, including Snowpark, Snowpipe, and Time Travel.
  • Proficiency in programming with Python for data processing and analytics.
  • Advanced SQL skills, including working with window functions for complex calculations and analysis.
  • Experience developing interactive dashboards with Tableau or similar visualization tools.
  • Strong understanding of data engineering best practices, including data integrity, compliance, and real-time data ingestion techniques.
  • Familiarity with cloud data architecture and concepts such as Zero Copy Cloning and scalable application development.
Preferred Qualifications:
  • Certification in Snowflake or related cloud data platforms (e.g., AWS, Azure, GCP).
  • Experience in supply chain analytics or supporting business systems in a large-scale environment.
  • Strong collaboration skills and ability to work cross-functionally with product managers, analysts, and other engineering teams.

Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law.