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
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💰 - Day rate
576
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🗓️ - Date
November 19, 2025
🕒 - 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
Dallas, TX
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🧠 - 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