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Snowflake Entry Level Jobs in New York (NOW HIRING)

Pwc

Data Validation Risk - Senior Associate

New York, NY · On-site

$77K - $202K/yr

... Snowflake - Engaging in continuous learning to adapt to emerging data technologies and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Thinkbrg

Fall 2027 Advisory Associate

New York, NY · On-site

We Do Consulting Differently The Associate position is a full-time entry level consulting staff ... Stata, SAS, Tableau, Snowflake, Alteryx, Databricks, or Teradata is highly desirable. The ...

IBM

Business Transformation Consultant Intern 2027

Bronx, NY · On-site

$16.50 - $20.50/hr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... AWS, Azure, Snowflake, Databricks, etc.) and AI. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

IBM

Data Engineer Intern 2027

New York, NY · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

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Snowflake Entry Level information

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?

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.

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.

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.

What are the most commonly searched types of Snowflake jobs in New York?

The most popular types of Snowflake jobs in New York are:

What are popular job titles related to Snowflake Entry Level jobs in New York?

For Snowflake Entry Level jobs in New York, the most frequently searched job titles are:

What job categories do people searching Snowflake Entry Level jobs in New York look for?

The top searched job categories for Snowflake Entry Level jobs in New York are:

Snowflake Entry Level jobs near you
Infographic showing various Snowflake Entry Level job openings in New York as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution.

Data Engineer II - (Remote)

Fanatics Betting & Gaming

New York, NY • On-site

$125K - $150K/yr

Full-time

Re-posted 2 days ago

Job description

About the Team

We're looking for a Data Engineer II to join our Data Engineering team, which builds and governs the data foundation that powers the business. You'll work within our stack - Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks - helping move data reliably and securely from source to decision-ready output.

This is an entry-level role. You'll execute well-defined tasks under the direction of senior data engineers, learn our team's stack and conventions, and build a strong foundation in pipeline correctness. You're not expected to own designs independently yet - you're expected to build reliable software against a design, ask good questions, and grow quickly from feedback.

Responsibilities
  • Implement ingestion pipelines and Airflow DAGs from a senior engineer's design, using the team's scaffolding and conventions - including writing the code, unit tests, and documentation
  • Support data security and governance work, such as PII masking and access controls, following established patterns
  • Contribute to data delivery work, including reverse ETL integrations, under guidance from senior engineers
  • Add and extend fields in existing pipelines, incorporating review feedback and applying learned patterns on future work
  • Take oncall pages for pipeline failures, work through runbooks, and escalate with clear context when needed
  • Pair with senior engineers on data integrity issues you can't yet diagnose alone
  • Write clear, reviewer-friendly PR descriptions and ask clarifying questions before starting new work
  • Flag blockers early and with context rather than going quiet when stuck
  • Build strong working relationships with internal stakeholders (BI analysts, other data engineers, data scientists) and help gather and clarify requirements
  • Conduct and participate in code and system inspections
  • Help the team define and adhere to data engineering best practices
  • Mentor more junior data engineers as you grow into the role
Experience and Skills
  • 1-3 years of professional software or data engineering experience
  • A self-learner with a strong ability to gather, evaluate, and analyze requirements
  • Solid foundation in Python and deep understanding of SQL and ETL/ELT for complex data transformations
  • Comfort reading and writing unit tests, and working within an established codebase and conventions
  • Familiarity with (or eagerness to quickly learn) workflow orchestration tools like Airflow (Managed Workflows for Apache Airflow)
  • Basic understanding of data pipeline concepts: ingestion, idempotency, scheduling, and data quality
  • Knowledge of several of the following technologies: Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, PostgreSQL
  • Familiarity with Git-based version control and PR-based code review workflows
  • Strong communication skills - asks clarifying questions, writes clear PR descriptions, and escalates blockers with useful context rather than staying stuck silently
  • A growth mindset: takes review feedback well, improves processes, and champions best practices to avoid technical debt
Preferred But Not Required
  • Exposure to cloud data warehouses/lakehouses (Snowflake, Databricks, AWS) and data catalog/lineage tooling
  • Familiarity with dbt, Tableau, MongoDB, or PostgreSQL
  • Familiarity with reverse ETL tools or patterns (e.g., Segment, LaunchDarkly, Kafka, S3-based delivery)
  • Exposure to PII masking, data security, or RBAC/access governance concepts
  • Exposure to observability/monitoring tooling (e.g., Datadog) for pipeline health and alerting
  • Background in gaming, betting, e-commerce, or another regulated/high-compliance industry
  • Familiarity with responsible handling of customer/PII-sensitive data
Why Join Us
  • Join a team that's literally described as "the foundation" - everything at FBG, FES, and FMX runs on the data we ingest, govern, and deliver
  • Learn from senior and staff data engineers on a well-invested, modern data platform, with a clear growth path from DE2 into independent ownership
  • Work on high-visibility, high-trust systems: regulatory and financial reporting, PII security, and data governance that the business depends on
  • A culture built around clear tenets: standardize before you scale, own the outcome (not just the ticket), and clarity over complexity
  • Collaborative culture with strong engineering practices, code review, and mentorship

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.

For information about our benefits, please visit https://benefitsatfanatics.com/

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