Compunnel Inc.
Data Engineer- W2
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 6-month contract, offering a competitive pay rate. Requires a Bachelor's degree, 6 years of data engineering experience, strong skills in Python, SQL, and cloud platforms, plus expertise in ETL processes and data modeling.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 19, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Irving, TX
-
🧠 - Skills detailed
#Data Processing #Batch #Statistics #Data Lake #Tableau #Computer Science #MIS Systems (Management Information Systems) #Data Engineering #Airflow #Database Architecture #Data Orchestration #Cloud #BI (Business Intelligence) #Databricks #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Visualization #Data Modeling #Mathematics #Spark (Apache Spark) #AWS (Amazon Web Services) #Azure #Microsoft Power BI #Python
Role description
• 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, 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.
• 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, 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.
