

Saransh Inc
Sr. Snowflake Developer - ONLY W2
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Snowflake Developer with strong DBT experience, requiring 7+ years in data engineering, SQL, and 2+ years in DBT and Snowflake. Located in Jersey City, NJ/Lake Mary, FL/Pittsburgh, PA, it’s a long-term, W2 position.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
October 29, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Lake Mary, FL
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🧠 - Skills detailed
#Data Pipeline #Monitoring #SQL (Structured Query Language) #Public Cloud #Data Engineering #Pandas #Data Management #Data Lineage #Cloud #Data Analysis #Containers #Snowflake #dbt (data build tool) #Azure #Python #DevOps #Scala #BI (Business Intelligence) #Observability #"ETL (Extract #Transform #Load)" #Airflow #Metadata #Macros
Role description
Job Title: Sr. Snowflake Developer w/d Strong DBT Experience
Location: Jersey City, NJ/ Lake Mary, FL, Pittsburgh, PA – 4 Days onsite role
Long Term Project
ONLY W2
Mandatory Skills: Data Engineer - DBT + Snowflake + Airflow+ SQL+ SnowPro Core Certification.
Job Description
• Design and develop scalable data pipelines using modern data stack technologies for Cloud data platform.
• Write ETL processes, design data applications and develop data pipelines for Operational Business Intelligence Mart
• Role involves analyzing technical metadata, Data Pipeline logs and data lineage for data platform, and providing insights to support data platform operational decisions.
• Collaborate with cross-functional teams to understand and Elucidate Observability requirements for the data platform considering SLA, operational needs, DQ and proactive monitoring.
• Work with other engineers on the team to elevate technology and consistently apply best practices.
DBT Experience Is a Must Require
• DBT macros and overwriting
• DBT Custom Schemas
• DBT Materialization details
• Snowflake Cluster Keys
• Snowflake SQL functions
Required Skill And Experience
• A minimum of 7+ years of IT experience in data engineering or data management field
• 4 - 5 years of experience in application development using SQL, PLSQL
• Strong working knowledge and min of 2 years’ experience in DBT, Snowflake
• Hands-on experience with Airflow is highly recommended
• Strong working experience with Python, python pandas.
• Recent experience as a Senior Data Engineer in any public cloud, preferably on Azure as well as on a cloud warehouse like Snowflake is required
• 2+ years of experience in building data pipelines using various ETL and ELT tools
• Experience in building cloud native solutions, preferably on Azure including the use of DevOps CI / CD tools and containers.
• Proven experience as a Data Analyst or in a similar role.
• Strong proficiency in Data Modelling, process metadata, observability, and monitoring data platforms.
• Familiarity with data modelling tools / techniques is a plus
• Azure or Snowflake training / certification is a plus
• Strong analytical, problem solving, communication, collaborative and organizational skills
• Self-driven, self-directed, passionate analytical and focused on delivering the right results
Job Title: Sr. Snowflake Developer w/d Strong DBT Experience
Location: Jersey City, NJ/ Lake Mary, FL, Pittsburgh, PA – 4 Days onsite role
Long Term Project
ONLY W2
Mandatory Skills: Data Engineer - DBT + Snowflake + Airflow+ SQL+ SnowPro Core Certification.
Job Description
• Design and develop scalable data pipelines using modern data stack technologies for Cloud data platform.
• Write ETL processes, design data applications and develop data pipelines for Operational Business Intelligence Mart
• Role involves analyzing technical metadata, Data Pipeline logs and data lineage for data platform, and providing insights to support data platform operational decisions.
• Collaborate with cross-functional teams to understand and Elucidate Observability requirements for the data platform considering SLA, operational needs, DQ and proactive monitoring.
• Work with other engineers on the team to elevate technology and consistently apply best practices.
DBT Experience Is a Must Require
• DBT macros and overwriting
• DBT Custom Schemas
• DBT Materialization details
• Snowflake Cluster Keys
• Snowflake SQL functions
Required Skill And Experience
• A minimum of 7+ years of IT experience in data engineering or data management field
• 4 - 5 years of experience in application development using SQL, PLSQL
• Strong working knowledge and min of 2 years’ experience in DBT, Snowflake
• Hands-on experience with Airflow is highly recommended
• Strong working experience with Python, python pandas.
• Recent experience as a Senior Data Engineer in any public cloud, preferably on Azure as well as on a cloud warehouse like Snowflake is required
• 2+ years of experience in building data pipelines using various ETL and ELT tools
• Experience in building cloud native solutions, preferably on Azure including the use of DevOps CI / CD tools and containers.
• Proven experience as a Data Analyst or in a similar role.
• Strong proficiency in Data Modelling, process metadata, observability, and monitoring data platforms.
• Familiarity with data modelling tools / techniques is a plus
• Azure or Snowflake training / certification is a plus
• Strong analytical, problem solving, communication, collaborative and organizational skills
• Self-driven, self-directed, passionate analytical and focused on delivering the right results






