Model-Based Systems Engineer (Data Engineering)
$39 - $50 per hourActalent
Job Description
Job Description
Job Title: Model-Based Systems Engineer (Data Engineering)
Job Description
We are seeking a Model-Based Systems Engineer with a strong foundation in data engineering principles to join a dynamic team working on complex, data-driven systems. In this role, you apply model-based systems engineering (MBSE) methodologies to analyze, trace, and align intricate data requirements between government and client systems. You operate at the intersection of systems modeling and data architecture, ensuring that data flows, transformations, and system behaviors are accurately represented, validated, and communicated to stakeholders.
Responsibilities
- Develop and maintain MBSE models that represent data pipelines, data flows, and system interactions, enabling traceability between government and client requirements and System Component Specification Models (CSMs), with a focus on data ingestion, transformation, storage, and access layers.
- Identify gaps between data-related requirements and system components, particularly in areas involving data integration, ETL processes, and schema alignment, and recommend solutions to close those gaps.
- Conduct standalone analysis projects involving data lineage, metadata management, and system interoperability to support robust and transparent data architectures.
- Reconcile discrepancies between different sets of data requirements, ensuring data quality, consistency, and compliance across multiple systems and interfaces.
- Collaborate with technical and non-technical stakeholders to communicate insights related to data architecture, system interfaces, and information models in a clear and accessible manner.
- Manage multiple projects involving data-centric system models, prioritizing tasks and ensuring timely delivery with high technical accuracy.
- Apply MBSE best practices to support continuous improvement of data modeling, system specification, and requirements management processes.
- Support the integration of avionics or mission systems data, focusing on data exchange, telemetry, and distributed data architectures where applicable.
Essential Skills
- Bachelors or Masters degree in Systems Engineering, Data Engineering, Computer Science, or a related technical field.
- 3+ years of experience in MBSE modeling, including exposure to data-centric system design and requirements analysis.
- Proficiency in Cameo Systems Modeler or similar MBSE tools for building and maintaining system models.
- Experience with requirements analysis and traceability within complex, data-driven systems.
- Familiarity with data modeling concepts, including entity-relationship modeling, data dictionaries, and data governance practices.
- Strong communication skills, with the ability to explain complex data flows and system interactions clearly to diverse stakeholders.
- Analytical mindset with a proactive approach to identifying and resolving data integration and modeling challenges.
- Experience working with ETL processes and data engineering principles.
- Ability to work effectively in a multidisciplinary environment involving systems engineering and data engineering.
- Attention to detail when documenting models, requirements, and data specifications.
Additional Skills & Qualifications
- Experience with data pipelines, ETL tools, or data orchestration frameworks such as Apache NiFi or Airflow.
- Familiarity with data standards and certification processes, including frameworks such as ISO 8000 and other data compliance standards.
- Knowledge of avionics or mission systems, with a focus on data exchange, telemetry, and integration of flight or mission data.
- Experience with networked systems, Time-Sensitive Networking (TSN), or distributed data architectures.
- Experience in data engineering for complex, safety-critical or regulated systems.
- Experience collaborating with government or regulated industry stakeholders on data and systems requirements.
- Ability to contribute to continuous improvement of MBSE practices and tooling within a team environment.
Work Environment
This role is based onsite at an advanced aerospace and defense facility in Fort Worth, Texas. You work in a highly technical, collaborative environment alongside systems engineers, data engineers, and domain experts focused on complex, mission-critical systems. The workplace emphasizes the use of modern MBSE tools such as Cameo Systems Modeler, data engineering technologies for pipelines and ETL, and architectures supporting avionics, mission systems, and distributed data. You can expect a professional setting with structured processes, access to specialized engineering tools and secure systems, and close coordination with cross-functional teams. Typical working hours follow a standard full-time schedule, with on-site presence supporting direct collaboration, design reviews, and model walkthroughs in a secure facility.
Job Type & LocationThis is a Contract position based out of Fort Worth, TX.
Pay and BenefitsThe pay range for this position is $39.00 - $50.00/hr.
Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)
Job Type & LocationThis is a Contract position based out of Fort Worth, TX.
Application DeadlineThis position is anticipated to close on Oct 30, 2026.
Workplace TypeThis is a fully onsite position in Fort Worth,TX.
About Actalent
Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email View email address on ziprecruiter.com for other accommodation options.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
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