806 Data Engineer Consultant jobs in Frisco,TX

Manager, Technical Sales Consultant, Managed Services, Vertical Market

Spectrum

Coppell, TX 75019

~ 22 min OnsiteUrgently Hiring

Bachelor's degree in a business-related field or equivalent combination of education, training and experience
5+ years selling managed services products with a proven record of meeting and exceeding sales performanc A
Ability to read, write, speak and understand English
Demonstrated success by leading teams focused on selling Voice solutions
Experience in developing and managing high-performing teams
Strong presence in face-to-face meetings with C-level executives and business owners
Ability to inspire teams to surpass goals
Expertise in telecommunications and networking technologies
Business analysis and reporting skills using Salesforce or similar CRM tools
Proficiency in Microsoft Word, Excel, PowerPoint, Outlook and Visio
Effective communication skills with all levels of an organization
Travel extensively up to 70 percent of the time with a valid driver's license and safe driving record required
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

SmartExplore AI is experimental.

New, Posted 13 hours ago

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ResumeLibrary

Sr. Data Engineer

McKesson

Irving, TX 75039

$141,336-$184,400/yr

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Senior Managing Consultant (Mechanics)

Engineering Systems

Dallas, TX 75238

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Mechanical Engineering or related field required
Licensed Professional Engineer (P.E.) required
15+ years of experience in mechanical engineering consulting, design, or forensic investigation
Deep technical expertise in mechanics, stress analysis, fatigue, failure analysis, and/or machine design
Track record authoring high-quality technical reports and/or peer-reviewed publications
Proficiency in Microsoft Office suite; familiarity with mechanical analysis/FEA software (ANSYS, SolidWorks Simulation, or equivalent)
Strong verbal and written communication skills; ability to communicate complex mechanical engineering concepts clearly to legal and non-technical audiences
Ability to interact with clients professionally and build and develop business internally and externally
Must be available to travel occasionally as part of the national practice

SmartExplore AI is experimental.

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Inside Sales Consultant (Central Region)

Southern Glazer's Wine & Spirits

Addison, TX 75001

$22/hr

~ 18 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High School Diploma or GED required
Must be at least 21 years of age
Physical demands with activity or condition for a considerable amount of time may include sitting and typing/keyboarding using a computer (e.g., keyboard, mouse, and monitor) or mobile device
Physical demands with activity or condition may include walking, bending, reaching, standing, squatting, and stooping
May require lifting/lowering, pushing, carrying, or pulling up to 48lbs

SmartExplore AI is experimental.

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Principal Engineer - Python API Development

Fidelity Investments

Highland Village, TX 75077

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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Business to Business Sales

Spectrum

Coppell, TX 75019

~ 22 min Onsite

Valid and active State driver's license with safe driving record
High school diploma or general education degree required (GED)
Experience in a consultative sales role
Read, write, speak and understand English
Working knowledge of computer networking, LAN and WAN technologies, high-capacity and fiber-connected networks
Proven networking, negotiation and closing abilities
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future

SmartExplore AI is experimental.

New, Posted 19 hours ago

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Call Center Travel Consultant

Aaa Texas Llc

Coppell, TX 75019

~ 22 min Onsite

A high school diploma is required
You need to be able to pass a comprehensive criminal background check and thorough urine sample drug screening
You must be available to work most Saturdays and some evenings to support goal achievement
You are computer savvy with the ability to navigate between multiple systems and web browsers, Microsoft Office, and can type at least 30WPM
You have a strong and very comfortable relationship with paperwork, and you are very organized!

SmartExplore AI is experimental.

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EPIC ODB Engineer / Architect - Remote

NTT DATA Americas

Plano, TX 75086

Remote

7–10+ years of experience supporting Epic as an ODBA, DBA, or database architect.
Epic certifications in Chronicles, ODBA, or related technical modules (e.g., Cache/IRIS).
7–10+ years ofDeep expertise with InterSystems Caché/IRIS, including globals, journaling, shadowing, and performance tuning.
7–10+ years of strong understanding of Epic architecture, including Hyperspace, Interconnect, Web Blob, and ancillary systems.
7–10+ years of Proficiency with Linux/UNIX administration and shell scripting.
7–10+ years of Experience with high‑availability architectures, clustering, SAN/NAS storage, and virtualization.
7–10+ years of Strong analytical and troubleshooting skills for complex, high‑volume clinical systems.

SmartExplore AI is experimental.

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Principal Engineer - Python API Development

Fidelity Investments

Denton, TX 76205

~ 35 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.

Recommended

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Quality Inspector

Leonardo DRS

Dallas, TX 75243

~ 29 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

High school diploma or GED
In-depth knowledge of relevant manufacturing standards (such as J-Std-001/IPC-A-610) or common mechanical techniques (such as geometric dimensioning and tolerance practices)
Ability to use various measurement devices (calipers, pin gauges, go/no-go gauges, etc) to verify mechanical part compliance
Experience reading mechanical drawings and able to verify parts dimensions against drawing requirements
Ability to effectively interpret data and present as information and respond to questions from engineers and other technical staff
U.S. Citizenship required. This position requires an active DOD security clearance or the ability to obtain such clearance within a reasonable time after commencement of employment.

SmartExplore AI is experimental.