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Snowflake Data Science Jobs (NOW HIRING)

Morningstar

Senior Snowflake Data Engineer

Chicago, IL

$114K - $167K/yr

Partner with analytics, BI, and data science teams to translate business requirements into scalable ... Proven experience designing Snowflake data architecture at scale * Advanced SQL and query ...

Snowflake

Senior Data Engineer - Product

Menlo Park, CA · On-site

$168K - $241K/yr

We are looking for a skilled Snowflake Data Engineer to join our Product and Data Science team. The ideal candidate brings a solid background in data engineering, with deep expertise in Snowflake and ...

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 ...

NOVUS

Director, Data Science

Chicago, IL · On-site

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and ... Stand up clean room and privacy-preserving measurement workflows (Snowflake Data Clean Rooms ...

Novus Print Media

Director, Data Science

Chicago, IL · Hybrid

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and ... Stand up clean room and privacy-preserving measurement workflows (Snowflake Data Clean Rooms ...

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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.

SQL Developer (Snowflake/Data Analytics)

Precision Technologies Corp

Tampa, FL • On-site

Full-time

Posted 21 days ago

Job description

Role:  SQL Developer (Snowflake/Data Analytics)

Location: Tampa, FL

Type: Full-Time

Our challenge

We are seeking a skilled SQL Developer with expertise in Snowflake and a strong background in data analytics to join our data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data solutions, performing complex data analysis, and delivering actionable insights to support business objectives. This role requires a deep understanding of SQL, data warehousing, and aggregate data analysis techniques. 

Responsibilities:

  • Develop, optimize, and maintain SQL queries, stored procedures, and data pipelines within Snowflake.
  • Design and implement data models, schemas, and transformations to support reporting and analytics.
  • Collaborate with business stakeholders to understand data requirements and deliver analytical solutions.
  • Perform complex data analysis, data validation, and troubleshoot data issues.
  • Create and maintain dashboards, reports, and data visualizations to present insights effectively.
  • Ensure data accuracy, consistency, and security across data storage and reporting platforms.
  • Optimize Snowflake and SQL performance for large datasets and complex queries.
  • Conduct data quality audits and implement best practices for data governance.
  • Support data migration, integration, and ETL processes.
  • Stay informed about new features and best practices in Snowflake and data analytics tools.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
  • 7+ years of hands-on SQL development experience, particularly with Snowflake.
  • Strong proficiency in SQL query writing, optimization, and performance tuning.
  • Experience with data modeling, schema design, and data warehousing concepts.
  • Ability to analyze large datasets and extract meaningful insights.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Knowledge of data governance, security, and compliance best practices.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills and ability to work collaboratively across teams.

Preferred, but not required:

  • Experience with other cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery).
  • Knowledge of scripting languages such as Python or R for data analysis.
  • Familiarity with ETL tools and processes.
  • Certification in Snowflake or data analytics is a plus.