Snowflake Data Engineer

Veriipro; Boston (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

Veriipro seeks an experienced Snowflake Data Engineer to design, develop, and optimize scalable data pipelines using Snowflake, Python, SQL, and Snowpark. The role emphasizes ELT pipelines, data warehousing, and enterprise cloud architectures.

The ideal candidate will have strong data engineering background, data modeling skills including Dimensional and Data Vault, and solid problem-solving abilities.

Qualifications

• 7+ years of experience in Data Engineering.
• 4+ years of hands-on Snowflake experience.
• Strong expertise in Python, SQL, Snowpark, and ELT pipeline development.
• Experience with Data Warehousing and Data Modeling, including Dimensional and Data Vault methodologies.
• Strong understanding of enterprise cloud data architectures.
• Excellent analytical and problem-solving skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake, Python, SQL, and Snowpark.
• Develop and optimize ELT pipelines for enterprise data environments.
• Design and implement data warehouse solutions and data models.
• Work with Dimensional and Data Vault modeling methodologies.
• Support enterprise cloud data architecture and data integration initiatives.
• Optimize data pipelines and Snowflake workloads for performance and scalability.
• Collaborate with data, engineering, and business teams to deliver reliable data solutions.

Skills

Snowflake

Python

SQL

Snowpark

ELT pipelines

Data warehousing

Data modeling

Dimensional modeling

Data Vault

Cloud data architecture

Analytical skills

Tools

Snowflake

Python

SQL

Snowpark

ELT tools

Job description

We are seeking an experienced Snowflake Data Engineer with strong expertise in Snowflake, Python, SQL, Snowpark, and ELT pipeline development. The ideal candidate will have a strong background in data engineering, data warehousing, data modeling, and enterprise cloud data architectures.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake, Python, SQL, and Snowpark.
• Develop and optimize ELT pipelines for enterprise data environments.
• Design and implement data warehouse solutions and data models.
• Work with Dimensional and Data Vault modeling methodologies.
• Support enterprise cloud data architecture and data integration initiatives.
• Optimize data pipelines and Snowflake workloads for performance and scalability.
• Collaborate with data, engineering, and business teams to deliver reliable data solutions.

Qualifications

• 7+ years of experience in Data Engineering.
• 4+ years of hands-on Snowflake experience.
• Strong expertise in Python, SQL, Snowpark, and ELT pipeline development.
• Experience with Data Warehousing and Data Modeling, including Dimensional and Data Vault methodologies.
• Strong understanding of enterprise cloud data architectures.
• Excellent analytical and problem-solving skills.