CBTS
Data Engineer (Mid) (no Third Party, Only W2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Mid Data Engineer, offering a contract of unspecified length at a pay rate of "$XX/hour". Candidates should have 3-5 years of data engineering experience, strong skills in Python, SQL, Spark/Pyspark, and familiarity with cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 17, 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 Processing #Data Orchestration #Tableau #Microsoft Power BI #"ETL (Extract #Transform #Load)" #Computer Science #Data Engineering #Cloud #Mathematics #Spark (Apache Spark) #Visualization #BI (Business Intelligence) #SQL (Structured Query Language) #Databricks #Database Architecture #PySpark #AWS (Amazon Web Services) #Batch #Data Lake #Statistics #Python #MIS Systems (Management Information Systems) #Data Modeling #Azure #Airflow
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.
