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Data Engineer Python, PySpark, SQL
Job Location:
Job Location:
Las Vegas, NV - USA
Hourly Salary:
USD 55 - 60
Hourly Salary:
Posted:
27 October 2026 (5 hours ago)
Posted:
Application Deadline:
24 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Role: Data Engineer - Python PySpark SQL
Location: Las Vegas NV (3 Days onsite/week)
Rate: $55/hr.-$60/hr. on C2C
Job Summary:
We are seeking a Data Engineer to design build and maintain scalable data pipelines and processing solutions. The ideal candidate will have strong hands-on experience with Python PySpark and SQL along with a solid understanding of data engineering best practices.
Key Responsibilities
Develop and Eligible to workimize ETL/ELT pipelines using Python and PySpark.
Write complex SQL queries for data extraction transformation and analysis.
Process large datasets and improve data quality reliability and performance.
Collaborate with analysts developers and business teams to deliver data solutions.
Troubleshoot pipeline issues and maintain technical documentation.
Required Qualifications
Strong proficiency in Python PySpark and SQL.
Experience with data warehousing data modeling and distributed processing.
Knowledge of cloud data platforms and orchestration tools is preferred.
Strong analytical problem-solving and communication skills.
Location: Las Vegas NV (3 Days onsite/week)
Rate: $55/hr.-$60/hr. on C2C
Job Summary:
We are seeking a Data Engineer to design build and maintain scalable data pipelines and processing solutions. The ideal candidate will have strong hands-on experience with Python PySpark and SQL along with a solid understanding of data engineering best practices.
Key Responsibilities
Develop and Eligible to workimize ETL/ELT pipelines using Python and PySpark.
Write complex SQL queries for data extraction transformation and analysis.
Process large datasets and improve data quality reliability and performance.
Collaborate with analysts developers and business teams to deliver data solutions.
Troubleshoot pipeline issues and maintain technical documentation.
Required Qualifications
Strong proficiency in Python PySpark and SQL.
Experience with data warehousing data modeling and distributed processing.
Knowledge of cloud data platforms and orchestration tools is preferred.
Strong analytical problem-solving and communication skills.
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Required Experience:
IC
