Principal Data Engineer

Northrop Grumman

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Falls Church, VA
Salary
$103,600–$155,400 / yr
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $189k
This role $130k
$88k most similar roles pay here $251k

This role pays less than 88% of similar roles. Most pay $162,000–$216,300 — the shaded band above. At the midpoint, this role pays about $130k versus about $189k for comparable roles.

Based on 240 similar postings.

Employer

About Northrop Grumman

Northrop Grumman is a leading global aerospace and defense technology company providing systems in autonomous systems, cyber, C4ISR, space, strike, and logistics. Industry: Aerospace & Defense

Northrop Grumman currently has 359 open roles on FindRole.

Listed pay typically runs $114,000–$171,650 across 346 roles with salary data.

Most-posted roles

View all roles at Northrop Grumman

At a glance

TL;DR · Principal Data Engineer

Principal Data Engineer joins the Enterprise Data Delivery Team within the Insights & Intelligence organization to support critical business initiatives through SAP HANA reporting solutions. This role involves analyzing, designing, developing, and supporting data products for fast-paced special projects while building reusable components and sharing architectural best practices. The daily responsibilities include creating HANA Calculation views, developing interactive visualizations using Business Objects or PowerBI, performing data validation, and providing end-user training. Key technical requirements include proficiency in SQL, S/4 Embedded Analytics, and Business Objects Analysis Office/WEBI. Preferred skills include experience with Databricks, Python, and SAP Cloud solutions. The role focuses on solving business problems by translating strategic questions into data pipelines and identifying reporting gaps to expand analytics capabilities within the CIDO platform through technical consulting and domain-driven data ownership concepts.

What does a Data Engineer earn in Virginia?

Median $211200 from 87 postings across 7 companies.

See salary data

What you'll do

  • Analyze, design, develop, and support SAP HANA solutions for special projects.
  • Lead the development of data products and reusable components for the enterprise data platform.
  • Translate strategic business questions into technical data products and pipelines with stakeholders.
  • Build Business Intelligence solutions using Business Objects and PowerBI to enable informed decision-making.
  • Develop and enhance HANA Calculation views to meet specific business requirements.
  • Perform data validation on HANA views and reports before production deployment.
  • Create metadata documentation, design specifications, and technical testing documents.
  • Provide end-user training and demonstrations to showcase reporting tools and capabilities.

What we're looking for

  • Bachelor's degree in a related discipline and at least 5 years of relevant professional experience (or 3 years with a Master's degree).
  • At least 2 years of experience with the design, development, and maintenance of HANA development and Business Objects, PowerBI, and/or Tableau Reporting solutions.
  • Minimum of 2 years of demonstrated SQL experience.
  • Experience mapping business or functional requirements into technical designs and solutions.
  • Knowledge and development experience in HANA Calculation Views, Scripts, and Business Objects (Analysis Office/WEBI).
  • Ability to develop and demo S/4 Embedded Analytics.
  • U.S. Citizenship is required for the position.
  • Must be able to obtain and maintain a Secret security clearance.
  • Knowledge or experience with SAP Cloud solutions, Databricks, PowerBI/Tableau, and Python (preferred).
  • Experience with S/4 Embedded Analytics reporting features and large S/4 projects (preferred).
  • Knowledge of SAP methodology, Agile methodology, and domain-driven data ownership concepts (preferred).

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