The Planet Group
Sr. Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer in Irving, TX, for 6+ months, W2 only. Requires 8+ years of experience, strong SQL proficiency, Databricks, SSIS, Azure Data Factory, and cloud/prem experience. Focus on data pipeline development and ETL processes.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 7, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Irving, TX
-
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Requirements Gathering #Data Transformations #Delta Lake #Cloud #Agile #Azure #Datasets #Data Lake #SQL Server #MS SQL (Microsoft SQL Server) #Scala #SSIS (SQL Server Integration Services) #Code Reviews #Data Engineering #Databricks #Azure Data Factory #ADF (Azure Data Factory) #Data Pipeline #Batch #Documentation #SQL (Structured Query Language) #Data Accuracy #Data Integration #Data Processing
Role description
Job Title: Senior Data Engineer
Location: Irving, TX - onsite Tue, Wed, Thu
Duration: 6+ months
W2 only - no 3rd party/C2C candidates please
Role Overview
We are seeking a Data Engineer to design, develop, and maintain data integration and transformation solutions. This role focuses on building reliable, scalable data pipelines using Databricks, SQL, SSIS, and Azure Data Factory, in support of analytics and reporting needs. The position will work on both new project on cloud and maintenance projects on prim.
Key Responsibilities
• Design, develop, and maintain end-to-end data pipelines using Databricks, SSIS, and Azure Data Factory
• Build and optimize SQL-based data transformations, queries, and stored procedures
• Integrate data from multiple source systems into centralized data platforms
• Develop and maintain ETL/ELT processes to support batch and scheduled workloads
• Ensure data accuracy, reliability, and performance across pipelines
• Troubleshoot, debug, and resolve data processing issues
• Participate in requirements gathering to translate business needs into technical data solutions
• Collaborate with analysts, stakeholders, and other engineers to support data consumption
• Contribute to code reviews and follow established development standards
• Maintain documentation for data pipelines, processes, and data flows
• Work within an Agile environment, participating in planning, standups, and sprint activities
Required Skills & Experience
• 8+ years experience as a Data Engineer or similar data-focused role
• Strong proficiency in SQL (MS SQL Server / T?SQL)
• Hands-on experience with Databricks for data processing and transformation
• Experience working on cloud and prem
• Experience developing ETL solutions using:
• SQL Server Integration Services (SSIS)
• Azure Data Factory (ADF)
• Experience working with large datasets (millions of records)
• Understanding of data lake and delta lake concepts
• Experience supporting data pipelines in a production environment
• Strong problem-solving and communication skills
#TECH
Job Title: Senior Data Engineer
Location: Irving, TX - onsite Tue, Wed, Thu
Duration: 6+ months
W2 only - no 3rd party/C2C candidates please
Role Overview
We are seeking a Data Engineer to design, develop, and maintain data integration and transformation solutions. This role focuses on building reliable, scalable data pipelines using Databricks, SQL, SSIS, and Azure Data Factory, in support of analytics and reporting needs. The position will work on both new project on cloud and maintenance projects on prim.
Key Responsibilities
• Design, develop, and maintain end-to-end data pipelines using Databricks, SSIS, and Azure Data Factory
• Build and optimize SQL-based data transformations, queries, and stored procedures
• Integrate data from multiple source systems into centralized data platforms
• Develop and maintain ETL/ELT processes to support batch and scheduled workloads
• Ensure data accuracy, reliability, and performance across pipelines
• Troubleshoot, debug, and resolve data processing issues
• Participate in requirements gathering to translate business needs into technical data solutions
• Collaborate with analysts, stakeholders, and other engineers to support data consumption
• Contribute to code reviews and follow established development standards
• Maintain documentation for data pipelines, processes, and data flows
• Work within an Agile environment, participating in planning, standups, and sprint activities
Required Skills & Experience
• 8+ years experience as a Data Engineer or similar data-focused role
• Strong proficiency in SQL (MS SQL Server / T?SQL)
• Hands-on experience with Databricks for data processing and transformation
• Experience working on cloud and prem
• Experience developing ETL solutions using:
• SQL Server Integration Services (SSIS)
• Azure Data Factory (ADF)
• Experience working with large datasets (millions of records)
• Understanding of data lake and delta lake concepts
• Experience supporting data pipelines in a production environment
• Strong problem-solving and communication skills
#TECH
