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Aerospace Data Science Jobs in Texas (NOW HIRING)

... in Computer Science, Data Science, or a related technical field * Strong Python skills and ... Experience analyzing data from fielded physical products such as aerospace systems, automotive ...

Mgr II- Eng SW

Austin, TX · On-site

$136K - $231K/yr

Data science and AI/ML expertise is also beneficial. You will be capable of operating at all levels ... S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which ...

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Aerospace Data Science information

See Texas salary details

$20.7K

$97.3K

$180.3K

How much do aerospace data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for aerospace data science in Texas is $97,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,127.00 and $135,872.00 per year, depending on experience, location, and employer.

What is an aerospace data science?

An Aerospace Data Science job involves applying data science techniques to analyze, interpret, and optimize aerospace systems. Professionals in this field work with large datasets from satellites, flight sensors, simulations, and maintenance logs to improve aircraft performance, safety, and efficiency. They use machine learning, statistical modeling, and AI to support decision-making in areas like predictive maintenance, navigation, and space exploration. The role requires expertise in both aerospace engineering principles and data science methodologies.

What types of projects do aerospace data science professionals typically work on?

As an Aerospace Data Science professional, you may work on a wide range of projects including optimizing flight operations, predicting maintenance needs through data analytics, analyzing sensor data from aircraft or spacecraft, and enhancing safety or performance using machine learning models. You'll often collaborate with engineers, pilots, and software developers to translate large datasets into actionable insights. Depending on the organization, your work could involve designing and implementing algorithms, automating processes, or improving simulation accuracy for research and development. This dynamic role offers the opportunity to contribute to technology advancements and directly impact operational efficiency and safety in the aerospace sector.

What are the key skills and qualifications needed to thrive in aerospace data science, and why are they important?

Aerospace Data Science professionals require strong analytical skills, experience with statistical modeling, machine learning, and a solid background in aerospace engineering or a related technical field. Proficiency in programming languages such as Python or MATLAB, familiarity with data visualization tools, and knowledge of aerospace data systems like flight data recorders or simulation platforms are highly valued. Excellent problem-solving abilities, clear communication, and the ability to collaborate across multidisciplinary teams set candidates apart. These competencies enable effective interpretation of complex aerospace data, drive innovation, and support critical decision-making in a highly technical industry.

What are the most commonly searched types of Aerospace Data Science jobs in Texas?

The most popular types of Aerospace Data Science jobs in Texas are:

What job categories do people searching Aerospace Data Science jobs in Texas look for?

The top searched job categories for Aerospace Data Science jobs in Texas are:

What cities in Texas are hiring for Aerospace Data Science jobs?

Cities in Texas with the most Aerospace Data Science job openings:

Infographic showing various Aerospace Data Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $97,283 per year, or $46.8 per hour.

GNC Engineer III (Navigation), Eclipse

Firefly Aerospace

Cedar Park, TX • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 27 days ago


Firefly Aerospace rating

6.9

Company rating: 6.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

65th of 72 rated aerospace companies


Job description

ABOUT FIREFLY AEROSPACE
Firefly Aerospace is a space and defense technology company on a mission to reliably and repeatedly launch, land, and operate space systems from Earth to the Moon and beyond. As the partner of choice for critical space missions, Firefly is the first commercial company to launch a satellite to orbit with 24-hour notice and the first company to achieve a successful Moon landing. Headquartered in north Austin, Texas, Firefly is looking for passionate, hardworking innovators to join our team and help fuel our successful trajectory into space.
SUMMARY
As a Senior GNC Engineer specializing in navigation and estimation at Firefly, you will design and implement navigation systems and state estimation algorithms for operational launch vehicles. In this role, you will develop and tune navigation filters and sensor fusion algorithms, support hardware-in-the-loop testing and system integration, and provide technical leadership while collaborating with multidisciplinary teams. This position combines advanced estimation theory, real-time embedded systems development, and hands-on flight operations support while mentoring junior engineers in a fast-paced operational environment.
RESPONSIBILITIES
  • Design, analyze, and tune launch vehicle navigation software to ensure accurate state estimation from launch to orbit
  • Implement advanced filtering techniques using inertial sensor and GNSS measurements
  • Develop navigation systems robust to error sources including inertial sensor bias, GNSS signal degradation, noise, and sensor misalignments
  • Establish technical standards and validation methodologies for navigation system design, software development, and hardware-in-the-loop testing
  • Conduct covariance analysis, sensitivity studies, and performance optimization for navigation systems under nominal and off-nominal flight conditions
  • Support hardware-in-the-loop test campaigns for integrated GNC systems including navigation algorithm validation, flight software verification, and system-level performance testing
  • Drive resolution of complex GNC challenges requiring deep technical expertise and rapid problem-solving
  • Provide technical direction on system architecture and serve as subject matter expert for launch vehicle state estimation
  • Mentor junior engineers in estimation theory and flight software development
  • Author technical documentation and analysis reports that communicate GNC concepts and results to diverse audiences
  • Interface with cross-discipline teams to integrate navigation software with vehicle hardware
  • Serve as a GNC console operator for launch operations and perform post-flight analysis to improve vehicle models
  • Champion continuous improvement initiatives for GNC processes, tools, and operational efficiency
QUALIFICATIONS
Required
  • Bachelor's degree in aerospace engineering, mechanical engineering, electrical engineering, computer science, or related field
  • 5-10 years of experience in launch vehicle GNC systems with significant depth in navigation system design or flight software development
  • Advanced knowledge of state estimation techniques including Kalman filtering, sensor fusion, and covariance analysis
  • Strong understanding of inertial navigation systems, GNSS processing, and navigation sensor error modeling
  • Expertise in real-time software development using C++ for flight-critical applications
  • Experience developing high-fidelity sensor models and navigation system testbeds
  • Proficiency in hardware-in-the-loop testing and requirement verification for flight-critical systems
  • Understanding of software development best practices including version control (Git), code documentation, and testing
  • Excellent communication and presentation skills
Desired
  • Master's degree or PhD in aerospace engineering, electrical engineering, applied mathematics, or related field
  • Experience developing custom navigation or state estimation algorithms for launch vehicle applications
  • Expertise in advanced filtering techniques such as unscented Kalman filters, particle filters, or adaptive estimation methods
  • Hands-on experience with launch vehicle sensor systems including fiber optic gyros, ring laser gyros, MEMS IMUs, and GNSS receivers
  • Advanced knowledge of launch vehicle flight mechanics and high-fidelity modeling of gravity, aerodynamics, and propulsion
  • Advanced knowledge of attitude dynamics and control theory, including rotational dynamics, attitude representations, control moment generation, and stability analysis
  • Experience with modern flight software frameworks and real-time operating systems
  • Software engineering expertise with proficiency in development practices including version control, code review, testing, documentation, and CI/CD workflows
  • Proficiency in Python for scripting, data analysis, and automation
  • Working knowledge of launch vehicle systems and mission operations
  • Proven ability to develop junior engineers while managing technical responsibilities
  • Track record of thought leadership through publications, presentations, or contributions to industry state-of-the-art

Firefly offers outstanding benefits for our employees, including generous health, dental and vision plans with low plan deductibles, parental leave, educational reimbursement, short term disability, and flexible PTO options.
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Firefly Aerospace, Inc. is an Equal Opportunity Employer; employment with Firefly is governed based on merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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