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." Key skills include Databricks, Azure, ETL processes, and data engineering. Proven experience with large-scale data processing and leadership abilities are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 29, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Plano, TX
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Science #Data Quality #Leadership #Security #Compliance #Data Processing #Databricks #Azure Databricks #Strategy #Scala #Data Pipeline #Data Security #Big Data #Azure #Data Strategy #Data Engineering #Data Management #Data Analysis
Role description
The Databricks Lead Engineer will be responsible for architecting and implementing advanced data solutions on the Databricks platform. They will lead a team of engineers and collaborate closely with stakeholders to deliver scalable data pipelines, perform sophisticated data analysis, and drive best practices in data management and engineering.
Key responsibilities include:
- Leading the design and implementation of data solutions on Azure Databricks.
- Managing and mentoring a team of data engineers.
- Collaborating with data scientists and analysts to ensure seamless integration of data workflows.
- Ensuring data quality and reliability through the implementation of robust testing and validation processes.
- Staying up-to-date with the latest industry trends and technologies to continually improve our data strategy.
- Hands-on experience in designing & implementing ETL solutions in Azure platform
The ideal candidate will have:
- Proven experience with Databricks and large-scale data processing.
- Strong expertise in data engineering, including ETL processes, data warehousing, and big data technologies.
- Excellent leadership and communication skills.
- A solid understanding of data security and compliance requirements.
- The ability to work collaboratively in a fast-paced, dynamic environment.
The Databricks Lead Engineer will be responsible for architecting and implementing advanced data solutions on the Databricks platform. They will lead a team of engineers and collaborate closely with stakeholders to deliver scalable data pipelines, perform sophisticated data analysis, and drive best practices in data management and engineering.
Key responsibilities include:
- Leading the design and implementation of data solutions on Azure Databricks.
- Managing and mentoring a team of data engineers.
- Collaborating with data scientists and analysts to ensure seamless integration of data workflows.
- Ensuring data quality and reliability through the implementation of robust testing and validation processes.
- Staying up-to-date with the latest industry trends and technologies to continually improve our data strategy.
- Hands-on experience in designing & implementing ETL solutions in Azure platform
The ideal candidate will have:
- Proven experience with Databricks and large-scale data processing.
- Strong expertise in data engineering, including ETL processes, data warehousing, and big data technologies.
- Excellent leadership and communication skills.
- A solid understanding of data security and compliance requirements.
- The ability to work collaboratively in a fast-paced, dynamic environment.
