MeeBoss
Role: Databricks Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Data Engineer in New York, NY, offering $75/hr on a W2 for a 10+ year experienced professional. Key skills include Databricks, Delta Lake, Python/Scala, and ETL/ELT development. U.S. Citizens and Green Card Holders only.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
August 1, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#Azure Data Factory #Debugging #Azure #Databricks #Delta Lake #SQL (Structured Query Language) #Scala #GCP (Google Cloud Platform) #Programming #Data Modeling #ADF (Azure Data Factory) #Data Architecture #Data Integration #"ETL (Extract #Transform #Load)" #Data Pipeline #Oracle #Data Engineering #AWS (Amazon Web Services) #Kafka (Apache Kafka) #Python
Role description
🚨 Now Hiring: Databricks Data Engineer 🚨 📍 Location: New York, NY 10036 (Hybrid) 💼 Employment Type: W2 💰 Rate: $75/hr on W2 🛂 Work Authorization: U.S. Citizens & Green Card Holders Only 📅 Experience Required: 10+ Years Our direct client is seeking an experienced Databricks Data Engineer to design and deliver scalable data engineering solutions that power enterprise analytics, performance reporting, and Sales Incentive Compensation (SIC) processes. Required Skills: ✔️ 10+ years of Data Engineering experience ✔️ 3+ years of hands-on experience with Databricks ✔️ Expertise in Delta Lake, Delta Live Tables (DLT), Unity Catalog, and Databricks Workflows ✔️ Strong programming skills in Python and/or Scala ✔️ Advanced SQL and ETL/ELT development experience ✔️ Experience with data modeling, pipeline orchestration, and enterprise data architectures ✔️ Hands-on experience integrating Databricks with Azure, AWS, or GCP ✔️ Experience with Azure Data Factory, Kafka, Event Hubs, or similar data integration technologies Preferred Experience: ⭐ Sales Incentive Compensation (SIC) processes including: Quota Management Attainment Tracking Commission Calculations Payout Processing ⭐ Experience with SIC platforms such as: Anaplan Oracle ICM Varicent Key Responsibilities: ✅ Design, develop, and optimize Databricks-based data pipelines and Delta Lake solutions ✅ Build scalable ETL/ELT workflows for enterprise analytics and reporting ✅ Design data models supporting Sales Incentive Compensation processes ✅ Collaborate with Sales Operations, Finance, and Business stakeholders to translate business requirements into scalable technical solutions ✅ Implement and optimize Databricks features including Unity Catalog, Delta Live Tables, and Photon ✅ Perform testing, debugging, and performance tuning of data pipelines ✅ Document technical designs, pipeline configurations, and development standards 📩 Interested candidates, please send your updated resume, expected rate, and contact details to: 📧 sonu.nasir@totalebiz.com Please apply only if you are a U.S. Citizen or Green Card Holder and are available to work in a Hybrid model in New York, NY.
🚨 Now Hiring: Databricks Data Engineer 🚨 📍 Location: New York, NY 10036 (Hybrid) 💼 Employment Type: W2 💰 Rate: $75/hr on W2 🛂 Work Authorization: U.S. Citizens & Green Card Holders Only 📅 Experience Required: 10+ Years Our direct client is seeking an experienced Databricks Data Engineer to design and deliver scalable data engineering solutions that power enterprise analytics, performance reporting, and Sales Incentive Compensation (SIC) processes. Required Skills: ✔️ 10+ years of Data Engineering experience ✔️ 3+ years of hands-on experience with Databricks ✔️ Expertise in Delta Lake, Delta Live Tables (DLT), Unity Catalog, and Databricks Workflows ✔️ Strong programming skills in Python and/or Scala ✔️ Advanced SQL and ETL/ELT development experience ✔️ Experience with data modeling, pipeline orchestration, and enterprise data architectures ✔️ Hands-on experience integrating Databricks with Azure, AWS, or GCP ✔️ Experience with Azure Data Factory, Kafka, Event Hubs, or similar data integration technologies Preferred Experience: ⭐ Sales Incentive Compensation (SIC) processes including: Quota Management Attainment Tracking Commission Calculations Payout Processing ⭐ Experience with SIC platforms such as: Anaplan Oracle ICM Varicent Key Responsibilities: ✅ Design, develop, and optimize Databricks-based data pipelines and Delta Lake solutions ✅ Build scalable ETL/ELT workflows for enterprise analytics and reporting ✅ Design data models supporting Sales Incentive Compensation processes ✅ Collaborate with Sales Operations, Finance, and Business stakeholders to translate business requirements into scalable technical solutions ✅ Implement and optimize Databricks features including Unity Catalog, Delta Live Tables, and Photon ✅ Perform testing, debugging, and performance tuning of data pipelines ✅ Document technical designs, pipeline configurations, and development standards 📩 Interested candidates, please send your updated resume, expected rate, and contact details to: 📧 sonu.nasir@totalebiz.com Please apply only if you are a U.S. Citizen or Green Card Holder and are available to work in a Hybrid model in New York, NY.
