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Northrop Grumman · 1 hour ago

Data Engineer 2/3 - People Analytics - R10217513

United States

Full-time

Remote

Mid, Senior Level

$83K/yr - $125K/yr

2+ years exp

Northrop Grumman is a pioneering company that provides innovative solutions impacting lives globally. They are seeking a Data Engineer to join their Insights & Intelligence organization, responsible for maintaining HR data marts and ensuring data quality while translating complex HR data into actionable insights.

AerospaceData IntegrationManufacturingRemote SensingSecurity

Growth Opportunities

Responsibilities

Develop a strong understanding of Qualtric’s and Workday's core business processes and how changes in these processes directly impact data structures and downstream analytics

Focus on ensuring data quality and integrity for sensitive HR data. Work with other senior HR data engineers to define and validate key data fields from Workday, ensuring compliance and security standards are met

Code, test, and maintain ETL/ELT data pipelines using Python and SQL within the Databricks environment

Assist senior engineers in implementing foundational data models (e.g., employee dimensions, fact tables) that power analytical dashboards and support statistical analysis

Adhere strictly to defined standards for security and governance, paying close attention to the sensitivity of employee PII data

Support code reviews for members of People Analytics

Qualification

SQLPythonWorkdayData governanceCommunication skills

Required

Must have, at minimum, a Bachelor's degree in Computer Science, Software Engineering, or a related technical field

Must have, at minimum, 2 years of hands-on experience in data engineering or software development

Must be proficient in SQL and Python

Must have experience with Workday and the underlying data and structures

Must have excellent communication skills, with a proven ability to translate technical concepts and data requirements for non-technical partners (HR/Analysts)

Must have, at minimum, a Bachelor's degree in Computer Science, Software Engineering, or a related technical field

Must have, at minimum, 5 years of hands-on experience in data engineering or software development

Must be proficient in SQL and Python

Must have experience with Workday and the underlying data and structures

Must have excellent communication skills, with a proven ability to translate technical concepts and data requirements for non-technical partners (HR/Analysts)