CBTS
Data Engineer (Mid) (no Third Party, Only W2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Mid) with a contract length of "unknown," offering a pay rate of "unknown," and requires remote work. Candidates need 3-5 years of data engineering experience, proficiency in Python, SQL, Spark/Pyspark, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
March 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#Data Orchestration #Database Architecture #PySpark #"ETL (Extract #Transform #Load)" #Batch #Cloud #Statistics #Airflow #Computer Science #Mathematics #Spark (Apache Spark) #SQL (Structured Query Language) #Python #MIS Systems (Management Information Systems) #AWS (Amazon Web Services) #Visualization #Data Modeling #Tableau #Data Lake #Data Engineering #Databricks #Data Processing #BI (Business Intelligence) #Azure #Microsoft Power BI
Role description
Job Description:
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 3-5 years of relevant work experience in data engineering, with experience in data modeling and analytics.
• 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 working with analytics teams and understanding of analytics workflows, metrics development, and business intelligence requirements
• 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:
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 3-5 years of relevant work experience in data engineering, with experience in data modeling and analytics.
• 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 working with analytics teams and understanding of analytics workflows, metrics development, and business intelligence requirements
• 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.
