CBTS
Sr Data Engineer with Azure Databricks Experience
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Engineer with Azure Databricks experience, offering a contract length of "unknown" and a pay rate of "unknown." Key skills required include SQL, Python, PySpark, and experience with Databricks. A Bachelor’s degree and 6 years of data engineering experience are mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 9, 2025
🕒 - 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
Irving, TX
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🧠 - Skills detailed
#Database Architecture #Microsoft Power BI #MIS Systems (Management Information Systems) #Data Lake #Visualization #Statistics #Data Engineering #BI (Business Intelligence) #Computer Science #Azure Databricks #Spark (Apache Spark) #Mathematics #Azure #Batch #Airflow #Python #PySpark #Cloud #Databricks #Data Modeling #Data Orchestration #SQL (Structured Query Language) #Tableau #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #Data Processing
Role description
Job Description:
Notes::
Looking for:
Great SQL, Python and pyspark skills
Preferably experienced with Databricks
Basic Qualifications:
• Bachelor’s degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, Computer Engineering/Electrical Engineering, or any Engineering field or quantitative discipline such as Physics or Statistics.
• Minimum 6 years of relevant work experience in data engineering, with at least 2 years in a data modeling.
• Strong technical foundation in Python, SQL, Spark/Pyspark and experience with cloud platforms (for example, AWS, Azure,).
• Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies.
• Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI).
• Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.
• Good communication, interpersonal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences.
Extra Credit:
• Experience with Databricks platform.
• Experience with CDP platforms like HighTouch.
Job Description:
Notes::
Looking for:
Great SQL, Python and pyspark skills
Preferably experienced with Databricks
Basic Qualifications:
• Bachelor’s degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, Computer Engineering/Electrical Engineering, or any Engineering field or quantitative discipline such as Physics or Statistics.
• Minimum 6 years of relevant work experience in data engineering, with at least 2 years in a data modeling.
• Strong technical foundation in Python, SQL, Spark/Pyspark and experience with cloud platforms (for example, AWS, Azure,).
• Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies.
• Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI).
• Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.
• Good communication, interpersonal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences.
Extra Credit:
• Experience with Databricks platform.
• Experience with CDP platforms like HighTouch.
