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Northrop Grumman

Builds stealth bombers, missiles, and satellites

Principal Data Engineer/Senior Principal Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • For the Principal level, a bachelor's degree and 4 years of technical and/or engineering experience, a master's degree and 3 years of engineering experience, or a PhD and 0 years of experience are required.
  • For the Senior Principal level, a bachelor's degree and 8 years of engineering experience, a master's degree and 6 years of engineering experience, or a PhD and 4 years of engineering experience are required.
  • Ability to work first shift (5:00 a.m.–3:30 p.m.), second shift (4:12 p.m.–2:42 a.m.), and/or another work schedule as needed; times may vary.
  • Advanced experience using SQL, programming or automation, and relational data modeling to deliver production data products, applications, or platforms.
  • Experience defining and owning data architecture, including repositories, schemas, interfaces, integration patterns, metadata, lineage, data quality, and maintainability.
  • Demonstrated success delivering greenfield data solutions where platforms, standards, requirements, data contracts, or system endpoints were incomplete or did not exist.
  • Experience designing pipelines and integration approaches for complex data from multiple independently managed sources.
  • Experience establishing technical direction for ambiguous data problems and driving alignment across technical and operational stakeholders.
  • Ability to communicate architecture, performance, risks, dependencies, and tradeoffs to senior managers and technical stakeholders.
  • Ability to obtain and maintain a U.S. Government Secret or Top Secret clearance, as well as Program Special access, within a reasonable period determined by the company.
  • Ability to work at a workstation on a computer or similar device for up to 10 hours or the duration of a shift, and occasionally stand, bend, or kneel for extended periods.
  • Ability to travel at least 10%.
  • U.S. citizenship is required for positions with a government clearance and certain other restricted positions.

Responsibilities

  • Establish repositories, data models, and integration patterns for manufacturing data and the technical context required to support digitized processes.
  • Define the architecture, processes, and interfaces through which engineering and manufacturing teams provide, validate, relate, and maintain contextual data.
  • Align adjacent and independently managed data structures through authoritative sources, shared identifiers, mappings, semantics, relationships, and traceability.
  • Design resilient pipelines and data services that integrate manufacturing measurement, equipment, sensor, process, product-location, quality, engineering, and enterprise-system data.
  • Set technical direction for greenfield manufacturing-data solutions and communicate strategy, alternatives, risks, dependencies, and outcomes to senior leaders and technical stakeholders.

Desired Qualifications

  • A STEM degree in a related field.
  • Experience establishing data architecture across manufacturing measurement, equipment, sensor, process, product, quality, engineering, program, and enterprise-system domains.
  • Experience aligning independently managed structures through authoritative sources, shared identifiers, mappings, semantic models, relationships, stewardship, and traceability.
  • Experience designing scalable approaches for high-volume, high-frequency, time-dependent, spatial, or otherwise complex technical data.
  • Experience developing data services, APIs, or application interfaces that allow domain teams to provide and maintain contextual data.
  • Experience with Python, Microsoft SQL Server, Apache Airflow, Git-based development, automated testing, continuous integration and continuous delivery, monitoring, or production operations. Python and Airflow are preferred for alignment with the current team and infrastructure, but comparable programming and orchestration experience is acceptable.
  • Experience incorporating relevant information from engineering documents, work instructions, or other unstructured technical sources without making document parsing the primary solution focus.
  • Experience leading architecture reviews, mentoring technical contributors, and raising data-engineering maturity across an organization.
  • Experience partnering with enterprise organizations while independently defining and advancing local manufacturing-data needs when enterprise support or platforms are immature.
  • Active U.S. Government Secret or higher security clearance.

About the Company

Northrop Grumman

Builds stealth bombers, missiles, and satellites

Northrop Grumman builds military aircraft, missiles, rocket motors, satellites, and electronic systems, mostly for the American military and allied governments. It designed the B-2 stealth bomber and built NASA's James Webb Space Telescope, the largest telescope ever sent to space. The company works through four businesses: aircraft, missiles and ammunition, radar and communications systems, and space hardware such as satellites and solid rocket boosters. Most revenue comes from long-term government contracts, many of them classified. Its roots go back to Northrop Aircraft, founded in 1939, and it took its name after buying Grumman in 1994 and is based in Falls Church, Virginia.

Company size
10,001+
Company stage
IPO
Headquarters
Falls Church, VA
Founded
1939

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