Data Engineer with GENAI
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with GENAI in Charlotte, NC, offering a contract position. Key skills include Spark, ETL, Snowflake, and Generative AI. Experience with Python and limited knowledge of data pipelines and cloud data warehouses is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 3, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Redshift #Airflow #Data Management #Indexing #Metadata #Python #Data Lineage #dbt (data build tool) #AI (Artificial Intelligence) #Data Warehouse #Spark (Apache Spark) #Snowflake #Migration #Cloud #Data Engineering #Data Pipeline #"ETL (Extract #Transform #Load)"
Role description
Role: Data Engineer with AI Engineer
Location: Charlotte, NC (Onsite)
Skills: Spark, ETL, Data Engineer, Snowflakes, Gen AI
Job Description:
· Limited experience with query optimization, indexing, and performance profiling. No background in database scaling, migration, or high availability
· Little to no hands-on experience with ETL/ELT tools like Spark, Airflow, or dbt or maintaining large-scale ETL systems
· No experience designing end-to-end or real-time data pipelines, event-driven processing,
· Limited experience with cloud data warehouses like Snowflake, Big Query, or Redshift
· Minimal focus on data lineage, metadata management, complex data transformation and optimization techniques
· Should have experience in python
· Hands-on working experience with Generative AI patterns and frameworks , LLM
· Sound knowledge of RAG
Role: Data Engineer with AI Engineer
Location: Charlotte, NC (Onsite)
Skills: Spark, ETL, Data Engineer, Snowflakes, Gen AI
Job Description:
· Limited experience with query optimization, indexing, and performance profiling. No background in database scaling, migration, or high availability
· Little to no hands-on experience with ETL/ELT tools like Spark, Airflow, or dbt or maintaining large-scale ETL systems
· No experience designing end-to-end or real-time data pipelines, event-driven processing,
· Limited experience with cloud data warehouses like Snowflake, Big Query, or Redshift
· Minimal focus on data lineage, metadata management, complex data transformation and optimization techniques
· Should have experience in python
· Hands-on working experience with Generative AI patterns and frameworks , LLM
· Sound knowledge of RAG
