Confidential Jobs
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 6-month remote contract, offering a W2 position. Requires 10+ years in ETL development, proficiency in SQL, and experience with ETL tools and cloud platforms. Familiarity with data mesh concepts is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 6, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Integration #Kubernetes #Python #Automation #ADF (Azure Data Factory) #Batch #SQL (Structured Query Language) #Cloud #Databricks #SSIS (SQL Server Integration Services) #Docker #Scala #Informatica #Data Processing #Data Modeling #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Data Warehouse #API (Application Programming Interface) #Spark (Apache Spark) #DevOps #Data Engineering #Data Lake #Talend #Databases #Java #Azure
Role description
Role: ETL Data Engineer
Duration: 6 Months of contract duration
Location: Remote
Note: This is a W2 position
5+ ETL or 5+ data engineers that are flexible to learn new things like data mesh, build automation etc
Requirements
Job Description:
Required Skills & Experience
• 10+ years of experience in ETL development, data engineering, or related roles.
• Strong hands-on experience with ETL tools (Informatica, Talend, ADF, Pentaho, SSIS, etc.) or cloud-based ETL.
• Proficiency in SQL and experience working with relational and non-relational databases.
• Experience in Python/Scala/Java for data processing.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Understanding of data warehouse concepts, data modeling, and batch/real-time processing.
• Ability to quickly learn and adapt to new technologies and frameworks.
Good to Have
• Exposure to data mesh concepts or modern data platform architecture.
• Experience with Docker, Kubernetes, or containerized environments.
• Knowledge of DevOps practices and CI/CD automation.
• Experience with data lakes, lakehouses, or distributed processing systems (Spark, Databricks, EMR etc.).
• Understanding of API-based data integration.
Role: ETL Data Engineer
Duration: 6 Months of contract duration
Location: Remote
Note: This is a W2 position
5+ ETL or 5+ data engineers that are flexible to learn new things like data mesh, build automation etc
Requirements
Job Description:
Required Skills & Experience
• 10+ years of experience in ETL development, data engineering, or related roles.
• Strong hands-on experience with ETL tools (Informatica, Talend, ADF, Pentaho, SSIS, etc.) or cloud-based ETL.
• Proficiency in SQL and experience working with relational and non-relational databases.
• Experience in Python/Scala/Java for data processing.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Understanding of data warehouse concepts, data modeling, and batch/real-time processing.
• Ability to quickly learn and adapt to new technologies and frameworks.
Good to Have
• Exposure to data mesh concepts or modern data platform architecture.
• Experience with Docker, Kubernetes, or containerized environments.
• Knowledge of DevOps practices and CI/CD automation.
• Experience with data lakes, lakehouses, or distributed processing systems (Spark, Databricks, EMR etc.).
• Understanding of API-based data integration.
