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Python Developer Data Engineering

Dallas,TX

1437 Python Developer Data Engineering jobs in Dallas,TX

New, Posted 14 hours ago
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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 min OnsiteUrgently HiringEducation 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.
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New, Posted 14 hours ago
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Engineer/Sr Engineer, IT Data

American Airlines

Fort Worth, TX 76101

New, Posted 14 hours ago
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Principal Engineer - Python API Development

Fidelity Investments

Bedford, TX 76022

~ 32 min OnsiteUrgently HiringEducation 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 21 hours ago
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Lean Manufacturing Engineer

Teledyne

Garland, TX 75040

~ 26 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Associate's degree in engineering (Mechanical, Electrical, Materials, Industrial, or related discipline) - required
  • 7-8 years of experience in manufacturing engineering, process development, or continuous improvement - required
  • Hands-on experience with microelectronics or high-reliability manufacturing processes such as wire bonding, die attach, hermetic sealing, welding, or precision assembly - required
  • Strong cross-functional communication skills with the ability to coordinate engineering, quality, and manufacturing teams - required
  • Ability to manage multiple technical initiatives, track actions and risks, and drive timely closure - required
SmartExplore AI is experimental.
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New, Posted 1 day ago
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IT Architect II-IM Application Development

CHRISTUS Health

Irving, TX 75039

~ 22 min OnsiteUrgently Hiring

  • Bachelor's degree in Computer Science, Architecture, Information Systems, Electrical Engineering or related field preferred, or four years of relevant experience required.
  • Five years of increasingly responsible Enterprise architecture experience in Healthcare Hospital systems environments with a wide variety of Information Services applications and technologies is required.
  • Extensive technical knowledge of Healthcare Hospital systems, databases, networks, operating systems and Information Management “Best Practices”, including: local and wide area networking, network protocols and routing; network, server, and host operating systems; Interoperability, data storage and retrieval systems; system backup and recovery; IP networking, internet and intranet technologies; email, groupware, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; video conferencing and telemedicine; server hardware, software, and administration.
  • Security model understanding and maintenance
  • Solid understanding of Business Intelligence/Data Warehouse environment with involvement in design and development of database solution in both traditional as well as columnar databases.
  • Experience in data integration with ETL techniques and frameworks
  • Experience in Big Data querying tools, such as Hive, Impala and Spark SQL
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Data Scientist/Sr Data Scientist, B2B Data

American Airlines

Fort Worth, TX 76101

New, Posted 21 hours ago
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Additive Manufacturing Engineering Lab Manager

Lockheed Martin

Fort Worth, TX 76108

~ 44 min OnsiteFlexible SchedulePaid Time Off

  • MUST BE A U.S. CITIZEN
  • This position is located at a facility that requires special access
  • The selected candidate must be able to obtain a secret clearance
  • Engineering or other technical bachelor's degree (STEM)
  • ≥8 years of technical experience in metal and polymer additive manufacturing/3D printing technology, preferably in aerospace or defense
  • Demonstrated success in developing technology roadmaps and securing funding for R&D; projects
  • Technical leadership capability within challenging technical, cost, and schedule constraints
  • Strong knowledge of AM processes and material certification for aerospace applications
  • Team leadership experience in a dynamic, fast-paced environment
  • Demonstrated collaboration with internal and external customers, DoD labs, and other government agencies on research and development, including CRAD
  • Demonstrated collaboration with cross-functional teams, including engineering, manufacturing, and supply chain management, to ensure successful integration and identify and mitigate potential risks and issues
  • Demonstrated skills in conflict resolution, proactive communication, and building collaborative relationships
  • Experience with development of air vehicle products
  • Experience preparing and delivering presentations to internal leadership and external customers
  • Experience with strategic technical planning and proposal development
  • Knowledge of Earned Value Management
  • Planning and management of personnel resources, staff development and capital resources. Including recruitment, selection, training, assignments, performance, merit planning, recognition and disciplinary actions
  • Experience supporting classified and sensitive programs
  • Schedule: 4x10 hour day, 3 days off per week
  • Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Actuarial Analyst II (Intermediate) – Forecasting Analytics

USAA

Plano, TX 75023

Paid Relocation to Plano, TX

RemoteUrgently HiringFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree
  • 2 years of actuarial or analytical business experience
  • 3 Casualty Actuarial Society (CAS) exams
  • 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 technical insights to business problems
SmartExplore AI is experimental.
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New, Posted 21 hours ago
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Senior Specialist, Manufacturing Engineering

L3 Harris

Richardson, TX 75080

~ 18 min OnsiteBilingual Preferred

  • Bachelor's Degree and minimum 6 years of prior Manufacturing Engineering experience
  • Graduate Degree and a minimum of 4 years of prior Manufacturing Engineering experience
  • In lieu of a degree, minimum of 10 years of prior Manufacturing Engineering experience
  • Security clearances may only be granted to U.S. citizens
  • All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws
  • L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law
  • L3Harris is proud to be an Equal Opportunity Employer
SmartExplore AI is experimental.
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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.
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