1296 Data Engineer Entertainment jobs in Allen,TX

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Applied Early Career Program - Field Service Engineer

Applied Materials

Dallas, TX 75221

Paid Relocation to Dallas, TX

Requires TravelUrgently Hiring

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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DiversityJobs

Software Engineer (Agentic AI/Data Engineering)

Gartner

Irving, TX 75039

New, Posted 9 hours ago

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Entry Level Sales

Spectrum

Garland, TX 75041

$100,000/yr

~ 22 min OnsiteUrgently Hiring

A valid driver's license, car insurance, a satisfactory driving record, and the use of a reliable personal vehicle
High School Diploma or equivalent work experience
Ability to read, write, speak and understand English language
Ability to travel (including during inclement weather) to and from assigned territories and company facilities
Must be able to work evenings and weekends, and as business needs dictate to maximize prospective customer contact
Spend approximately 90% of time outdoors in all seasons, with potential exposure to inclement weather
External/face-to-face sales experience preferred in some contexts; 2+ years sales or relevant work experience is preferred (from Preferred Qualifications, Experience)

SmartExplore AI is experimental.

New, Posted 14 hours ago

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Business Intelligence Data Engineer

Golden State Foods

Frisco, TX 75034

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Principal Engineer - Python API Development

Fidelity Investments

Lewisville, TX 75029

~ 32 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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DiversityJobs

Data Engineer - Production Support

Gartner

Irving, TX 75039

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Quality Inspector

Leonardo DRS

Dallas, TX 75243

~ 26 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.

New, Posted 12 hours ago

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Outside Sales Representative

Spectrum

Garland, TX 75041

$100,000/yr

~ 22 min OnsiteUrgently Hiring

A valid driver's license, car insurance, a satisfactory driving record, and the use of a reliable personal vehicle
High School Diploma or equivalent work experience
Ability to read, write, speak and understand English language
Engaging interpersonal skills
Ability to listen, formulate needs based sales strategies, and articulate pitches to sell products and services
A passion to succeed and strong personal drive to sell to prospective customers
Ability to travel (including during inclement weather) to and from assigned territories and company facilities
Familiarity with computer operating systems and software applications as well as consumer and commercial communication devices (e.g., PDAs, smartphones, routers, modems, set-top converters, and wireless devices)
Must be able to work evenings and weekends, and as business needs dictate to maximize prospective customer contact
Ability to work independently with little or no supervision
Travel door to door for extensive periods through local communities
Able to lift and transport 10-20 pounds

SmartExplore AI is experimental.

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Business Dev Mgr - Data Centers

Johnson Controls

Dallas, TX 75215

~ 26 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Based in the Dallas, TX area
Bachelor's degree in Business, Marketing, Engineering, or a related field; equivalent work experience will be considered.
Minimum of 5 years of experience in business development, strategic account management, enterprise sales, or major project sales.
Proven experience selling into or working with the data center, mission-critical, construction, engineering, or industrial infrastructure markets.
Demonstrated success developing new business, building strategic relationships, and managing complex sales opportunities.
Strong understanding of account planning, solution selling, and project-based business development.
Experience engaging multiple stakeholders across owner, consultant, contractor, and technical audiences.
Excellent communication, negotiation, presentation, and relationship management skills.
Ability to travel up to 75% across the Americas.

SmartExplore AI is experimental.

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Principal Engineer - Python API Development

Fidelity Investments

Denton, TX 76205

~ 41 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.