

The Planet Group
Senior Fullstack Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Fullstack Data Engineer on a W2 contract in Dallas, TX, paying $72/hour. Requires 8+ years of experience, proficiency in Python, SQL, and Java, and expertise in Azure, ETL tools, and data engineering frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
576
-
🗓️ - Date
November 19, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Dallas, TX
-
🧠 - Skills detailed
#Scala #Data Quality #Angular #Strategy #Data Lake #Kafka (Apache Kafka) #Hadoop #Programming #Java #SSIS (SQL Server Integration Services) #ADF (Azure Data Factory) #Data Engineering #Cloud #.Net #Databricks #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #SQL (Structured Query Language) #Storage #API (Application Programming Interface) #Deployment #TypeScript #Azure Data Factory #Spark (Apache Spark) #Data Pipeline #Data Science #C# #Azure #Security #Python
Role description
Senior Full Stack Data Engineer
Employment Type: W2
Pay Rate: $72 per hour
Location: Dallas, TX - Hybrid onsite.
Interview process – In Person interview required.
NO 3rd Party help in any form – no calls or emails
NO Sponsorship Available
Overview
We are seeking a Senior Software Engineer with a strong focus on Full Stack Data Engineering. This role is ideal for someone who thrives at the intersection of data engineering, machine learning enablement, and full-stack application development. You’ll be instrumental in building scalable data solutions and delivering robust applications that power intelligent decision-making.Responsibilities
• Design, build, and optimize data pipelines, ingestion processes, and transformation workflows
• Develop and maintain full-stack applications (API + UI)
• Enable and support machine learning workflows, including data prep, feature engineering, and deployment integration
• Collaborate with data scientists, architects, and product teams to deliver end-to-end solutions
• Ensure data quality, performance, and security across platforms
• Contribute to architecture and technical strategy
Required Skills & Experience
• 8+ years of full stack data engineering experience
• Programming: Python, SQL, Java, C#, TypeScript
• Frameworks: .NET Core, Angular, Angular Material, Entity Framework
• Data Engineering: Hadoop, Spark, Kafka (preferred)
• ETL Tools: SSIS, Azure Data Factory
• Cloud: Azure (Data Lake, Functions, Storage, Databricks a plus)
#TECH
#HYBRID
#DALLAS
Senior Full Stack Data Engineer
Employment Type: W2
Pay Rate: $72 per hour
Location: Dallas, TX - Hybrid onsite.
Interview process – In Person interview required.
NO 3rd Party help in any form – no calls or emails
NO Sponsorship Available
Overview
We are seeking a Senior Software Engineer with a strong focus on Full Stack Data Engineering. This role is ideal for someone who thrives at the intersection of data engineering, machine learning enablement, and full-stack application development. You’ll be instrumental in building scalable data solutions and delivering robust applications that power intelligent decision-making.Responsibilities
• Design, build, and optimize data pipelines, ingestion processes, and transformation workflows
• Develop and maintain full-stack applications (API + UI)
• Enable and support machine learning workflows, including data prep, feature engineering, and deployment integration
• Collaborate with data scientists, architects, and product teams to deliver end-to-end solutions
• Ensure data quality, performance, and security across platforms
• Contribute to architecture and technical strategy
Required Skills & Experience
• 8+ years of full stack data engineering experience
• Programming: Python, SQL, Java, C#, TypeScript
• Frameworks: .NET Core, Angular, Angular Material, Entity Framework
• Data Engineering: Hadoop, Spark, Kafka (preferred)
• ETL Tools: SSIS, Azure Data Factory
• Cloud: Azure (Data Lake, Functions, Storage, Databricks a plus)
#TECH
#HYBRID
#DALLAS






