TriCom Technical Services
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 Data Pipeline, Data Engineering, Cloud, SQL, SQL Server, ETL, and Data Integration. Industry experience in financial reporting is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date
February 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Kansas City Metropolitan Area
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🧠 - Skills detailed
#Documentation #Cloud #Data Pipeline #Data Integration #SQL Server #"ETL (Extract #Transform #Load)" #Data Engineering #SQL (Structured Query Language)
Role description
Data Engineer
Summary
The Data Engineer will support enterprise financial reporting platforms during a Cloud modernization initiative. The position focuses on building and maintaining reliable data pipelines, optimizing SQL Server environments, and ensuring high-quality data delivery for reporting and analytics teams.
Responsibilities
• Design, develop, and test data solutions based on business requirements.
• Analyze data sourcing needs and define transformation and mapping logic.
• Build and support ETL and ELT pipelines for enterprise data integration.
• Configure and maintain data integration frameworks used by internal teams.
• Create and maintain technical documentation aligned with SDLC standards.
• Monitor, troubleshoot, and resolve data pipeline and database issues.
• Support operational activities including incidents, service requests, and planned maintenance.
• Follow formal change management processes for data and system updates.
• Identify and implement technical and process improvements.
Data Engineer
Summary
The Data Engineer will support enterprise financial reporting platforms during a Cloud modernization initiative. The position focuses on building and maintaining reliable data pipelines, optimizing SQL Server environments, and ensuring high-quality data delivery for reporting and analytics teams.
Responsibilities
• Design, develop, and test data solutions based on business requirements.
• Analyze data sourcing needs and define transformation and mapping logic.
• Build and support ETL and ELT pipelines for enterprise data integration.
• Configure and maintain data integration frameworks used by internal teams.
• Create and maintain technical documentation aligned with SDLC standards.
• Monitor, troubleshoot, and resolve data pipeline and database issues.
• Support operational activities including incidents, service requests, and planned maintenance.
• Follow formal change management processes for data and system updates.
• Identify and implement technical and process improvements.
