Talent Groups
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Dallas, TX, with a contract length of "unknown" and a pay rate of "unknown." Requires 5–8+ years of experience, strong skills in Databricks, Power BI, and Azure Data Services, and a relevant degree.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 11, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#PySpark #Data Modeling #SQL (Structured Query Language) #Databricks #Computer Science #BI (Business Intelligence) #Azure #DAX #Delta Lake #"ETL (Extract #Transform #Load)" #Deployment #Spark (Apache Spark) #Data Architecture #ADF (Azure Data Factory) #Microsoft Power BI #Data Lake #Synapse #Data Engineering
Role description
Note: We are looking for candidate who are local to Dallas, TX.
Required Skills & Experience:
• Bachelor’s or master’s degree in computer science, Information Systems, or a related field.
• 5–8+ years of experience in data engineering and BI development.
• Strong hands-on experience with:
o Databricks (PySpark, Delta Lake, SQL)
o Power BI (DAX, Power Query, Data Modeling)
o Azure Data Services (Data Lake, Synapse, ADF preferred)
• Proven ability to develop and maintain metric frameworks for enterprise reporting.
• Experience implementing CI/CD pipelines for Power BI and Databricks deployments (nice to have).
• Strong understanding of data modeling, ETL design, and data architecture principles.
• Excellent analytical thinking, problem-solving, and stakeholder communication skills.
• Creation of a reusable, well-governed metric layer in Databricks for enterprise use.
• Improved data reliability, transparency, and self-service enablement across teams.
Note: We are looking for candidate who are local to Dallas, TX.
Required Skills & Experience:
• Bachelor’s or master’s degree in computer science, Information Systems, or a related field.
• 5–8+ years of experience in data engineering and BI development.
• Strong hands-on experience with:
o Databricks (PySpark, Delta Lake, SQL)
o Power BI (DAX, Power Query, Data Modeling)
o Azure Data Services (Data Lake, Synapse, ADF preferred)
• Proven ability to develop and maintain metric frameworks for enterprise reporting.
• Experience implementing CI/CD pipelines for Power BI and Databricks deployments (nice to have).
• Strong understanding of data modeling, ETL design, and data architecture principles.
• Excellent analytical thinking, problem-solving, and stakeholder communication skills.
• Creation of a reusable, well-governed metric layer in Databricks for enterprise use.
• Improved data reliability, transparency, and self-service enablement across teams.
