Data Engineer - Remote Work
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position for a contract duration, offering an open hourly rate, focused on developing data ingestion pipelines and modernizing data ecosystems. Key skills include Databricks, Azure, and experience in financial or mortgage industries.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 29, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Scala #Computer Science #Data Integration #Agile #Cloud #Version Control #Data Lake #Data Pipeline #Data Ingestion #API (Application Programming Interface) #Azure #"ETL (Extract #Transform #Load)" #Big Data #Data Engineering #GIT #Databricks
Role description
Job Title: Data Engineer
Location: Remote Work
Type: Contract
Rate: $Open /hr.
The Data Engineer will play a pivotal role in building a modern, scalable data platform to support transformation into a cloud-first, API-first enterprise. This role is responsible for developing secure and reliable data ingestion pipelines, curating data for analytics, and enabling real-time data integration. As the enterprise moves from legacy integrations to event-driven and API-based models, the Data Engineer will actively support modernization of the data ecosystem across the bronze, silver, and gold layers.
Education, Training and Work Experience
• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience)
• 5+ years of hands-on experience building data pipelines and distributed data systems
• Strong experience in Databricks, Data Lake, and Azure-based big data tools
• Experience with financial or regulated data environments preferred
• Familiarity with version control (Git), CI/CD practices, and agile delivery
• Experience in the mortgage servicing or mortgage lending industry is a plus.
Job Title: Data Engineer
Location: Remote Work
Type: Contract
Rate: $Open /hr.
The Data Engineer will play a pivotal role in building a modern, scalable data platform to support transformation into a cloud-first, API-first enterprise. This role is responsible for developing secure and reliable data ingestion pipelines, curating data for analytics, and enabling real-time data integration. As the enterprise moves from legacy integrations to event-driven and API-based models, the Data Engineer will actively support modernization of the data ecosystem across the bronze, silver, and gold layers.
Education, Training and Work Experience
• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience)
• 5+ years of hands-on experience building data pipelines and distributed data systems
• Strong experience in Databricks, Data Lake, and Azure-based big data tools
• Experience with financial or regulated data environments preferred
• Familiarity with version control (Git), CI/CD practices, and agile delivery
• Experience in the mortgage servicing or mortgage lending industry is a plus.
