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Snowflake Intern Jobs in Dallas, TX (NOW HIRING)

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Snowflake Cloud data warehouse platform using the Snowpark framework Develop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing ...

Snowflake Intern information

See Dallas, TX salary details

$8

$16

$24

How much do snowflake intern jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for snowflake intern in Dallas, TX is $16.85, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

What types of projects can a Snowflake intern expect to work on, and how do these projects support professional development?

As a Snowflake Intern, you can expect to work on a variety of projects such as developing data pipelines, optimizing SQL queries, supporting data migration efforts, and assisting with cloud data warehouse integrations. These projects are typically designed to provide hands-on experience with Snowflake's platform and related cloud technologies, allowing interns to build practical technical skills. You'll often collaborate with experienced engineers and data analysts, gaining insight into real-world data engineering workflows and best practices. This exposure not only enhances your technical toolkit but also helps you understand the collaborative dynamics of data teams, positioning you well for future roles in data engineering or analytics.

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

To thrive as a Snowflake Intern, you should have a solid understanding of SQL, data warehousing concepts, and programming languages such as Python or Java, often supported by ongoing coursework in computer science or a related field. Familiarity with the Snowflake platform, cloud services like AWS or Azure, and data analytics tools is highly beneficial. Strong problem-solving, attention to detail, and effective communication skills help you collaborate and learn quickly in a team environment. These competencies are vital to contribute meaningfully to projects and adapt to the fast-paced, data-driven work at Snowflake.

What is the difference between Snowflake Intern vs Snowflake Developer?

AspectSnowflake InternSnowflake Developer
Required CredentialsBasic understanding of cloud data platforms, possibly some coursework or certificationsProficiency in SQL, data warehousing, and Snowflake-specific features, often with relevant certifications
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time role, development-focused, responsible for building and maintaining Snowflake data solutions
Employer & Industry UsageInternships in tech companies, data teams, or consulting firmsData engineering teams across various industries using Snowflake for data management

The main difference between a Snowflake Intern and a Snowflake Developer lies in experience, responsibilities, and skill level. Interns are typically in learning roles with entry-level tasks, while developers are responsible for designing and implementing Snowflake data solutions, requiring more expertise and certifications.

What does a Snowflake intern do?

A Snowflake Intern typically works on projects related to data warehousing, cloud computing, and software engineering using the Snowflake platform. Interns may assist with building data pipelines, optimizing queries, or developing new features under the guidance of experienced engineers. The internship provides hands-on experience with real-world data challenges and exposure to modern cloud technologies. Interns are encouraged to learn, collaborate, and contribute to the team’s goals while gaining insights into the industry.

What are the most commonly searched types of Snowflake jobs in Dallas, TX?

The most popular types of Snowflake jobs in Dallas, TX are:

Infographic showing various Snowflake Intern job openings in Dallas, TX as of August 2026, with employment types broken down into 20% Internship, 1% As Needed, 56% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $35,054 per year, or $16.9 per hour.

Machine Learning Engineer

Confie

Addison, TX • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Pay Range:
  • $110000 - $130000 / year

Our Perks & Benefits:_
  • Comprehensive benefits package including medical, dental, vision, and life insurance
  • Performance-based bonuses to reward your contributions*
  • Paid time off to recharge and maintain a healthy work-life balance
  • Flexible work options, including remote and hybrid opportunities, if eligible
  • Retirement Plan (401k) with company-matched contributions
  • Education Advancement, for employees and qualified dependents, via the Confie Enablement Scholarship Fund
  • Fitness Reimbursement - up to $15/month for gym memberships
  • Inclusive workplace through a strong commitment to Diversity, Equity, and Inclusion
  • Employee Assistance Program - confidential support for personal or professional challenges, at no cost
  • Extra Perks - optional plans for disability, hospital indemnity, health advocate program, universal life, critical illness, accident insurance, and even pet insurance

Purpose
Work under the guidance and supervision of the Director, Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models
Essential Duties & Responsibilities
Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework
Develop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing techniques and rigorous statistical analysis
Utilize LLMs and Generative AI to provide software automation capability integrations
Build and operationalize Retrieval Augmented Generation (RAG) frameworks
Enhance, develop, and deploy production-level machine learning models and algorithms that will improve Confie's business outcome/customer experience
Perform data cleansing, analysis, and feature engineering using Python
Ability to work with multiple data sources and types (structured/semi-structured/unstructured)
Assess the effectiveness and accuracy of new data sources and execute data-wrangling techniques
Participate and support other teams, as needed, for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting
Communicate technical results in a clear, concise, and effective manner with emphasis on data visualization techniques
Collaborate with Data Scientists, Data Engineers, and Data Architects on production systems and applications
Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning
On call support
Qualifications and Education Requirements
Master's degree in a quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics)
Expertise in manipulating and analyzing large data (e.g. exploratory analysis, model fitting, and visualization)
Proficient SQL skills and experience working with large data sets (big data, IoT data)
Proficient with programming and modeling using Python
Knowledge of modeling in pre-training & fine tuning foundation LLM models
Knowledge of LangChain and sentence transformer frameworks
Knowledge of ChatGPT4 (or comparable models)
Experience applying current machine learning techniques
Knowledge of evolving data science concepts and best practices
Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Notice
As permitted by applicable law and from time-to-time, Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment, including recruitment, hiring, renewal of employment, or the terms and conditions of your employment. Employees with questions about Confie's use of these computer systems should contact Human Resources at employeerelations@confie.com
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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About Confie

Sourced by ZipRecruiter

Industry

Insurance services

Company size

1,001 - 5,000 Employees

Headquarters location

Huntington Beach, CA, US

Year founded

2008