

Data Engineer - Face-to-Face Interview Required
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 8+ years of experience, focusing on PySpark, Databricks, AWS, and Pentaho. Located in West Chester, PA, it offers $50.00 - $60.00 per hour on a part-time contract basis. Telecom experience preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
480
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ποΈ - Date discovered
August 24, 2025
π - Project duration
Unknown
-
ποΈ - Location type
On-site
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π - Contract type
Corp-to-Corp (C2C)
-
π - Security clearance
Unknown
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π - Location detailed
West Chester, PA 19380
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π§ - Skills detailed
#Data Pipeline #PySpark #S3 (Amazon Simple Storage Service) #Python #Data Governance #Spark (Apache Spark) #SQL (Structured Query Language) #Redshift #Databricks #"ETL (Extract #Transform #Load)" #EC2 #Data Engineering #Visualization #Microsoft Power BI #Scala #BI (Business Intelligence) #Tableau #AWS (Amazon Web Services) #Cloud #AWS S3 (Amazon Simple Storage Service)
Role description
OverviewRole : Data Engineer-Face-to-Face Interview Required
Location : West Chester, PA(onsite ) local only
Experience: 8+ years
Type : C2C and W2
Face-to-Face Interview Required
JD: (Telecom background preferred)
Are you a data-driven professional with expertise in PySpark, Databricks, AWS, and Pentaho?
Weβre looking for a Data Engineer who can design scalable data pipelines, optimize ETL/ELT workflows, and deliver insights that improve customer experience, personalization, and churn management.
What Youβll Do
Design, build, and maintain ETL/ELT pipelines using PySpark, Databricks, and Pentaho.
Work with AWS (S3, Redshift, EC2, EMR) to ensure a reliable and scalable cloud infrastructure.
Collaborate with business teams to analyze data for churn prediction, network performance, personalization, and billing/service inquiries.
Build dashboards & reports in Tableau / Power BI to share insights with technical and non-technical teams. Ensure data governance, quality, and accuracy across platforms.
What Weβre Looking For
5+ years of experience in Data Engineering / Analytics.
Strong skills in Python, SQL, PySpark, Databricks, Pentaho, AWS.
Experience with Tableau / Power BI for reporting and visualization.
Telecom industry experience (customer experience projects) is a plus.
Excellent communication & problem-solving skills.
Job Types: Part-time, Contract
Pay: $50.00 - $60.00 per hour
Ability to Commute:
West Chester, PA 19380 (Required)
Ability to Relocate:
West Chester, PA 19380: Relocate before starting work (Required)
Work Location: In person
OverviewRole : Data Engineer-Face-to-Face Interview Required
Location : West Chester, PA(onsite ) local only
Experience: 8+ years
Type : C2C and W2
Face-to-Face Interview Required
JD: (Telecom background preferred)
Are you a data-driven professional with expertise in PySpark, Databricks, AWS, and Pentaho?
Weβre looking for a Data Engineer who can design scalable data pipelines, optimize ETL/ELT workflows, and deliver insights that improve customer experience, personalization, and churn management.
What Youβll Do
Design, build, and maintain ETL/ELT pipelines using PySpark, Databricks, and Pentaho.
Work with AWS (S3, Redshift, EC2, EMR) to ensure a reliable and scalable cloud infrastructure.
Collaborate with business teams to analyze data for churn prediction, network performance, personalization, and billing/service inquiries.
Build dashboards & reports in Tableau / Power BI to share insights with technical and non-technical teams. Ensure data governance, quality, and accuracy across platforms.
What Weβre Looking For
5+ years of experience in Data Engineering / Analytics.
Strong skills in Python, SQL, PySpark, Databricks, Pentaho, AWS.
Experience with Tableau / Power BI for reporting and visualization.
Telecom industry experience (customer experience projects) is a plus.
Excellent communication & problem-solving skills.
Job Types: Part-time, Contract
Pay: $50.00 - $60.00 per hour
Ability to Commute:
West Chester, PA 19380 (Required)
Ability to Relocate:
West Chester, PA 19380: Relocate before starting work (Required)
Work Location: In person