Techgene Solutions
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Candidates must have 7+ years of experience, with expertise in Azure Data Factory, Databricks, PySpark, and Python, focusing on ETL and data validation.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Fort Worth, TX
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🧠 - Skills detailed
#Databricks #SAS #Azure Blob Storage #Data Lake #Microsoft Power BI #Azure #Data Engineering #Azure Data Factory #PySpark #"ETL (Extract #Transform #Load)" #Database Design #Microsoft Azure #SPSS (Statistical Package for the Social Sciences) #Tableau #Agile #Cloud #Azure DevOps #Python #Data Pipeline #Datasets #Azure Databricks #Azure cloud #BI (Business Intelligence) #ADF (Azure Data Factory) #Data Mining #Spark (Apache Spark) #Statistics #Storage #DevOps
Role description
Job Description
Note: Looking for an experienced Data Engineer to build and maintain Azure-based data pipelines using Databricks, PySpark, and Python. The candidate should have strong Azure Data Factory experience, work with large datasets, and support ETL development and data validation.
7+ years of experience required.
Top 3 Mandatory Skills and Experience
• Agile development/5+ years
• Databricks, PySpark, Python/3-5 yrs
• Azure cloud Data Factory/3 yr
• Data Validations/3-5 yrs
How will the resource(s) fit into your team?: Azure, ETL-Databricks
• 4+ years of proven working experience as a Data Engineer
• 3+ years of experience with Python, pyspark
• 2+ years of experience in Microsoft Azure Data Explorer, DataBricks, Data Lake and (PowerBI or Tableau)
• 3+ years full-stack development experience, preferably in Azure
• 3+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc)
Must Have Skills
• Databricks
• PySpark
• Python
• Azure Data Factory
• Azure Data Lake
• Data Validation
• Agile Development
Job Description
Note: Looking for an experienced Data Engineer to build and maintain Azure-based data pipelines using Databricks, PySpark, and Python. The candidate should have strong Azure Data Factory experience, work with large datasets, and support ETL development and data validation.
7+ years of experience required.
Top 3 Mandatory Skills and Experience
• Agile development/5+ years
• Databricks, PySpark, Python/3-5 yrs
• Azure cloud Data Factory/3 yr
• Data Validations/3-5 yrs
How will the resource(s) fit into your team?: Azure, ETL-Databricks
• 4+ years of proven working experience as a Data Engineer
• 3+ years of experience with Python, pyspark
• 2+ years of experience in Microsoft Azure Data Explorer, DataBricks, Data Lake and (PowerBI or Tableau)
• 3+ years full-stack development experience, preferably in Azure
• 3+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc)
Must Have Skills
• Databricks
• PySpark
• Python
• Azure Data Factory
• Azure Data Lake
• Data Validation
• Agile Development
