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Snowflake Entry Level Jobs (NOW HIRING)

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Cloud Services Administrator 1

Omaha, NE · On-site

Azure, AWS, GCP, or OCI. Entry-level cloud certification such as Azure Fundamentals, AWS Cloud ... Exposure to SaaS administration or support for platforms such as Snowflake or similar enterprise ...

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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.
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What cities are hiring for Snowflake Entry Level jobs? Cities with the most Snowflake Entry Level job openings:
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Snowflake Entry Level jobs near you
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.
Early Career Associate - Thousand Oaks, CA

Early Career Associate - Thousand Oaks, CA

Axtria, Inc.

Thousand Oaks, CA • On-site

Full-time

Posted 3 days ago

New

Job description

Decision Intelligence Associate
  • Do you want to impact communities and transform patients' lives around the globe?
  • Are you looking for a consulting opportunity where you can apply analytics, predictive modeling, and AI/ML to solve real business challenges?
  • Do you enjoy solving complex problems and turning data into meaningful insights?
  • Is working in a collaborative culture with some of the brightest minds in the data analytics industry a goal?
If you answer yes to any of these questions, read on and learn about Axtria's Full Time Opportunities
Why Axtria?
Axtria is an emerging force in the data analytics industry with corporate headquarters in Berkeley Heights, NJ. We work exclusively with companies in the Life Science industry, helping our clients solve some of their most complex problems. We blend information, analytics, AI, and technology to help organizations gain a competitive edge to improve patient outcomes and drive business growth.
About the Role
This is an entry-level position within our Decision Intelligence (DI) team, based out of our Thousand Oaks office. As a Decision Intelligence Associate, you'll receive hands-on mentorship from senior team members while building analytics and AI skills, supporting client deliverables, and learning how our Life Science Industry clients turn data into decisions. Prior professional experience is helpful but not required; we are looking for individuals with strong analytical foundations, intellectual curiosity, and a passion for continuous learning. Must be available to work on-site 4 days a week.
Potential Responsibilities may include (but not limited to):
  • Support data analyses using SQL and Python - Databricks exposure is a plus - to help clients improve patient health outcomes
  • Assist in building and testing AI/ML, GenAI, and emerging Agentic AI solutions under the guidance of senior team members, including exposure to LLM-based tools and workflows.
  • Help develop and validate statistical models using foundational techniques such as regression and clustering
  • Help build Tableau/Power BI dashboards to communicate insights to client stakeholders
  • Collaborate with offshore teams in India on light coordination tasks (tracking, scheduling) with senior guidance
  • Stay current on emerging trends in AI and data science, and identify opportunities to apply them in client work.
About You
  • Education: A Bachelors (Masters are desirable) in Data Science, Computer Science, Business Analytics, Economics, Math, Statistics, or Engineering
  • Technical Skills: Foundational SQL and Python usage; exposure to Snowflake, Databricks, R, or Excel is a plus
  • AI Fluency: Experience using GenAI and AI-powered tools to support analytics, problem solving, and decision-making. Familiarity with LLMs, prompt engineering, and emerging Agentic AI concepts is a plus.
  • Industry Interest: Interest in the Life Sciences industry and how data, analytics, and AI enable commercial decision-making; prior exposure is a plus, not required.
  • Communication: Good verbal/written communication skills and openness to building client-facing presence
  • Collaboration: Team player with the ability to collaborate effectively across global teams and diverse stakeholders.
  • Mindset: Curious, coachable, and eager to grow in a fast-paced, client-facing environment
  • Eligibility: Must have US work authorization without need of visa sponsorship now or in the future
Life @ Axtria
Axtrians are passionate and thrive in a culture of collaboration and learning. We realize that AI and data expertise are in high demand, and our work has an enormous impact in the Life Science industry and on society. We don't take this lightly, thus constantly challenge ourselves to improve, innovate, and empower others through responsible AI practices. We highly encourage transparency in our nimble organization where we communicate freely without any hierarchical boundaries to share a wealth of knowledge and exciting AI innovations.

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