Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Palmdale, CA, US; El Segundo, CA, US
Actively hiring, first seen by us 6 days ago* 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, CI/CD, monitoring, or production operations. Python and Airflow are preferred because they align 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 Primary Level Salary Range: $114,000.00 - $171,000.00 Secondary Level Salary Range: $142,200.00 - $213,400.00
Primary Level Salary Range: $114,000.00 - $171,000.00 Secondary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Read the full posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
This position requires the ability to obtain and maintain a US Government Secret or Top-Secret Clearance as well as Program Special access within a reasonable period, as determined by the company to meet its business needs
Establish data repositories, data models, and integration patterns for manufacturing data
Design resilient pipelines that integrate manufacturing, sensor, quality, and enterprise data
Define architecture and interfaces for engineering and manufacturing contextual data
Align independently managed data structures through shared identifiers and mappings
Set technical direction for greenfield manufacturing-data solutions and brief senior leaders
Establish repositories, data models, and integration patterns for manufacturing data
Design resilient pipelines and data services that integrate manufacturing measurement, equipment, sensor, process, product-location, quality, engineering, and enterprise-system data
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
Set technical direction for greenfield manufacturing-data solutions and communicate strategy, alternatives, risks, dependencies, and outcomes to senior leaders and technical stakeholders
* 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, CI/CD, monitoring, or production operations. Python and Airflow are preferred because they align 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
Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 6
Similar jobs usually come down between day 6 and day 54.
From 10,824 similar postings that came down. Coming down is not always a hire.
21 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Preferred Qualifications: * 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, CI/CD, monitoring, or production operations. Python and Airflow are preferred because they align 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 Primary Level Salary Range: $114,000.00 - $171,000.00
Basic Qualifications for: Principal Data Engineer: * Bachelor’s degree with 4 years of technical and/or engineering experience, or a Master’s degree with 3 years of engineering experience, or PhD with 0 years of experience * Ability to work 1st shift "5am-3:30pm" or 2nd shift "4:12pm-2:42am" and/or any work schedule (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 * This position requires the ability to obtain and maintain a U.S. Government Secret or Top-Secret Clearance as well as Program Special access within a reasonable period, as determined by the company to meet its business needs * Ability to work for extended periods of time at a workstation on a computer or similar device for up to 10 hours / duration of shift. Occasional extended periods of standing, bending, kneeling * Ability to travel at least 10% Basic Qualifications for: Sr. Principal Data Engineer:
Basic Qualifications for: Sr. Principal Data Engineer: * Bachelor’s degree with 8 years of engineering experience, or a Master’s degree with 6 years of engineering experience, or PhD with 4 years of engineering experience * Ability to work 1st shift "5am-3:30pm" or 2nd shift "4:12pm-2:42am" and/or any work schedule (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 * This position requires the ability to obtain and maintain a U.S. Government Secret or Top-Secret Clearance as well as Program Special access within a reasonable period, as determined by the company to meet its business needs * Ability to work for extended periods of time at a workstation on a computer or similar device for up to 10 hours / duration of shift. Occasional extended periods of standing, bending, kneeling * Ability to travel at least 10% Preferred Qualifications:
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Primary Level Salary Range: $114,000.00 - $171,000.00 Secondary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
More relevant text appears in the full description.
Palmdale, CA, US; El Segundo, CA, US
This passage needs a closer read in the full description.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
More relevant text appears in the full description.