1236 Plm Developer jobs in Dallas,TX

Bachelor's degree in Civil Engineering or related field
8+ years of experience in technical sales, business development, or client-facing engineering roles (preferably in geotechnical, Energy (Power, Oil & Gas, Renewable), and heavy civil markets sectors)
Professional Engineer (PE) license preferred
Experience with cost estimation, design/build models, and public or private procurement processes
Understanding of construction field practices and heavy equipment
Prior CRM experience (e.g., Salesforce); B2W estimating experience is a plus
Candidates must be based in CA, CO, LA, OR, TX, or WA
Company-sponsored travel required: approximately 50% regionally, including regular customer site visits and occasional overnight trips
Ability to perform field assessments, including walking steep slopes, uneven terrain, and active geohazard sites
Combination of office, field, and client-facing work environments

SmartExplore AI is experimental.

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Business Development Executive, Supply Chain, LE

Gartner

Irving, TX 75039

New, Posted 21 hours ago

DevOps and Tools Engineer

Fisher Investments Careers

Dallas, TX 75217

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Manager, SAP Technical Development -CPI/CIG

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

Minimum seven years of recent, external management consulting or relevant industry experience providing SAP advisory and technical services to clients
Bachelor's degree from an accredited college or university in an appropriate field
Possess at least 5 years of hands-on experience and understanding of SAP ABAP concepts, guidelines, SAP architecture, and ABAP Object-Oriented Programming
Proven track record of designing and delivering enterprise integrations using SAP CPI, including custom iFlow development, Groovy scripting, and API management
Deep understanding and hands-on experience with SAP CIG (now SAP Integration Suite, managed gateway for spend management) for Ariba network connectivity, routing, and standard/custom mapping
Experience on BTP, CDS Views, AMDP, Workflows, IDOCs, OData, Fiori, BADIs, BAPIs, REST/SOAP APIs, and modern integration patterns; strong verbal and analytical skills with the ability to communicate effectively with both technical and business stakeholders
Ability to travel as needed
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.

New, Posted 4 hours ago

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Entry Level Management

Ramos Agencies

Fort Worth, TX 76137

$75,000-$95,000/yr

~ 44 min OnsiteBilingual Preferred

Driver License
Background Check
Salary: $75,000.00-$95,000.00 per year

SmartExplore AI is experimental.

New, Posted 1 day ago

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Lead Model Validator - Fraud

USAA

Plano, TX 75023

Hybrid~ 27 minFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or a Related Field with Core Quantitative Curriculum. Four additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
8 years of related work experience in model validation, model development, statistical analysis, and/or sophisticated quantitative research
Strong experience communicating complex quantitative/technical concepts and conclusions to senior leadership, auditors, and/or regulators.
Strong programming skills in R, Python, SAS, Java, C, SQL, and/or other comparable programming languages for the iterative methodological tenants of model and algorithm development including setting model specifications, assumption testing, data quality assessments, variable selection, back-testing, benchmarking, and other robust model testing.
Subject Matter Depth and Breadth with at least four of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees; Neural Networks; Deep Learning Concepts; Bayesian Estimators.
Strong business context knowledge in operational and support functions of Banking and/or Insurance as well as associated modeling and analytics knowledge.
Business and industry skill in modeling and model governance techniques and approaches.
Experience sharing modeling governance technical expertise and mentorship with peers.

SmartExplore AI is experimental.