Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Irving, TX, lasting 6+ months, with a pay rate on W2. Requires 6 years of data engineering experience, strong Python, SQL, Spark/Pyspark skills, and familiarity with cloud platforms like AWS or Azure.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
July 23, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#Databricks #PySpark #Data Lake #Database Architecture #Batch #Data Engineering #Airflow #Cloud #BI (Business Intelligence) #Python #AWS (Amazon Web Services) #Data Modeling #Spark (Apache Spark) #Azure #"ETL (Extract #Transform #Load)" #Tableau #Visualization #Microsoft Power BI #SQL (Structured Query Language) #Data Processing #Data Orchestration
Role description
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Job Title: Data Engineer
Location: Irving, TX (ONSITE)
Duration: 6+ Months (possibility of extension)
(ONLY ON W2)
Job Description:
• 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.
• Experience with Databricks platform.
• Experience with CDP platforms like HighTouch.
• SQL, Python and pyspark skills
• Preferably experienced with Databricks
