HYR Global Source Inc
Senior Data Engineer(Python + Databricks)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (Python + Databricks) in Austin, TX (Hybrid) for over 6 months, offering competitive pay. Key skills include advanced Python, Databricks, PySpark, ETL, and automotive data processing (MF4/MDF4).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 19, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Austin, TX
-
🧠 - Skills detailed
#Spark (Apache Spark) #Databricks #Data Pipeline #Data Processing #Data Engineering #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #Big Data #PySpark #Cloud #GCP (Google Cloud Platform) #Azure #Python #Delta Lake
Role description
Job Title: Senior Data Engineer (Python + Databricks)
Location: Austin, TX (Hybrid)
Job Type: Fulltime/ Contract
Role Summary
Hiring a Senior Data Engineer who can build and optimize large-scale data pipelines in Python and Databricks. The role focuses heavily on processing automotive/time-series data (MF4/MDF4) and delivering high-performance ETL workflows.
Top Required Skills
• Python (advanced)
• Databricks
• PySpark / Spark
• Delta Lake
• ETL / ELT pipelines
• Time-series data processing
• MF4 / MDF4 file formats (automotive data)
• Big data performance tuning
• Cloud experience (AWS / Azure / GCP)
Required Experience
• 5+ years in data engineering
• Strong experience in Python for large-scale data processing
• Hands-on Databricks + Spark development
• Experience designing high-throughput, fault-tolerant pipelines
• Cloud experience (AWS/Azure/GCP)
Follow us over Linkedin - https://www.linkedin.com/company/hyr-global-source-inc
To Get more job notifications
Job Title: Senior Data Engineer (Python + Databricks)
Location: Austin, TX (Hybrid)
Job Type: Fulltime/ Contract
Role Summary
Hiring a Senior Data Engineer who can build and optimize large-scale data pipelines in Python and Databricks. The role focuses heavily on processing automotive/time-series data (MF4/MDF4) and delivering high-performance ETL workflows.
Top Required Skills
• Python (advanced)
• Databricks
• PySpark / Spark
• Delta Lake
• ETL / ELT pipelines
• Time-series data processing
• MF4 / MDF4 file formats (automotive data)
• Big data performance tuning
• Cloud experience (AWS / Azure / GCP)
Required Experience
• 5+ years in data engineering
• Strong experience in Python for large-scale data processing
• Hands-on Databricks + Spark development
• Experience designing high-throughput, fault-tolerant pipelines
• Cloud experience (AWS/Azure/GCP)
Follow us over Linkedin - https://www.linkedin.com/company/hyr-global-source-inc
To Get more job notifications
