Prosum
Data Engineer (BI, Python, ETL)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (BI, Python, ETL) with a contract length of "unknown" and a pay rate of "unknown." It requires 2-3 days/week onsite in Manhattan Beach, focusing on BI, ETL, and cloud data platforms like AWS or GCP.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
December 2, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Manhattan Beach, CA
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🧠 - Skills detailed
#Data Warehouse #BI (Business Intelligence) #GCP (Google Cloud Platform) #Azure #Data Pipeline #Scala #Data Engineering #Datasets #Data Science #"ETL (Extract #Transform #Load)" #Snowflake #SQL (Structured Query Language) #Data Quality #Python #Documentation #AWS (Amazon Web Services) #Cloud
Role description
2-3 days/week onsite in Manhattan Beach
Job Description:
We are seeking a skilled Data Engineer with strong experience in business intelligence (BI) and data warehouse development to join our team. In this role, you will design, build, and optimize data pipelines and warehouse architectures that support analytics, reporting, and data-driven decision-making. You will work closely with analysts, data scientists, and business stakeholders to ensure reliable, scalable, and high-quality data solutions.
Responsibilities:
• Develop and maintain ETL/ELT pipelines for ingesting, transforming, and delivering data.
• Design and enhance data warehouse models (star/snowflake schemas) and BI datasets.
• Optimize data workflows for performance, scalability, and reliability.
• Collaborate with BI teams to support dashboards, reporting, and analytics needs.
• Ensure data quality, governance, and documentation across all solutions.
Qualifications:
• Proven experience with data engineering tools (SQL, Python, ETL frameworks).
• Strong understanding of BI concepts, reporting tools, and dimensional modeling.
• Hands-on experience with cloud data platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent problem-solving skills and ability to work in a cross-functional environment.
2-3 days/week onsite in Manhattan Beach
Job Description:
We are seeking a skilled Data Engineer with strong experience in business intelligence (BI) and data warehouse development to join our team. In this role, you will design, build, and optimize data pipelines and warehouse architectures that support analytics, reporting, and data-driven decision-making. You will work closely with analysts, data scientists, and business stakeholders to ensure reliable, scalable, and high-quality data solutions.
Responsibilities:
• Develop and maintain ETL/ELT pipelines for ingesting, transforming, and delivering data.
• Design and enhance data warehouse models (star/snowflake schemas) and BI datasets.
• Optimize data workflows for performance, scalability, and reliability.
• Collaborate with BI teams to support dashboards, reporting, and analytics needs.
• Ensure data quality, governance, and documentation across all solutions.
Qualifications:
• Proven experience with data engineering tools (SQL, Python, ETL frameworks).
• Strong understanding of BI concepts, reporting tools, and dimensional modeling.
• Hands-on experience with cloud data platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent problem-solving skills and ability to work in a cross-functional environment.
