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Snowflake Data Science Jobs (NOW HIRING)

Sr. Data Analyst Snowflake

Houston, TX · On-site

$82K - $103K/yr

Senior Data Analyst -Snowflake Location: Houston TX - Onsite Duration: Full time /Direct Hire Job ... Collaborate with business analysts, data scientists, and other stakeholders to understand business ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Since 2005, we have partnered with some of the largest healthcare, life sciences, financial ... Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Since 2005, we have partnered with some of the largest healthcare, life sciences, financial ... Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Since 2005, we have partnered with some of the largest healthcare, life sciences, financial ... Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Since 2005, we have partnered with some of the largest healthcare, life sciences, financial ... Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for ...

Snowflake Engineer

Dublin, OH · On-site

$110K - $132K/yr

Collaborate with analytics, BI, and data science teams to deliver high-quality datasets and data marts. * Integrate Snowflake with ETL/ELT tools (Informatica, dbt, Matillion, Talend, etc.) and ...

Snowflake Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Education: Bachelor's degree in Computer Science, Business Management, or Industrial Engineering ... data engineering capacity. * Must have 2+ years Snowflake architectural experience * Technical ...

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Snowflake Data Science information

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$12

$61

$99

How much do snowflake data science jobs pay per hour?

As of Jun 11, 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.
Sr. Data Analyst Snowflake

Sr. Data Analyst Snowflake

NAVA Software Solutions

Houston, TX • On-site

$82K - $103K/yr

Full-time

Posted 25 days ago


Job description

NAVA Software solutions is looking for a Senior Data Analyst Snowflake
Details:
Senior Data Analyst -Snowflake
Location: Houston TX - Onsite
Duration: Full time /Direct Hire
Job Summary: The Senior Snowflake Data Analyst plays a crucial role in leveraging the Snowflake data platform to extract meaningful insights, support decision-making processes, and optimize data-related operations. This senior-level position involves advanced data analysis, database management, and collaboration with cross-functional teams to ensure effective utilization of Snowflake in meeting business objectives.
Key Responsibilities:
  1. Data Analysis and Interpretation:
    • Conduct advanced data analysis using Snowflake, extracting actionable insights from complex datasets.
    • Interpret and communicate findings to both technical and non-technical stakeholders to drive data-informed decision-making.
  1. Database Management:
    • Design and implement optimized Snowflake data structures, including tables, views, and stored procedures.
    • Develop and maintain efficient ETL processes to ensure the timely and accurate flow of data into and out of Snowflake.
  1. Query Optimization:
    • Optimize SQL queries for performance and efficiency, ensuring the best use of Snowflake's capabilities.
    • Collaborate with database administrators and developers to fine-tune database performance.
  1. Data Governance and Security:
    • Implement and enforce data governance policies within Snowflake to maintain data integrity and security.
    • Work closely with security teams to ensure compliance with industry standards and regulations.
  1. Collaboration with Stakeholders:
    • Collaborate with business analysts, data scientists, and other stakeholders to understand business requirements and provide data-driven solutions.
    • Act as a subject matter expert, providing guidance on the use of Snowflake for various analytical purposes.
  1. Performance Monitoring and Reporting:
    • Monitor and analyze system performance metrics to proactively identify and address potential issues.
    • Generate regular reports on data usage, performance, and system health.
  1. Documentation:
    • Maintain comprehensive documentation of database structures, data flows, and ETL processes within Snowflake.
    • Develop and update documentation for data standards and best practices.
  1. Training and Mentoring:
    • Provide training and mentorship to junior data analysts or other team members on Snowflake best practices and advanced analytics.

Qualifications:
  • Bachelor's or Master's degree in Data Science, Computer Science, or a related field.
  • Proven experience as a data analyst with a focus on Snowflake data platform.
  • Advanced proficiency in SQL and experience with Snowflake-specific SQL syntax.
  • Strong understanding of data warehousing concepts and best practices.
  • Excellent analytical, problem-solving, and communication skills.

Preferred Skills:
  • Snowflake Certification.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of cloud platforms (e.g., AWS, Azure) and their integration with Snowflake.
  • Familiarity with data modeling and schema design.

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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