

PTR Global
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in New York, NY, with a 6-month contract at $70–$75/hr. Requires 7+ years of Data Engineering experience, 3+ years with Databricks, and expertise in Delta Lake, Python, and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
-
🗓️ - Date
August 12, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, United States
-
🧠 - Skills detailed
#Oracle #Automation #Databricks #Python #GCP (Google Cloud Platform) #Data Architecture #ADF (Azure Data Factory) #Delta Lake #SQL (Structured Query Language) #Data Quality #Data Ingestion #Kafka (Apache Kafka) #Data Modeling #Azure #Scala #Data Engineering #BI (Business Intelligence) #AWS (Amazon Web Services) #Azure Data Factory #Data Pipeline #"ETL (Extract #Transform #Load)"
Role description
🚨 Hiring: Databricks Data Engineer | New York, NY
PTR Global is hiring an experienced Databricks Data Engineer to join a new team and new project with an immediate start.
📍 Location: New York, NY
🏢 Work Arrangement: Onsite 4 days/week
⏳ Duration: 6 months
💰 Rate: $70–$75/hr on W2
🕐 Hours: 8:00 AM – 5:00 PM
🚀 Start Date: ASAP
💼 Experience: 7+ years
🔄 Contract-to-Hire: No
🎯 Interview Process: 2–3 rounds
No C2C ONLY W2
🔹 What We’re Looking For
• 7+ years of Data Engineering experience
• 3+ years of hands-on Databricks experience
• Strong experience with Delta Lake, Delta Live Tables, Unity Catalog & Databricks Workflows
• Strong Python and/or Scala and SQL skills
• Experience with ETL/ELT, data ingestion, data modeling, and pipeline orchestration
• Experience designing and optimizing scalable Databricks data pipelines
• Experience with Sales Incentive Compensation (SIC) processes is highly preferred
• Familiarity with Anaplan, Oracle ICM, or Varicent is a plus
• Experience with Azure, AWS, or GCP
• Experience with Azure Data Factory, Event Hubs, Kafka, or equivalent technologies
• Strong communication, stakeholder management, analytical, and problem-solving skills
• Ability to work effectively as a team player and independently
🔹 Responsibilities
• Design, develop, and maintain Databricks data pipelines and architectures
• Build data models, Delta Lake tables, notebooks, and workflows
• Support Sales Incentive Compensation processes, including quota, attainment, commissions, and payout reporting
• Partner with Finance, Sales Operations, IT, and BI teams
• Optimize data quality, performance, automation, and pipeline reliability
• Troubleshoot and resolve data and pipeline issues
• Document data architectures, technical specifications, and development processes
🚨 Hiring: Databricks Data Engineer | New York, NY
PTR Global is hiring an experienced Databricks Data Engineer to join a new team and new project with an immediate start.
📍 Location: New York, NY
🏢 Work Arrangement: Onsite 4 days/week
⏳ Duration: 6 months
💰 Rate: $70–$75/hr on W2
🕐 Hours: 8:00 AM – 5:00 PM
🚀 Start Date: ASAP
💼 Experience: 7+ years
🔄 Contract-to-Hire: No
🎯 Interview Process: 2–3 rounds
No C2C ONLY W2
🔹 What We’re Looking For
• 7+ years of Data Engineering experience
• 3+ years of hands-on Databricks experience
• Strong experience with Delta Lake, Delta Live Tables, Unity Catalog & Databricks Workflows
• Strong Python and/or Scala and SQL skills
• Experience with ETL/ELT, data ingestion, data modeling, and pipeline orchestration
• Experience designing and optimizing scalable Databricks data pipelines
• Experience with Sales Incentive Compensation (SIC) processes is highly preferred
• Familiarity with Anaplan, Oracle ICM, or Varicent is a plus
• Experience with Azure, AWS, or GCP
• Experience with Azure Data Factory, Event Hubs, Kafka, or equivalent technologies
• Strong communication, stakeholder management, analytical, and problem-solving skills
• Ability to work effectively as a team player and independently
🔹 Responsibilities
• Design, develop, and maintain Databricks data pipelines and architectures
• Build data models, Delta Lake tables, notebooks, and workflows
• Support Sales Incentive Compensation processes, including quota, attainment, commissions, and payout reporting
• Partner with Finance, Sales Operations, IT, and BI teams
• Optimize data quality, performance, automation, and pipeline reliability
• Troubleshoot and resolve data and pipeline issues
• Document data architectures, technical specifications, and development processes





