

Maven Companies Inc.
Snowflake Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Data Engineer with a contract length of "X months" at a pay rate of "$X/hour." It requires expertise in Snowflake, SQL, Power BI, and Azure, along with experience in data modeling, validation, and troubleshooting.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#Agile #R #Snowflake #Data Engineering #Data Quality #Data Analysis #"ETL (Extract #Transform #Load)" #Cloud #Azure #Data Pipeline #Data Modeling #Microsoft Power BI #BI (Business Intelligence) #ADF (Azure Data Factory) #SQL Queries #Data Ingestion #SQL (Structured Query Language)
Role description
• Design, build, and maintain Snowflake data models and views
• Validate and optimize Snowflake views for performance and accuracy
• Develop SQL queries to support analytics, reporting, and data validation
• Support ingestion and transformation logic across data pipelines
• Partner with QA and data engineering teams to validate outputs across systems
• Troubleshoot data discrepancies across upstream and downstream systems
• Support release cycles and ensure data readiness for production
Deliverable
• sDevelopment and validation of Snowflake views and data model
• sAccurate and optimized SQL queries supporting reporting and analytic
• sValidation of data pipelines and transformations across system
• sSupport for reporting outputs and downstream data consumer
• sResolution of data quality issues and discrepancie
s
Technical Requiremen
• tsSnowflake (data modeling, view creation, optimizatio
• n)SQL (advanced querying, joins, aggregations, performance tunin
• g)Power BI (data validation, report validation, dataset suppor
• t)Azure (ADF / Data Factor
• y)Kaf
• kaSalesforce Service Cloud (SFS
• C)Data pipeline validation / ETL workflo
• wsUnderstanding of data ingestion, transformation, and reporting laye
rs
Qualificati
• onsExperience as a Data Analyst, Data Engineer, or similar r
• oleStrong experience with Snowflake and SQL-based data developm
• entExperience validating and troubleshooting data pipelines and reporting outp
• utsExperience supporting BI/reporting tools (Power BI preferr
• ed)Experience working in agile delivery environme
• ntsStrong attention to detail and ability to work across multiple data syst
ems
• Design, build, and maintain Snowflake data models and views
• Validate and optimize Snowflake views for performance and accuracy
• Develop SQL queries to support analytics, reporting, and data validation
• Support ingestion and transformation logic across data pipelines
• Partner with QA and data engineering teams to validate outputs across systems
• Troubleshoot data discrepancies across upstream and downstream systems
• Support release cycles and ensure data readiness for production
Deliverable
• sDevelopment and validation of Snowflake views and data model
• sAccurate and optimized SQL queries supporting reporting and analytic
• sValidation of data pipelines and transformations across system
• sSupport for reporting outputs and downstream data consumer
• sResolution of data quality issues and discrepancie
s
Technical Requiremen
• tsSnowflake (data modeling, view creation, optimizatio
• n)SQL (advanced querying, joins, aggregations, performance tunin
• g)Power BI (data validation, report validation, dataset suppor
• t)Azure (ADF / Data Factor
• y)Kaf
• kaSalesforce Service Cloud (SFS
• C)Data pipeline validation / ETL workflo
• wsUnderstanding of data ingestion, transformation, and reporting laye
rs
Qualificati
• onsExperience as a Data Analyst, Data Engineer, or similar r
• oleStrong experience with Snowflake and SQL-based data developm
• entExperience validating and troubleshooting data pipelines and reporting outp
• utsExperience supporting BI/reporting tools (Power BI preferr
• ed)Experience working in agile delivery environme
• ntsStrong attention to detail and ability to work across multiple data syst
ems






