CONFLUX SYSTEMS
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Charlotte, NC, onsite, with a W2 contract. It requires advanced proficiency in Python, SQL, Snowflake, and PySpark, along with experience in financial systems and data modeling. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date
June 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Data Engineering #SQL Server #Azure Databricks #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Data Pipeline #Data Modeling #Data Integration #Python #Snowflake #Azure #Compliance #UAT (User Acceptance Testing) #Data Quality #SQL (Structured Query Language) #Scala #Automation #Business Analysis #Databases #Databricks #PySpark #Spark SQL
Role description
Role/title: Data Engineer
Location: Charlotte, NC - Onsite
Only W2.
Key Responsibilities:
• Collaborate with business stakeholders to gather technical specifications and translate business requirements into technical solutions.
• Develop and optimize data models and schemas for efficient data integration and analysis.
• Lead application development involving Python, Pyspark, SQL, Snowflake, and Databricks platforms.
• Implement data validation procedures to maintain high data quality standards.
• Conduct comprehensive testing (UT, SIT, UAT) alongside business and testing teams.
• Provide ongoing support, troubleshooting, and maintenance in production environments.
• Contribute to architecture and design discussions to ensure scalable, maintainable data solutions.
Core Competencies:
• Advanced proficiency in Python, SQL Server, Snowflake, Azure Databricks, and PySpark.
• Strong understanding of relational databases, ETL processes, and data modeling.
• Expertise in system design, architecture, and implementing robust data pipelines.
• Hands-on experience with data validation, quality checks, and automation tools (Autosys, Control-M).
• Effective communicator with the ability to collaborate with business analysts, users, and global teams.
• Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).
Role/title: Data Engineer
Location: Charlotte, NC - Onsite
Only W2.
Key Responsibilities:
• Collaborate with business stakeholders to gather technical specifications and translate business requirements into technical solutions.
• Develop and optimize data models and schemas for efficient data integration and analysis.
• Lead application development involving Python, Pyspark, SQL, Snowflake, and Databricks platforms.
• Implement data validation procedures to maintain high data quality standards.
• Conduct comprehensive testing (UT, SIT, UAT) alongside business and testing teams.
• Provide ongoing support, troubleshooting, and maintenance in production environments.
• Contribute to architecture and design discussions to ensure scalable, maintainable data solutions.
Core Competencies:
• Advanced proficiency in Python, SQL Server, Snowflake, Azure Databricks, and PySpark.
• Strong understanding of relational databases, ETL processes, and data modeling.
• Expertise in system design, architecture, and implementing robust data pipelines.
• Hands-on experience with data validation, quality checks, and automation tools (Autosys, Control-M).
• Effective communicator with the ability to collaborate with business analysts, users, and global teams.
• Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).
