Data Engineer – Snowflake

SRS Consulting Inc; San Jose (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

SRS Consulting Inc is seeking a highly skilled Data Engineer with deep Snowflake expertise to design, build, and optimize modern cloud-based data platforms. The role emphasizes scalable data pipelines, AI/ML-powered data solutions, and analytics enablement for business insights.

You will design and optimize Snowflake-based solutions, collaborate with data scientists and analysts, and ensure data quality, governance, and security across the platform.

Qualifications

• 5+ years of experience in Data Engineering and Data Warehousing.
• Strong hands-on experience with Snowflake, including Snowpark, Streams, Tasks, Dynamic Tables, and performance optimization.
• Proficiency in SQL, Python, and data transformation frameworks.
• Experience building and maintaining ETL/ELT pipelines.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with data modeling, data governance, data quality, and security best practices.
• Familiarity with orchestration tools such as Airflow, ADF, or similar.

Responsibilities

• Design, develop, and maintain scalable data pipelines and Snowflake-based data solutions.
• Optimize Snowflake performance, storage, and query execution.
• Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions.
• Develop and maintain data models, data marts, and reporting datasets.
• Ensure data quality, reliability, security, and compliance across the data platform.
• Support real-time and batch data integration requirements.

Skills

Snowflake

SQL

Python

Data Warehousing

ETL/ELT pipelines

Data modeling

Data governance

Security best practices

Airflow

Education

Bachelor's degree in Computer Science or related field

Tools

Snowpark

Streams

Tasks

Dynamic Tables

Performance tuning

Job description

We are seeking a highly skilled Data Engineer with strong expertise in Snowflake and Snowflake to design, build, and optimize modern cloud-based data platforms. The ideal candidate will have hands-on experience developing scalable data pipelines, implementing AI/ML-powered data solutions and supporting analytics and business intelligence initiatives.

Required Skills

• 5+ years of experience in Data Engineering and Data Warehousing.
• Strong hands-on experience with Snowflake, including Snowpark, Streams, Tasks, Dynamic Tables, and performance optimization.
• / Proficiency in SQL, Python, and data transformation frameworks.
• Experience building and maintaining ETL/ELT pipelines.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with data modeling, data governance, data quality, and security best practices.
• Familiarity with orchestration tools such as Airflow, ADF, or similar.

Responsibilities

• Design, develop, and maintain scalable data pipelines and Snowflake-based data solutions.
• Optimize Snowflake performance, storage, and query execution.
• Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions.
• Develop and maintain data models, data marts, and reporting datasets.
• Ensure data quality, reliability, security, and compliance across the data platform.
• Support real-time and batch data integration requirements.