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Snowflake Entry Level Jobs (NOW HIRING)

Collibra DIP (Information Catalog), Collibra Data Quality and Observability, Snowflake, PowerBI ... This position serves as a team member in an entry-level position and works under direct supervision ...

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Snowflake Entry Level information

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$10

$19

$26

How much do snowflake entry level jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for snowflake entry level in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level professionals working with Snowflake, and how can they overcome them?

Entry-level professionals working with Snowflake often face challenges such as learning the platform's unique cloud-based architecture, understanding data sharing and security features, and optimizing SQL queries for performance. To overcome these challenges, new hires are encouraged to leverage Snowflake’s extensive documentation, participate in team knowledge-sharing sessions, and seek mentorship from experienced colleagues. Regularly practicing query writing and exploring sample datasets can also accelerate familiarity with Snowflake’s environment, helping entry-level professionals become effective contributors more quickly.

What are Snowflake entry level jobs?

Snowflake entry level jobs are positions suited for individuals who are new to working with the Snowflake cloud data platform. These roles typically include titles such as Data Analyst, Junior Data Engineer, or Cloud Support Associate, and involve tasks like writing SQL queries, managing data pipelines, and supporting data warehousing solutions. Candidates are expected to have a basic understanding of databases, cloud computing, and some programming or SQL experience. Entry level roles offer opportunities to learn more about data warehousing, analytics, and cloud-based technologies while working under the guidance of experienced professionals.

What are the key skills and qualifications needed to thrive as an Entry Level Snowflake Developer, and why are they important?

To thrive as an Entry Level Snowflake Developer, you need foundational knowledge of SQL, data warehousing concepts, and a relevant degree in computer science or information technology. Familiarity with the Snowflake platform, cloud services like AWS or Azure, and basic ETL tools is typically expected, and completing the Snowflake SnowPro Core Certification can be advantageous. Strong problem-solving, attention to detail, and communication skills help you collaborate effectively and address data challenges. These skills ensure accurate data management, efficient teamwork, and the ability to grow quickly in a fast-paced, cloud-based data environment.

How to get a job at Snowflake?

To get a Snowflake entry-level job, candidates should have a strong understanding of cloud data platforms, SQL, and data warehousing concepts. Relevant skills include familiarity with Snowflake's architecture and tools, along with a bachelor's degree in a related field; certifications can also enhance prospects. Applying through the company's careers page and preparing for technical interviews are key steps.

Are Snowflake jobs in high demand?

Snowflake entry-level jobs are in high demand due to the increasing adoption of cloud data platforms and the need for data management skills. These roles often require knowledge of SQL, data warehousing, and cloud environments, making them attractive for new professionals entering the data industry.

Does Snowflake hire new grads?

Snowflake, as a company, has hired entry-level and new graduate candidates for various roles, including those related to data engineering, software development, and support. Candidates typically need relevant skills, such as knowledge of SQL, cloud platforms, or data tools, and may be expected to demonstrate technical proficiency during the hiring process.

Is it hard to get hired at Snowflake?

Getting hired for an entry-level Snowflake role can be competitive, as the company looks for candidates with a strong understanding of cloud data platforms, SQL, and related tools. Candidates often need relevant skills, certifications, or internship experience to improve their chances of securing the position.
More about Snowflake Entry Level jobs
What cities are hiring for Snowflake Entry Level jobs? Cities with the most Snowflake Entry Level job openings:
What are the most commonly searched types of Snowflake jobs? The most popular types of Snowflake jobs are:
What states have the most Snowflake Entry Level jobs? States with the most job openings for Snowflake Entry Level jobs include:
Infographic showing various Snowflake Entry Level job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $39,629 per year, or $19.1 per hour.
AI Engineer / Data Scientist, AI Experienced Associate

AI Engineer / Data Scientist, AI Experienced Associate

Pwc

Detroit, MI • On-site

$63K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 hours ago

Posted today


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Associate

Job Description & Summary

The Opportunity
As part of the AI Engineering team within the Digital Assurance & Technology team, we're seeking an innovative and versatile AI professional with AI and ML development and/or testing expertise. In this role, you'll work with teams that are building and deploying scalable AI-powered solutions within real-world applications. You'll work cross-functionally with data scientists, ML engineers, backend/frontend developers, and product teams to help test and deliver impactful AI products.
In this role, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. You will be expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. Embrace the opportunity to grow in a fast-paced environment, adapting to diverse challenges and contributing to innovative solutions.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing scalable machine learning models to support client decision-making processes
- Collaborating with cross-functional teams to integrate AI solutions into existing platforms
- Conducting data wrangling and preprocessing to prepare datasets for analysis
- Applying advanced algorithms to enhance the performance of AI models
- Building and deploying software systems that leverage AI and machine learning technologies
- Analyzing complex data sets to identify patterns and trends that inform business strategies
- Supporting client engagements by delivering quality work and adapting to diverse project requirements
- Engaging in continuous learning to deepen technical skills and knowledge in AI engineering
- Upholding professional and technical standards while contributing to team success
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning techniques
- Excelling in client support within fast-paced environments
- Adapting quickly to diverse client needs and project scopes
- Building a personal brand through consistent quality work
- Utilizing analytical skills to discern patterns and insights

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $63,000 - $141,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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