Data Engineer - Locals & W2 Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a Bachelor’s degree in Computer Science or related field, strong Python and PySpark skills, SQL experience, and familiarity with big data platforms and cloud solutions. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 28, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Phoenix, AZ
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🧠 - Skills detailed
#PostgreSQL #Azure #Data Lake #SQL (Structured Query Language) #Spark (Apache Spark) #PySpark #Databricks #Programming #Big Data #Cloud #Data Engineering #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Computer Science #SQL Server #Hadoop #MySQL #Databases #Data Processing #Python
Role description
A technology services client of ours is looking for a Data Engineer for their ongoing projects.
Below are the additional details of this role:
Required Qualifications:
• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Strong programming experience with Python.
• Hands-on expertise with PySpark for large-scale data processing.
• Experience with SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server).
• Familiarity with big data platforms (Hadoop, Spark, Databricks, EMR, etc.).
• Knowledge of cloud platforms (AWS, Azure, or GCP) and data lake/warehouse solutions.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration abilities.
A technology services client of ours is looking for a Data Engineer for their ongoing projects.
Below are the additional details of this role:
Required Qualifications:
• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Strong programming experience with Python.
• Hands-on expertise with PySpark for large-scale data processing.
• Experience with SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server).
• Familiarity with big data platforms (Hadoop, Spark, Databricks, EMR, etc.).
• Knowledge of cloud platforms (AWS, Azure, or GCP) and data lake/warehouse solutions.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration abilities.
