Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown", offering a pay rate of "unknown". Key skills include Snowflake, Microsoft Power BI, SQL, ETL/ELT workflows, and cloud platforms. Experience in data governance and compliance is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
440
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🗓️ - Date discovered
September 11, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
St Louis, MO
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🧠 - Skills detailed
#Data Modeling #Python #Cloud #Consulting #Snowflake #Data Engineering #BI (Business Intelligence) #Data Governance #"ETL (Extract #Transform #Load)" #Microsoft Power BI #Azure #DAX #Security #Talend #dbt (data build tool) #SQL (Structured Query Language) #Informatica #Scripting #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Compliance
Role description
Required Qualifications
• Strong experience with Snowflake (data modeling, query optimization, warehouse management).
• Proven expertise in Microsoft Power BI (report building, DAX, data modeling).
• Proficiency in SQL and data transformation techniques.
• Experience with ETL/ELT workflows and tools (e.g., dbt, Informatica, Talend, or similar).
• Solid understanding of data governance, security, and compliance principles.
• Ability to work independently and deliver results in a fast-paced environment.
• Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications
• Experience with cloud platforms (e.g., Azure, AWS, or GCP).
• Familiarity with Python or other scripting languages for data engineering.
• Knowledge of APIs and integration methods.
• Prior experience in a contract or consulting role.
Required Qualifications
• Strong experience with Snowflake (data modeling, query optimization, warehouse management).
• Proven expertise in Microsoft Power BI (report building, DAX, data modeling).
• Proficiency in SQL and data transformation techniques.
• Experience with ETL/ELT workflows and tools (e.g., dbt, Informatica, Talend, or similar).
• Solid understanding of data governance, security, and compliance principles.
• Ability to work independently and deliver results in a fast-paced environment.
• Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications
• Experience with cloud platforms (e.g., Azure, AWS, or GCP).
• Familiarity with Python or other scripting languages for data engineering.
• Knowledge of APIs and integration methods.
• Prior experience in a contract or consulting role.
