Amtex Systems Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with expertise in Azure Data Factory, Databricks, and Terraform. It offers a long-term hybrid contract in Moorestown, NJ, focusing on data ingestion, pipeline development, and business analysis. Marketing analytics experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 23, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Moorestown, NJ
-
🧠 - Skills detailed
#Spark (Apache Spark) #Business Analysis #Logic Apps #Azure #Monitoring #Terraform #Data Engineering #BI (Business Intelligence) #SQL (Structured Query Language) #Azure Data Factory #Data Ingestion #Databricks #"ETL (Extract #Transform #Load)" #ADF (Azure Data Factory) #Data Analysis
Role description
Azure/ Data Engineer
Moorestown, NJ - Day 1 Hybrid
Long Term Contract
Must Have Skills:
Azure Data Factory - ADF
Databricks
Terraform
Logic Apps
Microsoft Fabric
Technical Responsibilities: Data Engineering
• Data ingestion.
• Pipeline development.
• SQL work.
• Databricks development.
• Spark notebooks.
• Data transformation.
Business Analysis / Data Analysis
• Understanding business problems.
• Participating in stakeholder discussions.
• Helping define analytical approaches.
• Generating recommendations.
• Partnering with business teams.
Operational Support
• Monitoring data jobs.
• Supporting integrations.
• Managing enhancements.
• Handling small projects.
• Working across IT and business teams.
Ideal candidate: Client's preference
• Azure
• Databricks
• Marketing Analytics
• Customer Analytics
• Business Intelligence
• An analytical, business-focused Azure/Data Engineer over a purely technical Databricks specialist
Azure/ Data Engineer
Moorestown, NJ - Day 1 Hybrid
Long Term Contract
Must Have Skills:
Azure Data Factory - ADF
Databricks
Terraform
Logic Apps
Microsoft Fabric
Technical Responsibilities: Data Engineering
• Data ingestion.
• Pipeline development.
• SQL work.
• Databricks development.
• Spark notebooks.
• Data transformation.
Business Analysis / Data Analysis
• Understanding business problems.
• Participating in stakeholder discussions.
• Helping define analytical approaches.
• Generating recommendations.
• Partnering with business teams.
Operational Support
• Monitoring data jobs.
• Supporting integrations.
• Managing enhancements.
• Handling small projects.
• Working across IT and business teams.
Ideal candidate: Client's preference
• Azure
• Databricks
• Marketing Analytics
• Customer Analytics
• Business Intelligence
• An analytical, business-focused Azure/Data Engineer over a purely technical Databricks specialist
