Principal Data Engineer - Finance
Job
Northrop Grumman
Remote
$142,500 Salary, Full-Time
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Job Description
RELOCATION ASSISTANCE
No relocation assistance availableCLEARANCE REQUIRED FOR START
NoCLEARANCE TYPE
None TRAVEL:
Yes, 25% 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.
PLEASE NOTE
- This position will require a 'face to face' interview for selected applicants.
- Design & Deploy Pipelines
- Develop production‑grade data pipelines using Python/PySpark and SQL in Databricks to ingest, cleanse, and transform finance‑related data.
- Data Integration
- Build and sustain data pipeline processes from SAP ERP and other financial reporting systems.
- Data Modeling
- Convert high‑level design specs into physical, dimensional data models optimized for finance analytics (e.g., cost visibility, financial forecasting, earned value management).
- Reliability & Monitoring
- Proactively monitor pipeline health, troubleshoot production issues, and implement fixes to guarantee high data availability and accuracy for downstream reporting.
- Business Partnership
- Collaborate with senior engineers, finance analysts, and business partners to understand analytical needs and translate complex questions into technical solutions.
- Quality, Security & Governance
- Enforce data‑quality standards, security controls, and governance best practices; maintain thorough documentation and adhere to code‑quality guidelines.
Basic Qualifications:
- Candidates must have a either a Master's degree or a Bachelor's degree in Engineering, Computer Science, Software Engineering, or a similar related technical discipline
- 4 years of hands‑on data‑engineering experience is required
- 1 year focused on finance‑domain data analytics solutions is needed
- Proven experience extracting and integrating data from SAP ERP
- Experience with SQL and Python for data manipulation and transformation is needed
- Experience with Databricks or equivalent (example: Snowflake) is a must
Preferred Qualifications:
- The ideal candidate will have a Bachelor's degree in Data Science and 6 years of experience with finance‑domain data analytics solutions
- 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
- Comfortable working with Git (or comparable version‑control system) We offer flexible work arrangements, phenomenal learning opportunities, exposure to a wide variety of projects and customers, and a very friendly team environment.
Primary Level Salary Range:
$114,000.00- $171,000.
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