776 Data Solutions Engineer Storage jobs in Dallas,TX

Data Scientist/Sr Data Scientist, B2B Data

American Airlines

Fort Worth, TX 76101

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Senior Manufacturing Engineer

Klein Tools

Mansfield, TX 76063

~ 38 min OnsiteHealth InsuranceRetirement Benefit

Bachelor of Science Degree in Mechanical, Electrical, or Industrial Engineering (appropriate for the assigned area) and five (5) year experience
Must possess basic knowledge of tooling design methods and machine tool programming
Ability to use Microsoft Office and CAD software
Ability to communicate effectively both orally and written
Ability to communicate and work as a team member

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Engineer/Sr Engineer, IT Data

American Airlines

Fort Worth, TX 76101

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Manufacturing Engineer

DEAN TECHNOLOGY

Addison, TX 75001

~ 19 min OnsiteHealth InsuranceRetirement Benefit

Education: BSEE/BSME/BSMechE and 5+ years' experience, or the equivalent of 10 years' experience in manufacturing engineering, with electronics background.
Skills / Technical Knowledge / Experience: Working knowledge of mechanical assemblies, tooling, fixtures, tolerances, and assembly drawings.
Skills / Technical Knowledge / Experience: Requires knowledge of fabrication processes, material specification, and general industrial operations.
Skills / Technical Knowledge / Experience: Must be a business minded engineer to provide continuous improvements to products and processes.
Skills / Technical Knowledge / Experience: Must be proficient with program management tools and have the ability to manage and prioritize multiple projects, tasks, and assignments at once.
Must be eligible to work in the United States without sponsorship.

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New, Posted 12 hours ago

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AI Engineer

Capital One

Plano, TX 75023

New, Posted 1 day ago

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Manufacturing Engineer

PPG

Grand Prairie, TX 75052

~ 28 min Onsite

Only US Citizens, Green card holders, political asylees, or refugees are eligible to apply
Process improvement project experience is expected.
Must have a comprehensive solid understanding of manufacturing systems and technology, or related experience commensurate with the complexity associated with the PPG Aerospace manufacturing environment.
Proven technical leadership abilities.
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Senior Electrical Engineer - Healthcare

TLC Engineering Solutions

Dallas, TX 75201

HybridFlexible ScheduleHealth InsuranceRetirement Benefit

Degree in area of expertise
PE
15+ years of experience in A/E environment
Demonstrated success in managing projects
Engineering expertise in field and knowledge of parallel fields

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Controls Business Development Manager (Building Automation Systems)-Dallas, TX

Top Tempo Technical

Dallas, TX 75217

OnsiteUrgently Hiring

5+ years of successful business development, sales, or account management experience within the Building Automation Systems (BAS), Controls, HVAC Controls, Energy Services, or Smart Building industry.
Demonstrated success generating new business and closing large commercial projects.
Strong understanding of Building Automation Systems, controls platforms, HVAC systems, energy management, and facility operations.
Proven ability to develop relationships with owners, engineers, consultants, and key stakeholders.
Experience reviewing plans, specifications, and conceptual project requirements.
Strong financial and business acumen with an understanding of project pricing, budgeting, and contract structures.
Excellent presentation, negotiation, and communication skills.
Self-starter with exceptional organizational and time-management abilities.
Ability to manage multiple opportunities simultaneously while maintaining a customer-focused approach.

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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.

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Principal Engineer - Python API Development

Fidelity Investments

Coppell, TX 75019

~ 31 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.