HeartCentrix Solutions
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include 7+ years of data engineering experience, 3-5 years with Databricks, PySpark, Python, and Azure Data Factory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 1, 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
Dallas-Fort Worth Metroplex
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🧠 - Skills detailed
#Data Integration #PySpark #Azure Data Factory #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #ADF (Azure Data Factory) #Azure #Data Quality #Data Engineering #Databricks #Python #Agile #Data Pipeline #Data Modeling #Spark (Apache Spark) #Scala
Role description
We're looking for a Senior Data Engineer to build and maintain scalable data pipelines supporting enterprise analytics initiatives. You'll work with Azure and Databricks technologies to develop reliable ETL solutions and ensure high-quality data for business teams.
What You'll Do
• Design and develop ETL pipelines using Databricks, PySpark, Python, and Azure Data Factory.
• Build and optimize data integration and transformation processes.
• Perform data validation and ensure data quality across pipelines.
• Collaborate with Agile teams to deliver scalable data solutions.
• Support Azure-based data platforms and analytics projects.
What You'll Need
• 7+ years of data engineering experience.
• 5+ years working in Agile environments.
• 3–5 years of hands-on experience with Databricks, PySpark, and Python.
• 3+ years of experience with Azure Data Factory.
• 3–5 years of experience with data validation and data quality processes.
• Strong problem-solving skills and ability to work independently.
Nice to Have
• Experience with data modeling or machine learning.
We're looking for a Senior Data Engineer to build and maintain scalable data pipelines supporting enterprise analytics initiatives. You'll work with Azure and Databricks technologies to develop reliable ETL solutions and ensure high-quality data for business teams.
What You'll Do
• Design and develop ETL pipelines using Databricks, PySpark, Python, and Azure Data Factory.
• Build and optimize data integration and transformation processes.
• Perform data validation and ensure data quality across pipelines.
• Collaborate with Agile teams to deliver scalable data solutions.
• Support Azure-based data platforms and analytics projects.
What You'll Need
• 7+ years of data engineering experience.
• 5+ years working in Agile environments.
• 3–5 years of hands-on experience with Databricks, PySpark, and Python.
• 3+ years of experience with Azure Data Factory.
• 3–5 years of experience with data validation and data quality processes.
• Strong problem-solving skills and ability to work independently.
Nice to Have
• Experience with data modeling or machine learning.
