Lead Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer in Santa Ana, CA, for 1 year, requiring 10-15 years of experience. Key skills include Python 3.x, Pandas, SQL Alchemy, ETL processing, and cloud services (AWS/Azure/GCP).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 24, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Santa Ana, CA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Cloud #Data Pipeline #Python #Pytest #GIT #SQL (Structured Query Language) #Data Engineering #Microservices #Azure #Pandas #PySpark #Version Control #Spark (Apache Spark) #Databases #NoSQL #API (Application Programming Interface) #Migration #AWS (Amazon Web Services) #GCP (Google Cloud Platform)
Role description
Title : Lead Data Engineer
Location: Santa Ana, CA (5days onsite)
Duration : 1 Year
Job Description:
• Overall, 10-15yrs experience is needed.
• Need Lead resources with heavy expertise Python 3.x along with Pandas, NYMPY, SQL Alchemy (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 : Lead Data Engineer
Location: Santa Ana, CA (5days onsite)
Duration : 1 Year
Job Description:
• Overall, 10-15yrs experience is needed.
• Need Lead resources with heavy expertise Python 3.x along with Pandas, NYMPY, SQL Alchemy (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).
