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Management Level Data Engineer

Plano,TX

984 Management Level Data Engineer jobs in Plano,TX

New, Posted 9 hours ago
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Lead Manufacturing Engineer (Level 3 Individual Contributor)

Lockheed Martin

Grand Prairie, TX 75051

Hybrid~ 44 minUrgently HiringFlexible SchedulePaid Time Off

  • Bachelor's degree in an associated Engineering discipline
  • Experience with Manufacturing/Assembly/Production Processes
  • Ability to obtain a security clearance.
  • The selected candidate must be able to obtain a Secret clearance.
  • MUST BE A U.S. CITIZEN
  • This position requires a government security clearance, you must be a US Citizen for consideration.
  • Clearance Level: Secret
  • Ability to travel domestic and/or international at least 30% of the time
  • Ability to interpret drawings, Computer-Aided Design (CAD) models, product/performance specifications and other systems-integration technical data
  • Ability to use MS Office tools (Teams, Word, Excel, PowerPoint, etc.)
  • Ability to work in a fast-paced and changing environment
  • Demonstrated effective interpersonal skills, including team building, collaboration and developing enduring business relationships
  • Demonstrated effective communication skills including verbal, listening, technical writing and presentations
  • Demonstrated ability to analyze and resolve technical/process issues varying from basic to very complex
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New, Posted 20 hours ago
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Actuarial Analyst I (Mid-Level)

USAA

Plano, TX 75023

RemoteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree; OR 4 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
  • 4 years of Actuarial or analytical business experience.
  • No more than 2 Casualty Actuarial Society (CAS) exams away from Associate of the Casualty Actuarial Society (ACAS) Credential and All Validation of Education Experience (VEEs) completed.
  • Demonstrated competency with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
  • Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
  • Experience communicating complex solutions and analysis to both technical and nontechnical audiences.
SmartExplore AI is experimental.
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New, Posted 9 hours ago
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Manufacturing Engineering Associate Manager (Level 4)

Lockheed Martin

Grand Prairie, TX 75051

Paid Relocation to Grand Prairie, TX

Hybrid~ 44 minFlexible SchedulePaid Time Off

  • Bachelors or higher degree in an engineering discipline
  • Ability to obtain a security clearance
  • Ability to lead cross functional teams
  • Knowledge of Lean manufacturing principles
  • Demonstrated presentation skills
  • Ability to build positive relationships with the customer
  • Effective interpersonal skills, including team building and collaboration
  • Manufacturing background
  • Ability to travel domestic and/or international
  • MUST BE A U.S. CITIZEN
  • The selected candidate must be able to obtain a Secret clearance
  • A company-sponsored interim Secret clearance is required to start
  • Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
  • Clearance Level: Secret
SmartExplore AI is experimental.
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New, Posted 1 hour ago
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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.
View now
New, Posted 2 hours ago
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Application Engineer - AI Trainer

DataAnnotation

Dallas, TX 75217

Flexible ScheduleBilingual Preferred
New, Posted 20 hours ago
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Business Systems Analyst Senior - IM Project Management Office

CHRISTUS Health

Irving, TX 75039

~ 35 min OnsiteUrgently Hiring

  • Bachelor's Degree in Computer Science, Information Systems, or related field
  • An equivalent combination of education and relevant experience may be considered, with four (4) years of additional relevant experience substituting for a bachelor's degree
  • 3 - 4 years of experience in implementing workflow solutions and project management.
  • Education/Skills section specifies Bachelor's Degree; no licenses or certifications required
SmartExplore AI is experimental.
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New, Posted 1 hour ago
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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 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.
View now
New, Posted 16 hours 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.
SmartExplore AI is experimental.
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New, Posted 2 hours ago
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Manager, Credit Strategy for Auto Finance Analytics

OneMain Financial

Irving, TX 75062

Hybrid~ 35 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.
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New, Posted 18 hours ago
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Account Services Specialist - ITSM, ITIL

NTT DATA Services, LLC

Addison, TX 75001

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