PySpark Big Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a PySpark Big Data Engineer with 6+ years of experience in PySpark and MapR, strong Python skills, and proficiency in SQL. The contract lasts 7 months, pays $66.65/hour, and is hybrid in Phoenix, Arizona.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
528
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🗓️ - Date discovered
August 20, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
1099 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Phoenix, AZ
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🧠 - Skills detailed
#Big Data #Data Processing #Migration #PySpark #Data Engineering #Python #Data Modeling #Oracle #SQL (Structured Query Language) #Tableau #Data Pipeline #Visualization #Microsoft Power BI #Spark (Apache Spark) #BI (Business Intelligence) #Programming #Cloud #Scala
Role description
POSITION: PySpark Big Data Engineer
PAY RANGE: $66.65 per hour
LOCATION: Phoenix, Arizona 85054 (Hybrid, 3 days onsite per week)
DURATION: 7-Month-Contract (Plus Extensions)
REQUIRED EXPERIENCE:
• 6+ years of hands-on experience with PySpark and MapR.
• Strong programming skills in Python.
• Proficiency in SQL and data modeling; Oracle experience is a plus.
• Experience with Power BI and/or Tableau for data visualization and reporting.
SUMMARY:
A Fortune 500 client in the Financial Services/FinTech sector is seeking a Big Data Engineer with an expertise in PySpark, Python, and MapR. You’ll join a collaborative team supporting the modernization of legacy applications to a cloud-hosted platform. This role will initially focus on migrating mainframe reports and rebuilding them in modern reporting tools like Tableau or Excel.
Key Responsibilities
• Support the migration of legacy mainframe reports to a modern cloud-based environment.
• Recreate and optimize reports using Tableau or Excel.
• Collaborate with cross-functional teams to modernize data pipelines and reporting infrastructure.
• Leverage Big Data technologies to ensure scalable and efficient data processing.
Compensation:
$66.65/hr
Exact compensation may vary based on several factors, including skills, experience, and education.
Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.
POSITION: PySpark Big Data Engineer
PAY RANGE: $66.65 per hour
LOCATION: Phoenix, Arizona 85054 (Hybrid, 3 days onsite per week)
DURATION: 7-Month-Contract (Plus Extensions)
REQUIRED EXPERIENCE:
• 6+ years of hands-on experience with PySpark and MapR.
• Strong programming skills in Python.
• Proficiency in SQL and data modeling; Oracle experience is a plus.
• Experience with Power BI and/or Tableau for data visualization and reporting.
SUMMARY:
A Fortune 500 client in the Financial Services/FinTech sector is seeking a Big Data Engineer with an expertise in PySpark, Python, and MapR. You’ll join a collaborative team supporting the modernization of legacy applications to a cloud-hosted platform. This role will initially focus on migrating mainframe reports and rebuilding them in modern reporting tools like Tableau or Excel.
Key Responsibilities
• Support the migration of legacy mainframe reports to a modern cloud-based environment.
• Recreate and optimize reports using Tableau or Excel.
• Collaborate with cross-functional teams to modernize data pipelines and reporting infrastructure.
• Leverage Big Data technologies to ensure scalable and efficient data processing.
Compensation:
$66.65/hr
Exact compensation may vary based on several factors, including skills, experience, and education.
Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.
