Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Media, PA, with a contract length of "unknown" and a pay rate of "unknown." Candidates should have 12+ years of experience, strong expertise in Snowflake and SQL, and solid ETL and data pipeline development skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 19, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Pennsylvania, United States
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🧠 - Skills detailed
#Security #Snowflake #Data Pipeline #Data Engineering #Cloud #Data Modeling #"ETL (Extract #Transform #Load)" #Data Warehouse #SQL (Structured Query Language) #GCP (Google Cloud Platform) #Azure #AWS (Amazon Web Services) #Datasets #Data Quality #Scala
Role description
Job Role: Data Engineer
Job Location: Media, PA (Need local Candidates )
Experience: 12+Years
Key Responsibilities:
Design, build, and maintain scalable data pipelines and ETL processes.
Work with large datasets to support reporting, analytics, and business decision-making.
Collaborate with cross-functional teams to understand data needs and deliver robust solutions.
Optimize and manage data warehouse architecture, especially in Snowflake.
Ensure data quality, security, and performance across all data systems.
Requirements:
Proven experience as a Data Engineer or in a similar role.
Strong expertise in Snowflake, SQL, and data warehouse technologies.
Solid understanding of ETL processes and data pipeline development.
Ability to work in a hybrid setup and be available for an in-person interview in Media, PA.
Nice to Have:
Experience with additional cloud platforms (AWS, GCP, or Azure).
Familiarity with data modeling and performance tuning
Please send your resume ASAP
Job Role: Data Engineer
Job Location: Media, PA (Need local Candidates )
Experience: 12+Years
Key Responsibilities:
Design, build, and maintain scalable data pipelines and ETL processes.
Work with large datasets to support reporting, analytics, and business decision-making.
Collaborate with cross-functional teams to understand data needs and deliver robust solutions.
Optimize and manage data warehouse architecture, especially in Snowflake.
Ensure data quality, security, and performance across all data systems.
Requirements:
Proven experience as a Data Engineer or in a similar role.
Strong expertise in Snowflake, SQL, and data warehouse technologies.
Solid understanding of ETL processes and data pipeline development.
Ability to work in a hybrid setup and be available for an in-person interview in Media, PA.
Nice to Have:
Experience with additional cloud platforms (AWS, GCP, or Azure).
Familiarity with data modeling and performance tuning
Please send your resume ASAP
