New York Technology Partners
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position for a contract length of "X months" at a pay rate of "$X/hour". Key skills required include data ingestion, data integration, and data quality assurance. Experience with APIs, databases, and Scala is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 20, 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
Princeton, NJ
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🧠 - Skills detailed
#Data Ingestion #Data Storage #Data Pipeline #Data Engineering #Data Quality #Databases #Storage #Data Accuracy #Quality Assurance #Scala #Monitoring #Data Integration
Role description
JOB DESCRIPTION:
A Data Engineer Resource is responsible for managing the intake of raw data from various sources into the system Their key responsibilities include
1 Data Pipeline Development Building and maintaining processes to efficiently ingest data from multiple sources eg APIs databases external systems into data storage systems as defined by the Data Product Manager
2 Data Integration Ensuring smooth integration of diverse data types and formats into the target location
3 Data Quality Assurance Implementing checks and validations during ingestion to ensure data accuracy completeness and consistency
4 Monitoring and Optimization Continuously monitoring data ingestion processes to ensure they are reliable scalable and performant optimizing them as necessary
In summary an Ingestion Resource ensures that data is effectively collected from specified sources validated and made available for further processing formatting refinement and analysis within data product
JOB DESCRIPTION:
A Data Engineer Resource is responsible for managing the intake of raw data from various sources into the system Their key responsibilities include
1 Data Pipeline Development Building and maintaining processes to efficiently ingest data from multiple sources eg APIs databases external systems into data storage systems as defined by the Data Product Manager
2 Data Integration Ensuring smooth integration of diverse data types and formats into the target location
3 Data Quality Assurance Implementing checks and validations during ingestion to ensure data accuracy completeness and consistency
4 Monitoring and Optimization Continuously monitoring data ingestion processes to ensure they are reliable scalable and performant optimizing them as necessary
In summary an Ingestion Resource ensures that data is effectively collected from specified sources validated and made available for further processing formatting refinement and analysis within data product
