SMARTFOX
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 10+ years of experience in data engineering, ETL/ELT, and cloud technologies, preferably in Banking/Financial Services. It offers a 12-month hybrid contract in Charlotte, NC, with a focus on SQL, Python/Java, and data pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
August 6, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Kafka (Apache Kafka) #Data Pipeline #Azure #SQL (Structured Query Language) #Java #"ETL (Extract #Transform #Load)" #Python #Databricks #Snowflake #AWS Glue #Airflow #Data Engineering #ADF (Azure Data Factory) #Security #Azure Data Factory #Data Modeling #AWS (Amazon Web Services) #Informatica #Data Quality #GCP (Google Cloud Platform) #Spark (Apache Spark) #Cloud
Role description
Job Title: Data Engineer
Location: Hybrid at Charlotte, NC (3 Days onsite and 2 Days remote)
Duration: 12 Months+
We are looking for a Senior Data Engineer with 10+ years of experience in data engineering, ETL/ELT, data warehousing, and cloud technologies, preferably within the Banking/Financial Services industry.
Key Skills:
• 10+ years of Data Engineering experience
• Strong SQL and Python/Java skills
• ETL/ELT, Data Warehousing & Data Modeling
• AWS / Azure / GCP
• Snowflake, Databricks, Spark, Kafka
• Informatica, Airflow, Azure Data Factory, or AWS Glue
• Experience with large-scale data pipelines and cloud data platforms
• Strong understanding of data quality, governance, security, and regulatory requirements
• Banking/Financial Services domain experience preferred
Job Title: Data Engineer
Location: Hybrid at Charlotte, NC (3 Days onsite and 2 Days remote)
Duration: 12 Months+
We are looking for a Senior Data Engineer with 10+ years of experience in data engineering, ETL/ELT, data warehousing, and cloud technologies, preferably within the Banking/Financial Services industry.
Key Skills:
• 10+ years of Data Engineering experience
• Strong SQL and Python/Java skills
• ETL/ELT, Data Warehousing & Data Modeling
• AWS / Azure / GCP
• Snowflake, Databricks, Spark, Kafka
• Informatica, Airflow, Azure Data Factory, or AWS Glue
• Experience with large-scale data pipelines and cloud data platforms
• Strong understanding of data quality, governance, security, and regulatory requirements
• Banking/Financial Services domain experience preferred
