Addison Group

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 8+ years of experience, specializing in Microsoft Azure and Databricks. The 6-12 month contract offers $65-$75/hr in Coppell, TX, requiring skills in Azure Databricks, SQL, and data pipeline architecture.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
-
🗓️ - Date
November 19, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Coppell, TX
-
🧠 - Skills detailed
#Scala #Automation #SSIS (SQL Server Integration Services) #ADF (Azure Data Factory) #Data Engineering #Cloud #Azure DevOps #BI (Business Intelligence) #Azure Databricks #DevOps #Databricks #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Deployment #Data Modeling #Data Architecture #Microsoft Azure #Azure Data Factory #Spark (Apache Spark) #Data Mapping #Data Pipeline #AWS (Amazon Web Services) #PySpark #Azure #Python
Role description
Title: Data Engineer Location: Coppell, Tx Assignment Type: 6-12 month contract-to-hire Compensation: $65/hr-$75/hr W2 Work Model: Hybrid (4 days on-site, 1 day remote) Benefits: Medical, Dental, Vision, 401(k) What we need is someone who comes 8+ years of experience in the Data Engineering space who specializes in Microsoft Azure and Databricks. This person will be a part of multiple initiatives for the "New Development" and "Data Reporting" teams but will be primarily tasked with designing, building, maintaining, and automating their enterprise data architecture/pipelines within the cloud. Technology-wise we are needing to come with skills in Azure Databricks (5+ years), cloud-based environment (Azure and/or AWS), Azure DevOps (ADO), SQL (ETL, SSIS packages), and PySpark or Scala automation. Architecture experience in building pipelines, data modeling, data pipeline deployment, data mapping, etc. Top Skills: -8+ Years of Data Engineer/Business Intelligence -Databricks and Azure Data Factory • Most updated is Unity Catalog for Databricks • -Cloud-based environments (Azure or AWS) -Data Pipeline Architecture and CI/CD methodology -SQL -Automation (Python (PySpark), Scala)