

Tekgence Inc
Data Engineer- PySpark
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in PySpark, requiring 6-8 years of experience. It is based in Pittsburgh, PA, with a focus on ETL/ELT pipeline development, data modeling in Snowflake, and performance optimization.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Pittsburgh, PA
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🧠 - Skills detailed
#Version Control #"ETL (Extract #Transform #Load)" #Databases #PySpark #Data Modeling #Spark (Apache Spark) #Data Quality #GIT #Data Engineering #SQL (Structured Query Language) #Snowflake
Role description
Role - Data Engineer
Location - Pittsburgh, PA (Local can apply)
Skills: Digital : Snowflake~Digital : PySpark
Experience Required: 6-8 Years
Role Descriptions: Pipeline Development:
Design and implement robust ETL/ELT pipelines using PySpark and SQL to ingest data from diverse sources including APIs| flat files| and relational databases
Data Modeling:
Develop and manage complex data models (e.g.| Star/Snowflake schemas) and maintain Fact and Dimension tables within Snowflake
Performance Optimization:
Monitor and tune Snowflake queries and Spark jobs to optimize performance| reduce latency| and manage computational costs
Data Quality & Integrity:
Implement automated data validation frameworks and testing procedures to ensure a ""single source of truth"" and high data reliability
Operations:
Troubleshoot production pipeline issues| manage version control via Git
Excellent communication, presentation, and stakeholder management skills.
Email -anchal.singh@tekgence.com
Role - Data Engineer
Location - Pittsburgh, PA (Local can apply)
Skills: Digital : Snowflake~Digital : PySpark
Experience Required: 6-8 Years
Role Descriptions: Pipeline Development:
Design and implement robust ETL/ELT pipelines using PySpark and SQL to ingest data from diverse sources including APIs| flat files| and relational databases
Data Modeling:
Develop and manage complex data models (e.g.| Star/Snowflake schemas) and maintain Fact and Dimension tables within Snowflake
Performance Optimization:
Monitor and tune Snowflake queries and Spark jobs to optimize performance| reduce latency| and manage computational costs
Data Quality & Integrity:
Implement automated data validation frameworks and testing procedures to ensure a ""single source of truth"" and high data reliability
Operations:
Troubleshoot production pipeline issues| manage version control via Git
Excellent communication, presentation, and stakeholder management skills.
Email -anchal.singh@tekgence.com






