969 Data Engineer Saas Other jobs in Denton,TX

Software Engineer (Agentic AI/Data Engineering)

Gartner

Irving, TX 75039

Recommended

Apply Directly

Principal Engineer - Python API Development

Fidelity Investments

Flower Mound, TX 75027

~ 25 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 11 hours ago

Recommended

Apply Directly

Business Intelligence Data Engineer

Golden State Foods

Frisco, TX 75034

New, Posted 1 day ago

Recommended

DiversityJobs

Data Engineer - Production Support

Gartner

Irving, TX 75039

Recommended

Apply Directly

Principal Engineer - Python API Development

Fidelity Investments

Denton, TX 76205

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

Apply Directly

Business Dev Mgr - Data Centers

Johnson Controls

Dallas, TX 75215

~ 42 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.

Apply Directly

Regional Planner - Industrial Engineering/Maintenance

Advanced Technology Services

Dallas, TX 75221

~ 42 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree required in Industrial Engineering
1-3 years of maintenance scheduling / planning experience and/or 5 – 10 years as a machine repair technician, or equivalent combination of both
Familiar with industrial manufacturing environment
Electrical/mechanical aptitude
Proficiency with computers, Computerized Maintenance Management Systems, and applications including Microsoft Office
Excellent verbal communication, facilitation, and presentation skills
Ability to build and maintain positive, professional relationships

SmartExplore AI is experimental.

Apply Directly

Manager, Credit Strategy for Auto Finance Analytics

OneMain Financial

Irving, TX 75062

Hybrid~ 36 minFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree (Graduate a plus) in a quantitative discipline, such as Engineering, Statistics, Economics, Data Analytics or Computer Science.
2+ years of experience in a data driven analytics environment; consumer lending preferred; Master's or PHD degrees may offset experience. 4+ years required
Advanced analytical skillset using tools such as SQL, SAS, Excel skills required; experience with multiple types of relational databases and/or querying languages is a plus such as R, Hive Python, Oracle, Unix are desired
Innovative and capable of developing a highly analytical approach to solving problems
Experience driving projects and presenting to senior management on results and ideas
Capability and willingness to learn new areas within the OneMain business and take on diverse projects

SmartExplore AI is experimental.

Apply Directly

Quality Control Inspector

US2102 Encore Wire

Mckinney, TX 75070

$20/hr

~ 42 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

High school diploma or GED
Ability to read and write in English
Experience in industrial or manufacturing settings required
Strong attention to detail.
Ability to stand, walk, and perform repetitive motion for long periods of time.
Must be able to lift at least 25 pounds

SmartExplore AI is experimental.

Apply Directly

Quality Inspector

Leonardo DRS

Dallas, TX 75243

~ 42 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.