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Decision Engineer Jobs in Rosharon, TX (NOW HIRING)

Collaborate with Product Management, Engineering, and Support to relay customer feedback and ... Experience supporting proofs of concept, evaluations, and technical decision processes * Ability to ...

Sr. Mechanical Project Engineer

Houston, TX · On-site

$101K - $133K/yr

As a Senior Mechanical Engineer at LJA Energy , you will lead and be accountable for mechanical ... Prior involvement in staff planning, performance evaluations, and personnel decision-making * NCEES ...

Sr. Mechanical Project Engineer

Houston, TX

$101K - $133K/yr

As a Senior Mechanical Engineer at LJA Energy , you will lead and be accountable for mechanical ... Prior involvement in staff planning, performance evaluations, and personnel decision-making * NCEES ...

AWS Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Technical leadership • Author and maintain solution design documents, architectural decision ... Mentor engineers toward a higher standard rather than correcting output after the fact. • Break ...

Organized and efficient execution of assigned deliverables through timely and correct decision ... Engineer position may require periods of extended travel to domestic or international rig locations ...

Showing results 41-60

Decision Engineer information

See Rosharon, TX salary details

$32.7K

$96K

$123K

How much do decision engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for decision engineer in Rosharon, TX is $95,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $121,700.00 per year, depending on experience, location, and employer.

What is a decision engineer?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

How does a decision engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

What are the key skills and qualifications needed to thrive as a decision engineer, and why are they important?

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What cities near Rosharon, TX are hiring for Decision Engineer jobs?

Cities near Rosharon, TX with the most Decision Engineer job openings:

Senior Sales Engineer

Houston, TX • On-site

Other

Posted 25 days ago


Job description

  • Drive new customer and expansion opportunities by articulating Cohesity’s Data Cloud portfolio, including backup, recovery, cyber resilience, and data security management capabilities
  • Provide tailored technical support throughout the sales cycle, including discovery, solution design, demonstrations, and proofs of concept
  • Support technical strategy for enterprise opportunities with the Account Executive, contributing to deal progression and win strategy
  • Enable customers to integrate Cohesity products into existing production environments
  • Respond to technical requests in a timely and professional manner
  • Lead and support product demonstrations, workshops, white papers, proposals, and evaluations
  • Identify customer requirements and risk areas and help shape proofs of concept
  • Assist with competitive displacement conversations and position Cohesity effectively
  • Collaborate with Product Management, Engineering, and Support to relay customer feedback and contribute to product improvements
  • Provide post-sales technical assistance or project support when needed to ensure successful outcomes and customer satisfaction
Requirements
  • Proven experience in pre-sales Sales Engineering or Solutions Consulting supporting infrastructure, data protection, security, or cloud platforms in enterprise environments
  • Hands-on experience with backup, recovery, data protection, storage, or cyber resilience technologies across on-prem, hybrid, and cloud architectures
  • Working knowledge of data security concepts, including ransomware resilience, immutable storage, encryption, and access controls
  • Familiarity with competitive technologies and interest in developing competitive positioning skills
  • Experience supporting proofs of concept, evaluations, and technical decision processes
  • Ability to translate technical architecture into clear customer value and business outcomes
  • Experience partnering with Account Executives to support complex, multi-stakeholder sales cycles
  • Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making
  • Understanding of enterprise buying processes and deal dynamics
  • Strong communication and presentation skills for business and technical audiences
  • Collaborative mindset and ability to manage complex customer situations professionally and confidently
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
  • Industry certifications in cloud, data, or adjacent technologies are a plus
  • Must have English language proficiency for professional speaking, reading, and writing
  • Willingness to travel as required
  • Candidates outside the designated area must be committed to relocating before their start date and have the legal right to work in the job location
Core Competencies

Demonstrates expertise in pre-sales engineering and solutions consulting, with a strong focus on data protection, backup, recovery, and cyber resilience technologies. Proven ability to articulate technical solutions and drive customer success through effective collaboration and communication.

Highest-signal resume keywords
  • Pre-Sales Engineering Experience
  • Data Protection Technologies
  • Cyber Resilience Knowledge
  • Technical Presentation Skills
  • AI Tools Utilization
ATS Optimization Keywords Hard Skills
  • Backup Technologies
  • Recovery Solutions
  • Data Protection
  • Storage Solutions
  • Cloud Architectures
  • Ransomware Resilience
  • Immutable Storage
  • Encryption
  • Access Controls
  • Proofs of Concept
Soft Skills
  • Strong Communication Skills
  • Collaborative Mindset
  • Professionalism
  • Customer Management
  • Presentation Skills
Certifications & Qualifications
  • Industry Certifications in Cloud Technologies
  • Data Certifications
Industry Keywords
  • Sales Engineering
  • Solutions Consulting
  • Enterprise Environments
  • Competitive Positioning
  • Enterprise Buying Processes
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