Data Engineer Supply Chain SAP MM PP

Highbrow LLC; Austin (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

A tech company in Austin is seeking a skilled Data Engineer with SAP MM and PP expertise to design and maintain data solutions. The candidate will optimize data processes and collaborate with teams on data strategies. Required qualifications include a relevant degree, problem-solving skills, and proficiency in Python, R, or SQL. This is a long-term W2 position on-site in Austin, Texas.

Qualifications

• Bachelor’s or Master’s degree in a relevant field.
• Strong problem-solving and analytical skills.
• Experience with SAP ERP systems including data extraction, analytics, and reporting.
• Proficiency in Python, R, or SQL.

Responsibilities

• Design, develop, and maintain SAP MM and PP data solutions.
• Troubleshoot and enhance SAP data processes.
• Collaborate with cross-functional teams for data integration.
• Monitor data pipelines performance and troubleshoot issues.

Skills

Data wrangling

Cleansing and transformation of inventory datasets

Scalable pipelines

API-based data access

Workflow automation

Strong problem-solving skills

Analytical skills

Proficiency in Python

Proficiency in R

Proficiency in SQL

Education

Bachelor’s or Master’s degree in engineering, Mathematics, Statistics, Computer Science, or related field

Tools

SAP ERP systems

Job description

Job Title :- Data Engineer Supply Chain SAP MM PP

Employment Type :- W2

Duration :- Long Term

Visa Type :- Green Card and US Citizens only

Location :- Austin, Texas (Onsite)

Job Description

We are seeking a highly skilled Data Engineer Supply Chain with SAP MM PP expertise. The ideal candidate will be responsible for Design, develop, and maintain SAP MM (Materials Management) and PP (Production Planning) data solutions to support business operations. Ensure data accuracy, integration, and optimization across SAP modules and related systems. Collaborate with cross-functional teams to implement data migration, transformation, and reporting strategies. Troubleshoot and enhance SAP data processes to improve efficiency and decision-making.

Key Responsibilities:

• Skilled in data wrangling, cleansing, and transformation of inventory-related datasets from SAP MM PP Modules. (2 years required.)
• Experience in building scalable pipelines, API-based data access, and workflow automation.
• Experience working with supply chain and operations teams to align data strategies with business objectives.
• Experience with inventory management, safety stock optimization, and SKU-level inventory flow analytics is a PLUS.
• Optimize application and data performance, responsiveness, and accessibility.
• Collaborate with cross-functional teams to ensure seamless integration between frontend and backend components.
• Monitor data pipelines performance, troubleshoot issues, and optimize system reliability.

Required skills and qualifications:

• Bachelor’s or Master’s degrees in engineering, Mathematics, Statistics, Computer Science, philosophy or a related field.
• Strong problem-solving and analytical skills.
• Entrepreneurial mindset with a strong sense of curiosity, proactiveness, and a self-starter
• Passion for data-driven decision-making and a desire to learn.
• Experience with SAP ERP systems, including data extraction, analytics, and reporting.
• Proficiency in Python, R, or SQL for data analysis and machine learning.