Codebase Inc
Sr/Lead Python with Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr/Lead Python Data Engineer in Santa Ana, CA, requiring 10-15 years of experience. Key skills include Python 3.x, Pandas, SQLAlchemy, ETL, Data Pipelines, and cloud platforms (AWS/Azure/GCP). Contract type is C2C or W2.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 11, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Santa Ana, CA
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #PySpark #AWS (Amazon Web Services) #API (Application Programming Interface) #NoSQL #SQLAlchemy #Cloud #Data Engineering #Azure #Microservices #Python #Pandas #Spark (Apache Spark) #Version Control #Data Pipeline #Migration #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Databases #NumPy #GIT #Pytest
Role description
Title : Sr/Lead Python with Data Engineer
Location : Santa Ana, CA (5days onsite)
Job Type : C2C or W2
Job Description:
• Overall, 10-15yrs experience is needed.
• Need Lead resources with heavy expertise Python 3.x along with Pandas, NuMPY, SQLAlchemy (One word), tenacity, polars, dask, pyspark.
• Experience in Data Engineering, ETL Processing/Microservices.
• Not in application side but in Data Side, like API, Data Pipelines, Code Migration, Any Cloud (AWS/Azure/GCP).
• Experience with Version Control (GIT), CI/CD pipelines, and testing frameworks (pytest/unit test). Databases (SQL/NoSQL).
Title : Sr/Lead Python with Data Engineer
Location : Santa Ana, CA (5days onsite)
Job Type : C2C or W2
Job Description:
• Overall, 10-15yrs experience is needed.
• Need Lead resources with heavy expertise Python 3.x along with Pandas, NuMPY, SQLAlchemy (One word), tenacity, polars, dask, pyspark.
• Experience in Data Engineering, ETL Processing/Microservices.
• Not in application side but in Data Side, like API, Data Pipelines, Code Migration, Any Cloud (AWS/Azure/GCP).
• Experience with Version Control (GIT), CI/CD pipelines, and testing frameworks (pytest/unit test). Databases (SQL/NoSQL).
