

The Planet Group
Senior FS Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Full Stack Data Engineer in Dallas, Texas, on a 6-month contract. Key skills include Azure, SQL Server, Python, .NET, and Angular. Requires 7+ years of experience in software/data engineering and strong proficiency in ETL/ELT pipelines.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
July 16, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Dallas, TX
-
π§ - Skills detailed
#SQL (Structured Query Language) #Databases #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Databricks #Azure #Python #Data Science #BI (Business Intelligence) #Spark (Apache Spark) #Data Modeling #Agile #Scala #Data Processing #C# #Data Architecture #Datasets #SQL Server #Data Engineering #Azure SQL #Apache Spark #.Net #Database Design #Data Pipeline #ML (Machine Learning) #PySpark #Angular #Cloud #Azure cloud
Role description
Senior Full Stack Data Engineer (Azure & .NET)
Location: Dallas, Texas - Hybrid Onsite - Local Candidates only
Employment Type:Β Contract - 6 months plus.Β No Sponsorship Available
Role Overview
As a Senior Full Stack Data Engineer, you will bridge the gap between core data engineering, application development, and AI/ML initiatives. You will design and support scalable data pipelines and modern relational databases while building and integrating the full-stack applications (.NET/C# and Angular) that consume this data. This is a hands-on role ideal for an engineer who thrives on optimizing backend data architectures and connecting them to front-end systems and ML workflows.
Key Responsibilities
β’ Data Pipeline & ML Engineering: Build scalable ETL/ELT pipelines using Python, PySpark, Databricks, and Apache Spark in Azure to support advanced analytics and feature datasets for AI/ML model training.
β’ Database Design & Tuning: Architect and optimize relational database solutions (SQL Server/Azure SQL) using advanced T-SQL, query tuning, index optimization, and dimensional modeling (SCD patterns).
β’ Full-Stack Integration: Develop and maintain integrations, services, and APIs using .NET, C#, and .NET Core, and connect them to web applications built in Angular.
β’ Collaboration & Delivery: Partner with data science, BI, and product teams in an Agile environment to operationalize models and deliver robust, secure end-to-end applications.
Required Qualifications
β’ 7+ years of software and data engineering experience.
β’ Strong proficiency in SQL Server / Azure SQL development (T-SQL, performance tuning, data modeling).
β’ Hands-on experience using Python and Databricks / Apache Spark for distributed data processing.
β’ Solid full-stack experience using .NET, C#, .NET Core, and Angular to build integrated applications.
β’ Proven experience working within the Azure cloud ecosystem.
#TECH
#Dallas
#HYBRID
Senior Full Stack Data Engineer (Azure & .NET)
Location: Dallas, Texas - Hybrid Onsite - Local Candidates only
Employment Type:Β Contract - 6 months plus.Β No Sponsorship Available
Role Overview
As a Senior Full Stack Data Engineer, you will bridge the gap between core data engineering, application development, and AI/ML initiatives. You will design and support scalable data pipelines and modern relational databases while building and integrating the full-stack applications (.NET/C# and Angular) that consume this data. This is a hands-on role ideal for an engineer who thrives on optimizing backend data architectures and connecting them to front-end systems and ML workflows.
Key Responsibilities
β’ Data Pipeline & ML Engineering: Build scalable ETL/ELT pipelines using Python, PySpark, Databricks, and Apache Spark in Azure to support advanced analytics and feature datasets for AI/ML model training.
β’ Database Design & Tuning: Architect and optimize relational database solutions (SQL Server/Azure SQL) using advanced T-SQL, query tuning, index optimization, and dimensional modeling (SCD patterns).
β’ Full-Stack Integration: Develop and maintain integrations, services, and APIs using .NET, C#, and .NET Core, and connect them to web applications built in Angular.
β’ Collaboration & Delivery: Partner with data science, BI, and product teams in an Agile environment to operationalize models and deliver robust, secure end-to-end applications.
Required Qualifications
β’ 7+ years of software and data engineering experience.
β’ Strong proficiency in SQL Server / Azure SQL development (T-SQL, performance tuning, data modeling).
β’ Hands-on experience using Python and Databricks / Apache Spark for distributed data processing.
β’ Solid full-stack experience using .NET, C#, .NET Core, and Angular to build integrated applications.
β’ Proven experience working within the Azure cloud ecosystem.
#TECH
#Dallas
#HYBRID






