1001 Data Engineer Gcp jobs in Dallas,TX

Manager, GCP Architect

KPMG

Dallas, TX 75217

Onsite

Minimum five years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience
Bachelor's degree from an accredited college/university
Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future
Travel as required

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Tool Planner / Manufacturing Engineer (Level 2)

Lockheed Martin

Grand Prairie, TX 75051

Hybrid~ 28 minUrgently HiringFlexible 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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Senior Associate, Full Stack Developer - GCP

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

A minimum of three years of full stack development and programming experience with proven experience as a Full Stack Developer or similar role.
Bachelor's degree in computer science, Software Engineering, or a related field.
Strong expertise in Java, Python, and React JS and proficiency with Spring Boot, and Kubernetes.
In-depth understanding of microservices architecture with a solid understanding of software engineering principles and practices with experience with GenAI and large language models (LLM).
Experience with SQL databases and cloud platforms (GCP).
Knowledge of CI/CD processes and tools like Maven, familiarity with version control systems like Git.
Ability to travel
Must be authorized to work in the U.S without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H1B1, F-1, J-1, OPT, CPT or any employment-based visa)

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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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Manufacturing Engineer (Level 2)

Lockheed Martin

Grand Prairie, TX 75051

~ 28 min OnsiteUrgently HiringFlexible SchedulePaid Time Off

1+ years of related experience
Bachelor's degree in Manufacturing Engineering Technology or similar field
Experienced with tooling (fixtures, cutters, and other manufacturing equipment) and CNC machining processes
Experience reducing defects and increasing productivity/throughput
Proven track record of data driven approach to solving problems
MUST BE A U.S. CITIZEN
Secret clearance
The work associated with this position will be performed onsite at a designated Lockheed Martin facility

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Software Engineer (Agentic AI/Data Engineering)

Gartner

Irving, TX 75039

New, Posted 1 day ago

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Data Engineer - Production Support

Gartner

Irving, TX 75039

New, Posted 12 hours ago

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Business Intelligence Data Engineer

Golden State Foods

Frisco, TX 75034

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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
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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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