Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in White Plains, NY, for 12 months at a competitive pay rate. Requires 7+ years in ETL development, expertise in Azure Databricks and ADF, and relevant certifications. Hybrid work allowed.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
May 23, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
White Plains, NY
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Python #Cloud #SQL (Structured Query Language) #Data Governance #Scripting #DevOps #GitHub #Security #Data Processing #Azure Databricks #PySpark #Azure #AWS (Amazon Web Services) #Databricks #ADF (Azure Data Factory) #Spark (Apache Spark) #REST (Representational State Transfer) #API (Application Programming Interface) #Computer Science #Data Bricks #Data Engineering #Data Pipeline #Big Data #Data Modeling #Azure DevOps #Data Integration #Monitoring #Azure Data Factory
Role description
Job Description (Hybrid):
Position: Senior Data Engineer
Location: White Plains, NY
Duration: 12 Months
Note: Hybrid schedules are permissible with a minimum of 3 days on-site, depending on assignment, and can be fully on-site, depending on business needs.
Project Overview:
Responsible for managing critical Business-As-Usual (BAU) services that support enterprise-wide data operations.
These services include the development, maintenance, and monitoring of data pipelines, integrations, and reporting infrastructure that are essential for ongoing business functions.
Key responsibilities include:
• Maintaining and troubleshooting ETL workflows (Pentaho, Databricks, ADF)
• Supporting daily data loads and ensuring data availability for business reporting
• Responding to ad-hoc requests from business users
• Coordinating with DBAs and application teams for incident resolution
• Performing enhancements to support evolving business data needs. These BAU services are essential for keeping business operations running smoothly and delivering timely insights across multiple departments
Required Skills & Experience:
• 7+ years of experience in ETL development, data integration, and SQL scripting.
• Strong expertise in Azure Databricks, ADF (Azure Data Factory), and Pentaho.
• Experience handling secure file transfers using Globalscape FTP.
• Hands-on experience in developing and consuming APIs (REST/SOAP).
• Experience working with API security protocols (Oauth, JWT, API Keys, etc.).
• Proficiency in SQL, stored procedures, performance tuning, and query optimization.
• Understanding of data modeling, data warehousing, and data governance best practices.
• Hands-on experience with cloud-based data platforms (Azure/AWS) is a plus.
• Strong problem-solving skills, troubleshooting abilities, and the ability to work independently.
• Excellent communication skills and ability to work in a fast-paced environment.
Preferred Qualifications:
• Experience working in large-scale enterprise data integration projects.
• Knowledge of Python, PySpark for big data processing.
• Familiarity with CI/CD for data pipelines (Azure DevOps, GitHub Actions, etc.)
Education & Certifications:
• Bachelor's or Master's degree in a relevant field like Computer Science, Data Engineering, or a related technical field.
Certifications:
• Data bricks certified Data Engineer
• Azure Data Engineer associate
Job Description (Hybrid):
Position: Senior Data Engineer
Location: White Plains, NY
Duration: 12 Months
Note: Hybrid schedules are permissible with a minimum of 3 days on-site, depending on assignment, and can be fully on-site, depending on business needs.
Project Overview:
Responsible for managing critical Business-As-Usual (BAU) services that support enterprise-wide data operations.
These services include the development, maintenance, and monitoring of data pipelines, integrations, and reporting infrastructure that are essential for ongoing business functions.
Key responsibilities include:
• Maintaining and troubleshooting ETL workflows (Pentaho, Databricks, ADF)
• Supporting daily data loads and ensuring data availability for business reporting
• Responding to ad-hoc requests from business users
• Coordinating with DBAs and application teams for incident resolution
• Performing enhancements to support evolving business data needs. These BAU services are essential for keeping business operations running smoothly and delivering timely insights across multiple departments
Required Skills & Experience:
• 7+ years of experience in ETL development, data integration, and SQL scripting.
• Strong expertise in Azure Databricks, ADF (Azure Data Factory), and Pentaho.
• Experience handling secure file transfers using Globalscape FTP.
• Hands-on experience in developing and consuming APIs (REST/SOAP).
• Experience working with API security protocols (Oauth, JWT, API Keys, etc.).
• Proficiency in SQL, stored procedures, performance tuning, and query optimization.
• Understanding of data modeling, data warehousing, and data governance best practices.
• Hands-on experience with cloud-based data platforms (Azure/AWS) is a plus.
• Strong problem-solving skills, troubleshooting abilities, and the ability to work independently.
• Excellent communication skills and ability to work in a fast-paced environment.
Preferred Qualifications:
• Experience working in large-scale enterprise data integration projects.
• Knowledge of Python, PySpark for big data processing.
• Familiarity with CI/CD for data pipelines (Azure DevOps, GitHub Actions, etc.)
Education & Certifications:
• Bachelor's or Master's degree in a relevant field like Computer Science, Data Engineering, or a related technical field.
Certifications:
• Data bricks certified Data Engineer
• Azure Data Engineer associate
