803 Data Engineer Integrations jobs in Dallas,TX

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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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.

SmartExplore AI is experimental.

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Business Dev Mgr - Data Centers

Johnson Controls

Dallas, TX 75215

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.

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Tool Planner / Manufacturing Engineer (Level 2)

Lockheed Martin

Grand Prairie, TX 75051

Hybrid~ 28 minFlexible Schedule

Bachelor's degree or equivalent experience
Ability to communicate effectively
High attention to detail
Knowledge of tool design
Microsoft Office experience
General knowledge of mechanical manufacturing processes
Experience with PLM, MRP, & ERP systems is preferred
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Schedule for this Position: 4x10 hour day, 3 days off per week
Relocation Available: Possible
Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.

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Principal Engineer, IT Systems Engineering

American Airlines

Fort Worth, TX 76101

~ 44 min Onsite

Bachelor's in Computer Science, Computer Engineering, Technology , Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
8 years experience as a software or platform engineer
5 years of experience with public and private cloud technologies, particularly Kubernetes
Hands-on experience in systems development in a variety of computing architectures and environments
Hands-on experience writing, testing, and maintaining Kubernetes operator code in Go
Strong technical expertise in Kubernetes architecture, including networking patterns, security patterns, service mesh, scheduling, and lifecycle automation.
Experience with Kubebuilder and/or Operator SDK
A test-first mindset and experience using Ginkgo/Gomega
Strong understanding of Kubernetes networking internals and cloud networking concepts.
Experience maintaining and operating large-scale, highly resilient platforms in the public cloud.
Proficient in infrastructure automation & orchestration
Proficient in Agile methodologies
Significant experience in requirements analysis and use case development, with a thorough understanding of software development life cycles, development and technology tools, testing methodologies, and requirements gathering
Ability to create/reengineer integration solutions (architectures) with other enterprise standard technologies
Ability to manage multiple efforts concurrently with the skills to keep complex initiatives moving forward quickly while exercising an appropriate level of procedural discipline
Proven ability to build strong and sustainable relationships with internal and external stakeholders
Ability to adapt to unexpected events, new facts, and rapidly changing circumstances
Ability to thrive in a sense-of-urgency environment and leverage best practices

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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

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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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Regional Planner - Industrial Engineering/Maintenance

Advanced Technology Services

Dallas, TX 75221

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

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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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