2

Remote Graph Database Jobs in Utah (NOW HIRING)

Exposure to graph databases and semantic modeling * Understanding of Model-Based Systems ... Location: Remote work is possible, but hybrid is preferred in one of our primary engineering ...

New

Remote Graph Database information

What is the difference between Remote Graph Database vs Remote Data Analyst?

AspectRemote Graph DatabaseRemote Data Analyst
Required CredentialsKnowledge of graph database systems, certifications like GraphDB or Neo4j certificationsDegree in Data Science, Statistics, or related fields; certifications like Microsoft Data Analyst or Tableau
Work EnvironmentPrimarily working with database management systems, query languages like Cypher, and data modelingAnalyzing datasets, creating reports, using tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, data-driven organizations, database service providersBusiness intelligence firms, marketing agencies, finance sectors
Search & Comparison IntentUnderstanding technical roles in database managementComparing data analysis roles and skills

Remote Graph Database specialists focus on managing and querying graph databases using specific tools and certifications, while Remote Data Analysts interpret data to provide insights using analytical tools. Both roles are essential in data-driven industries but differ in technical focus and daily tasks.

What are popular job titles related to Remote Graph Database jobs in Utah? For Remote Graph Database jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Graph Database jobs in Utah look for? The top searched job categories for Remote Graph Database jobs in Utah are:
What cities in Utah are hiring for Remote Graph Database jobs? Cities in Utah with the most Remote Graph Database job openings:

Simulation Integration Engineer

Xbow

Magna, UT • On-site, Remote

Full-time

Posted yesterday

New


Job description

About X-Bow:

X-Bow Systems is a cutting-edge aerospace technology company focused on revolutionizing solid propellant propulsion systems for space exploration and defense applications. Our team of innovative engineers and scientists is committed to pushing the boundaries of what's possible in rocket propulsion and manufacturing.

About the Role:

As part of the Digital Engineering team, you will play a critical role in connecting engineering analyses and simulations into our Digital Ecosystem. This position focuses on simulation integration and orchestration - working directly with design engineers across disciplines to link their tools, models, and workflows into a unified, change-aware digital engineering environment.
You will collaborate closely with domain experts, software engineering, and data engineering to create the infrastructure needed to improve designs, cut design cycle times, and strengthen the Systems Engineering discipline.

Responsibilities:
  • Collaborate with design engineers and analysts to document the inputs, outputs, and dependencies of analyses and simulations
  • Integrate engineering simulations and analysis tools into the digital ecosystem enabling data exchange, automation, and change awareness
  • Design and implement orchestration workflows to automate pre-processing, execution, and post-processing of simulations.
  • Troubleshoot and resolve software and integration issues within the digital ecosystem
  • Work closely with Data Engineering to ensure simulation parameters and metadata are correctly stored in Authoritative Sources of Truth (ASOT) and represented in a graph database (semantics modeling)
  • This role may expand to include aspects of digital twin, hardware-in-the-loop (HIL) and software-in-the-loop (SIL) design in the future
Required qualifications:
  • 5+ years of relevant experience in a fast-paced engineering environment
  • Strong engineering fundamentals
  • Demonstrated ability to integrate simulations across multiple frameworks
  • Knowledge of API design, data exchange standards, middleware development, engineering tool adapters ("wrappers"), etc.
  • Proficiency in Python and one or more compiled languages (i.e. C/C++)
  • Strong communication skills to lead initiatives with broad groups of stakeholders
Preferred Qualifications:
  • Exposure to graph databases and semantic modeling
  • Understanding of Model-Based Systems Engineering (MBSE)
  • Experience with workflow orchestration tools
  • Understanding of digital twin principles
  • Experience with hardware-in-the-loop (HIL) and/or software-in-the-loop (SIL)
  • Understanding of engineering lifecycles and systems engineering principles
Education:

Bachelor's degree or higher in Software Engineering, Computer Science or similar.

Location:

Remote work is possible, but hybrid is preferred in one of our primary engineering locations of Austin TX, Huntsville, AL or Salt Lake City UT.