Snowflake Developer

Beeutech

New York (NY)

Hybrid

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Beeutech in New York, NY is seeking an experienced Snowflake Developer to design and optimize cloud-based data warehousing solutions. You will collaborate with data engineers, analysts, and business stakeholders to deliver scalable analytics platforms.

The role requires 7–10 years of experience, strong SQL, and hands-on Snowflake expertise, with hybrid onsite work options. This long-term contract position offers exposure to modern data tooling.

Qualifications

  • 3+ years of experience in data warehousing or data engineering.
  • Hands-on Snowflake experience (SQL, virtual warehouses, stages, streams, tasks).
  • Strong SQL skills and data modeling knowledge.
  • Experience with cloud platforms (AWS, Azure, or GCP).

Responsibilities

  • Design, develop, and maintain Snowflake data warehouse solutions.
  • Build and optimize data models, schemas, and tables for analytics and reporting.
  • Develop and manage ETL/ELT pipelines using Snowflake SQL and cloud-native tools.
  • Optimize query performance, cost, and resource utilization.
  • Implement data security, access controls, masking, and governance policies.
  • Integrate Snowflake with BI tools (Power BI, Tableau, Looker, etc.).
  • Collaborate with cross-functional teams to understand data requirements.
  • Perform data validation, quality checks, and troubleshooting.
  • Support deployments, monitoring, and production issues.
  • Document architecture, processes, and best practices.

Skills

Python
Java
Analytical skills
Communication
Data modeling

Education

Bachelor's degree in CS/IT/DS

Tools

Snowflake
dbt
Informatica
Talend
Matillion
Airflow
Git

Job description

Position: Snowflake Developer

Location: New York, NY [Onsite/Hybrid]

Experience: (7-10) Years

Employment Type: Long Term Contract

Overview

We are seeking a skilled Snowflake Developer to design, develop, and optimize cloud-based data warehousing solutions using Snowflake. The ideal candidate will work closely with data engineers, analysts, and business stakeholders to deliver scalable, secure, and high-performance analytics platforms.

Key Responsibilities
  • Design, develop, and maintain Snowflake data warehouse solutions
  • Build and optimize data models, schemas, and tables for analytics and reporting
  • Develop and manage ETL/ELT pipelines using Snowflake SQL and cloud-native tools
  • Optimize query performance, cost, and resource utilization
  • Implement data security, access controls, masking, and governance policies
  • Integrate Snowflake with BI tools (Power BI, Tableau, Looker, etc.)
  • Collaborate with cross-functional teams to understand data requirements
  • Perform data validation, quality checks, and troubleshooting
  • Support deployments, monitoring, and production issues
  • Document architecture, processes, and best practices
Required Skills & Qualifications
  • 3+ years of experience in data warehousing or data engineering
  • Hands-on experience with Snowflake (SQL, virtual warehouses, stages, streams, tasks)
  • Strong SQL skills (advanced queries, performance tuning)
  • Experience with cloud platforms: AWS, Azure, or GCP
  • Knowledge of ETL/ELT tools (dbt, Informatica, Talend, Matillion, Airflow, etc.)
  • Understanding of data modeling concepts (star/snowflake schemas)
  • Experience with version control systems (Git)
  • Strong problem-solving and analytical skills
Preferred / Nice to Have
  • SnowPro Certification (Core or Advanced)
  • Experience with dbt and modern analytics engineering practices
  • Knowledge of Python or Java for data processing
  • Familiarity with CI/CD pipelines for data platforms
  • Experience in data governance, data quality, and metadata management
Education
  • Bachelor’s degree in computer science, Information Technology, Data Science, or a related field (or equivalent experience)
Soft Skills
  • Strong communication and collaboration skills
  • Ability to work independently and in a team environment
  • Attention to detail and commitment to data quality
  • Adaptability in a fast-paced, cloud-based environment
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