Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown" and a pay rate of "unknown." The position is hybrid, requiring monthly onsite meetings. Key skills include Snowflake, SQL, Azure Data Factory, and experience with BI tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 21, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Orlando, FL
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🧠 - Skills detailed
#Complex Queries #Snowflake #Microsoft Power BI #Azure #ADF (Azure Data Factory) #Data Engineering #"ETL (Extract #Transform #Load)" #Informatica #Scala #Tableau #Data Analysis #BI (Business Intelligence) #Azure Data Factory #Data Quality #SQL (Structured Query Language) #OBIEE (Oracle Business Intelligence Enterprise Edition) #Oracle
Role description
Job Description: Senior Data Engineer
Position: Senior Data Engineer
Location: Hybrid – Monthly Onsite (1st Wednesday of each month)
About the Role
We are seeking a seasoned Senior Data Engineer with expertise in Snowflake, SQL, and Azure Data Factory (ADF) to support enterprise data warehousing and reporting initiatives. The role involves designing scalable ETL pipelines, optimizing data models, and collaborating with stakeholders to ensure business intelligence needs are met.
The engineer will also work closely with Sigma (a reporting tool integrated with Snowflake). Prior Sigma experience is not required but experience with other reporting tools (OBIEE, Power BI, Tableau, etc.) is highly desirable.
Key Responsibilities
• Design, build, and maintain scalable ETL pipelines using ADF and related tools.
• Collaborate with architects, data analysts, and business teams to deliver reporting solutions.
• Optimize Snowflake data models and queries for performance and scalability.
• Support data warehousing initiatives and ensure data quality.
• Participate in monthly onsite meetings (1st Wednesday of each month).
Required Skills
• Strong SQL expertise with complex queries and performance tuning.
• Hands-on experience with Snowflake (preferred) or ability to learn quickly.
• Proficiency in Azure Data Factory (ADF); Informatica or Oracle Warehouse Builder experience also acceptable.
• Experience with at least one reporting/BI tool (OBIEE, Power BI, Tableau, etc.).
• Strong foundation in data warehousing concepts, design, and implementation.
• Excellent problem-solving, communication, and collaboration skills.
Job Description: Senior Data Engineer
Position: Senior Data Engineer
Location: Hybrid – Monthly Onsite (1st Wednesday of each month)
About the Role
We are seeking a seasoned Senior Data Engineer with expertise in Snowflake, SQL, and Azure Data Factory (ADF) to support enterprise data warehousing and reporting initiatives. The role involves designing scalable ETL pipelines, optimizing data models, and collaborating with stakeholders to ensure business intelligence needs are met.
The engineer will also work closely with Sigma (a reporting tool integrated with Snowflake). Prior Sigma experience is not required but experience with other reporting tools (OBIEE, Power BI, Tableau, etc.) is highly desirable.
Key Responsibilities
• Design, build, and maintain scalable ETL pipelines using ADF and related tools.
• Collaborate with architects, data analysts, and business teams to deliver reporting solutions.
• Optimize Snowflake data models and queries for performance and scalability.
• Support data warehousing initiatives and ensure data quality.
• Participate in monthly onsite meetings (1st Wednesday of each month).
Required Skills
• Strong SQL expertise with complex queries and performance tuning.
• Hands-on experience with Snowflake (preferred) or ability to learn quickly.
• Proficiency in Azure Data Factory (ADF); Informatica or Oracle Warehouse Builder experience also acceptable.
• Experience with at least one reporting/BI tool (OBIEE, Power BI, Tableau, etc.).
• Strong foundation in data warehousing concepts, design, and implementation.
• Excellent problem-solving, communication, and collaboration skills.
