

E-IT
Senior Data Engineer with SAP SD (MUST)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with expertise in SAP SD, focusing on data warehouse development. It offers a remote position in the USA, with a contract length of "unknown," requiring advanced SQL skills and experience in ETL/ELT processes.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
May 27, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Integration #AWS (Amazon Web Services) #Data Pipeline #Data Warehouse #SQL Queries #dbt (data build tool) #SQL (Structured Query Language) #Data Processing #SAP #Snowflake #EDW (Enterprise Data Warehouse) #Azure #"ETL (Extract #Transform #Load)" #Cloud #Data Engineering #Data Extraction #Data Quality
Role description
Role: Sr. Data Engineer
Location: Remote (USA)
About the role
We are seeking a Senior Data Engineer with strong expertise in SAP sales data domains and data warehouse development. The ideal candidate will have deep proficiency in SQL, hands-on experience working with SAP data as source (orders, shipments, backlog, invoices), and the ability to design and build robust data pipelines and models.
Responsibilities :
• Design, develop, and maintain data pipelines for SAP sales data (orders, shipments, backlog, invoices)
• Translate SAP data structures into analytics-ready data models within Snowflake enterprise data warehouse
• Perform data extraction, transformation, and loading (ETL/ELT) from SAP into Snowflake medallion layers
• Build and optimize complex SQL queries for large-scale data processing
• Collaborate with business and analytics teams to ensure accurate representation of sales metrics
• Ensure data quality, consistency, and performance optimization across pipelines
• Support reporting and analytics use cases related to sales performance and operations
Key Skills:
• Strong SAP data expertise (SD module preferred) demonstrates deep understanding of: Sales Orders, Shipments / Deliveries, Backlog, Billing / Invoices
• Advanced SQL proficiency (must-have)
• Proven experience in data warehouse development (dimensional modeling, fact/dimension design, etc.)
• Experience as a Senior Data Engineer in enterprise environments
• Strong understanding of data integration patterns and ETL/ELT design
Nice to Have
• Experience with Snowflake, dbt
• Exposure to modern cloud data platforms (AWS/Azure)
Role: Sr. Data Engineer
Location: Remote (USA)
About the role
We are seeking a Senior Data Engineer with strong expertise in SAP sales data domains and data warehouse development. The ideal candidate will have deep proficiency in SQL, hands-on experience working with SAP data as source (orders, shipments, backlog, invoices), and the ability to design and build robust data pipelines and models.
Responsibilities :
• Design, develop, and maintain data pipelines for SAP sales data (orders, shipments, backlog, invoices)
• Translate SAP data structures into analytics-ready data models within Snowflake enterprise data warehouse
• Perform data extraction, transformation, and loading (ETL/ELT) from SAP into Snowflake medallion layers
• Build and optimize complex SQL queries for large-scale data processing
• Collaborate with business and analytics teams to ensure accurate representation of sales metrics
• Ensure data quality, consistency, and performance optimization across pipelines
• Support reporting and analytics use cases related to sales performance and operations
Key Skills:
• Strong SAP data expertise (SD module preferred) demonstrates deep understanding of: Sales Orders, Shipments / Deliveries, Backlog, Billing / Invoices
• Advanced SQL proficiency (must-have)
• Proven experience in data warehouse development (dimensional modeling, fact/dimension design, etc.)
• Experience as a Senior Data Engineer in enterprise environments
• Strong understanding of data integration patterns and ETL/ELT design
Nice to Have
• Experience with Snowflake, dbt
• Exposure to modern cloud data platforms (AWS/Azure)






