Data Engineer 3/4- Supply Chain Analytics

RELOCATION ASSISTANCE: No relocation assistance available

CLEARANCE TYPE: None

TRAVEL: Yes, 10% of the Time

Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Join our Insights & Intelligence (i2) organization to contribute directly to our supply chain analytics team. As a Principal Data Engineer, you will be essential in building, maintaining, and optimizing the data pipelines that deliver clean, reliable information from our enterprise systems, particularly SAP, to power mission-critical supply chain analytics.  This role is 100% virtual/work from home.

Key Responsibilities

• Pipeline Execution: Design, code, test, and deploy production-grade data pipelines using Python/PySpark and SQL within the Databricks environment to ingest and transform Supply Chain data.
• SAP Integration: Implement and maintain data extraction processes from SAP ERP systems, focusing on supply chain areas
• Data Modeling: Translate high-level design specifications into physical data models and structures, ensuring the effective implementation of dimensional data models tailored for Supply Chain analytics.
• Data Reliability: Actively monitor pipeline health, troubleshoot production issues, and execute necessary fixes to ensure high data availability and accuracy for downstream reporting and analytics.
• Business Translation: Partner with Senior Engineers and Supply Chain analysts to understand their data needs, assisting in translating complex business questions related to demand planning, inventory, and logistics into specific data requirements.
• Quality & Governance: Adhere strictly to defined standards for data quality, security, and governance protocols, including proper documentation and adherence to established code quality practices.
• This role can be performed by a level 3 (mid-career) or level 4 (senior-career) professional.

Basic Qualifications for level 3:

• Must have, at minimum, a Bachelor’s degree in Engineering, Computer Science, Software Engineering, or a related technical field.
• Minimum of 5 years of hands-on experience in Data Engineering or a related technical field.
• Minimum of 1 year of experience working in Supply Chain, Logistics, or Manufacturing domains.
• Hands-on experience developing data integrations from SAP ERP systems, demonstrating a foundational understanding of relevant SAP data structures.
• Proficiency in SQL and Python for data manipulation and transformation.
• Direct experience with cloud-based platforms such as Databricks and AWS.
•  Proven experience working within a team using version control systems (e.g., Git) and following agile development practices.

Basic Qualifications for level 4:

• Must have, at minimum, a Bachelor’s degree in Engineering, Computer Science, Software Engineering, or a related technical field.
• Minimum of 8 years of hands-on experience in Data Engineering or a related technical field.
• Minimum of 1 year of experience working in Supply Chain, Logistics, or Manufacturing domains.
• Hands-on experience developing data integrations from SAP ERP systems, demonstrating a foundational understanding of relevant SAP data structures.
• Proficiency in SQL and Python for data manipulation and transformation.
• Direct experience with cloud-based platforms such as Databricks and AWS.
• Proven experience working within a team using version control systems (e.g., Git) and following agile development practices.

Preferred Qualifications:

• Strong working knowledge of dimensional modeling principles.
• Familiarity with specific SAP data models and modules.
• Understanding of fundamental data governance and Master Data Management (MDM) concepts.

Primary Level Salary Range: $103,600.00 - $155,400.00

Secondary Level Salary Range: $129,300.00 - $193,900.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.