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Data Solutions Engineer Storage

Dallas,TX

776 Data Solutions Engineer Storage jobs in Dallas,TX

New, Posted 1 day ago
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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

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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.
  • #LI-ONSITE
  • #LI-PRT1
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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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New, Posted 1 day ago
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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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New, Posted 1 day ago
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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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New, Posted 1 day ago
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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.
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