963 Land Development Engineer jobs in Dallas,TX

Software Engineer (Agentic AI/Data Engineering)

Gartner

Irving, TX 75039

Easy Apply

Water Resources Engineer Technical Lead

obrien engineering

Dallas, TX 75248

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

12+ years of experience
BS in Civil Engineering
Professional Registration: Texas PE or ability to obtain Texas registration within 12 months
Hydrologic, hydraulic, hydrodynamic and 2D modeling
ArcGIS and related tools
Experience with master flood studies, master drainage studies, comprehensive watershed studies, bank stabilization, storm drainage remediation, hydraulic analysis of bridges, culverts, channels, flumes, energy dissipation analysis; dam break analysis a plus
Minimum three days a week in-office

SmartExplore AI is experimental.

New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Euless, TX 76039

~ 28 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

SmartExplore AI is experimental.

Apply Directly

Manufacturing Engineer Asc (Level 1)

Lockheed Martin

Grand Prairie, TX 75051

~ 28 min OnsiteFlexible SchedulePaid Time Off

Bachelor's degree in Manufacturing Engineering Technology, a similar field, or equivalent experience
Proven track record of data driven approach to solving problems
Strong communication skills
MUST BE A U.S. CITIZEN
This position is located at a facility that requires special access
The selected candidate must be able to obtain a Secret clearance
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret
Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
Schedule for this Position: 4x10 hour day, 3 days off per week
Relocation Available: Possible

SmartExplore AI is experimental.

New, Posted 1 day ago

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Applied Early Career Program - Field Service Engineer

Applied Materials

Dallas, TX 75221

Paid Relocation to Dallas, TX

Requires Travel

Associate degree, recent college graduate, military technical training, trade certification, or equivalent hands-on experience
Basic mechanical aptitude and interest in technical systems
Willingness to learn and read electrical and mechanical schematics
Ability to diagnose and solve basic technical problems
Strong written and verbal communication skills
Basic working knowledge of Microsoft Excel, Word, and PowerPoint
Valid driver's license and ability to obtain a passport, if required for travel
Ability to meet on-site safety, environmental, and customer requirements

SmartExplore AI is experimental.

New, Posted 1 day ago

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Apprentice Plumber

Upchurch

Arlington, TX 76010

~ 36 min OnsiteHealth InsurancePaid Time Off

Current Texas Plumbing Apprentice License required.
All applicants must possess a current Texas Plumbing Apprentice License at the time of application.
Basic knowledge of hand tools and power tools.
Reliable transportation to travel to various job sites as needed.
Ability to pass pre-employment screening and maintain job site access requirements.
Ability to lift and carry materials weighing up to 50 pounds or more with assistance when needed.
Ability to stand, walk, bend, kneel, crouch, and climb ladders for extended periods.
Ability to work in indoor and outdoor environments and varying weather conditions.
Comfortable working at heights, in confined spaces, and on active construction sites.
Ability to use hand and power tools safely and effectively.

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Sub-Assembly Technician

Solar Turbines Incorporated

Desoto, TX 75115

~ 31 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

This position requires working onsite five days a week.
Any offer of employment is conditioned upon the successful completion of a drug screen.
Visa Sponsorship is not available for this position.

SmartExplore AI is experimental.

New, Posted 6 hours ago

DiversityJobs

Software Engineer (AWS/Kubernetes) - Cloud Center of Excellence

Gartner

Irving, TX 75039

New, Posted 1 day ago

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Cable Assembly Drafter

Amphenol

Allen, TX 75002

~ 25 min Onsite

Ability to read (write and speak in English) and interpret assembly drawings/specifications from internal and external sources.
Ability to read and interpret engineering drawings and blue prints.
Proficient in AutoCAD/Visio, Solidworks (preferred) or equivalent 3D modeling software.
Proficient in MS Office Suite
Possess good interpersonal skills and ability to work in a team environment
Liaison with engineering/sales/manufacturing personnel
Able to move from design concept to finished design, including layouts and tolerance valuations and detail drawings.
Ability to learn and execute established procedures and programs
Complete all applicable reports and required project documentation
Able to follow established procedures to complete required cable assembly designs
U.S. Citizen or Permanent Resident to satisfy AFSI ITAR requirements
One to two years' college or trade school education in engineering drawing/CAD design
Minimum five (5) years' on-the-job experience.
An equivalent combination of education and experience may be substituted for formal training
Position requires candidates to be U.S. person as defined in ITAR, 22CFR 120.15 (U.S. Citizenship or Resident Alien Status)

SmartExplore AI is experimental.