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Snowflake Entry Level Jobs in California (NOW HIRING)

Snowflake Entry Level information

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.
What are the most commonly searched types of Snowflake jobs in California? The most popular types of Snowflake jobs in California are:
What are popular job titles related to Snowflake Entry Level jobs in California? For Snowflake Entry Level jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for Snowflake Entry Level jobs? Cities in California with the most Snowflake Entry Level job openings:
Infographic showing various Snowflake Entry Level job openings in California as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Data Engineer (SQL) - Costa Rica

Data Engineer (SQL) - Costa Rica

ActiveProspect, Inc.

San Jose, CA • On-site

$134K - $161K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Data Engineer

Company Overview

ActiveProspect is on a mission to make consent-based marketing the best channel for online customer acquisition. We provide marketers the products they need to acquire qualified customers at scale. Our platform is trusted by thousands of companies engaged in direct-to-consumer marketing, helping them save wasted spend, comply with ever-changing regulations, and manage a constantly evolving partner landscape. Our flagship product, TrustedForm, is used to certify over 1 billion opt-in digital customer leads every year and is the gold standard for documenting prior express written consent for TCPA compliance.

Job Summary

The Data Engineer is an individual-contributor role that designs, builds, and maintains scalable data pipelines and analytical data models. The role works hands-on with our modern data stack — SQL, Snowflake, dbt, Fivetran, Kafka, and Python — to build reliable, efficient data solutions. This is an entry-level role that grows toward full ownership of the data engineering workload over time.

Responsibilities:

Build, transform, and process datasets to keep data accurate, reliable, and available for analytics and business decisions. Maintain high-quality data infrastructure supporting reporting, analytics, and operational insights, including pipeline ingestion (Fivetran, Kafka), transformation and modeling (dbt, Snowflake), and Level 1 support for pipeline failures, monitoring, and data quality.

Qualifications and Skills

  • Strong SQL skills
  • Python for data pipelines and automation
  • Snowflake
  • dbt
  • Fivetran
  • Kafka
  • Data modeling
  • ETL/ELT pipeline development
  • Data quality and governance
  • Monitoring and performance optimization

Reports to:

  • Data Architect

Organizational Impact

This role adds capacity to the data engineering function and reduces key-person risk by developing an engineer who can independently own the data engineering workload — ingestion, streaming, transformation, and data quality. As that ownership grows, it frees senior capacity to focus on higher-leverage architecture and modeling work.

Reliable, well-governed data is the foundation for ActiveProspect\'s reporting and decision-making. By keeping pipelines healthy and data trustworthy in Snowflake, this role directly supports the analytics and business teams that depend on accurate, timely data. Success looks like dependable data delivery, strong data quality, and faster resolution of issues through proactive monitoring and Level 1 support.