Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 8+ years of experience in Python and Databricks, requiring strong AWS knowledge, PySpark expertise, SQL skills, and familiarity with Tableau. The position is 100% onsite in Philadelphia, PA.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
August 7, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
On-site
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Philadelphia, PA
-
🧠 - Skills detailed
#Lambda (AWS Lambda) #Spark (Apache Spark) #SQL (Structured Query Language) #Oracle #S3 (Amazon Simple Storage Service) #Databricks #Data Analysis #Python #Tableau #AWS (Amazon Web Services) #Visualization #Data Pipeline #Data Engineering #PySpark #"ETL (Extract #Transform #Load)" #MongoDB #Datasets #Scala #Databases
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
• We are seeking a highly experienced Senior Data Engineer with 8+ years of hands-on expertise in Python and Databricks for a 100% onsite role in Philadelphia, PA.
• The ideal candidate must have strong working knowledge of AWS services, including S3, Glue, Lambda, and EMR.
• Experience in PySpark is essential for managing and transforming large datasets.
• Strong SQL skills are required for data analysis and pipeline development.
• Familiarity with Tableau for data visualization and reporting is preferred.
• Hands-on experience with MongoDB and Oracle databases is desirable.
• Must be capable of designing, building, and optimizing scalable data pipelines.
• Strong communication, problem-solving, and stakeholder collaboration skills are essential.
