Data Engineer (Principal Level)

$97,500 - $146,300/Yr

Northrop Grumman

posted 4 days ago

Full-time - Principal
11-50 employees
Computer and Electronic Product Manufacturing

About the position

Northrop Grumman is seeking a Principal Data Engineer to join their Enterprise Insights & Analytics organization. This role focuses on designing, developing, and maintaining scalable data architecture solutions to support data-driven decision-making. The position involves collaboration with various teams to gather requirements and translate them into actionable data solutions, while also ensuring the integrity and accessibility of the organization's databases.

Responsibilities

  • Design, develop, test, and deploy scalable data architecture solutions.
  • Research, evaluate, and determine best fit of tools and techniques for data mapping, data mining, data transformation, and data integration.
  • Develop complex queries or routines to extract data from disparate sources.
  • Develop and troubleshoot SQL code, stored procedures, functions, tables, and views.
  • Collaborate with external teams to understand systems and align on data and system requirements.
  • Consult with customers and stakeholders to define data needs, gather requirements, and translate them into actionable solutions.
  • Regularly update leadership and stakeholders on project status, challenges, and outcomes to ensure alignment with strategic objectives.

Requirements

  • Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university and 6 years of data analytics or data engineering experience; OR a Master's degree with 4 years' experience.
  • Relevant experience in manufacturing engineering.
  • Work experience in multiple SQL dialects with querying, scripting, and automation.
  • Experience in Extraction Transform Load (ETL) and data migration.
  • Experience with SAP / Costpoint systems.

Nice-to-haves

  • Experience with Production Scheduling.
  • Degree in Software Engineering, Computer Science or Data Science.
  • Working knowledge in programming languages such as Python, R or Spark.

Benefits

  • Health insurance coverage
  • Life and disability insurance
  • Savings plan
  • Company paid holidays
  • Paid time off (PTO) for vacation and/or personal business
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