736 Big Data Engineer jobs in Dallas,TX

Sr. Data Engineer

McKesson

Irving, TX 75039

$141,336-$184,400/yr

New, Posted 4 hours ago

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Business Intelligence Data Engineer

Golden State Foods

Frisco, TX 75034

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Quality Inspector

Leonardo DRS

Dallas, TX 75243

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

High school diploma or GED
In-depth knowledge of relevant manufacturing standards (such as J-Std-001/IPC-A-610) or common mechanical techniques (such as geometric dimensioning and tolerance practices)
Ability to use various measurement devices (calipers, pin gauges, go/no-go gauges, etc) to verify mechanical part compliance
Experience reading mechanical drawings and able to verify parts dimensions against drawing requirements
Ability to effectively interpret data and present as information and respond to questions from engineers and other technical staff
U.S. Citizenship required. This position requires an active DOD security clearance or the ability to obtain such clearance within a reasonable time after commencement of employment.

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Entry Level Sales

Spectrum

Dallas, TX 75234

$100,000/yr

OnsiteUrgently HiringBilingual Preferred

A valid driver's license
Car insurance
A satisfactory driving record
The use of a reliable personal vehicle
High School Diploma or equivalent work experience
Ability to read, write, speak, and understand multiple languages (English and Spanish)
Must be able to work evenings and weekends, and as business needs dictate to maximize prospective customer contact
Ability to travel (including during inclement weather) to and from assigned territories and company facilities
Spend approximately 90% of time outdoors in all seasons, with potential exposure to inclement weather
Exposure to moderate noise levels
A minimum ability to lift and transport 10-20 pounds
Completion of all required sales documentation accurately, including dispositioning, order entry and reporting

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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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New, Posted 1 day ago

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Data Center/Chiller Technician

Trane Technologies

Carrollton, TX 75007

~ 27 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A High School Diploma or GED equivalent is required.
5+ years of experience in HVAC providing expertise in the systems level knowledge.
Proven experience performing start‑up of air‑cooled and water‑cooled chillers, including system preparation, commissioning procedures, operational verification, and post‑start performance checks and repairs.
Proficient utilization of software to connect and check chiller operation.
EPA Certification required.
Must possess a valid driver's license for a minimum of 12 months, with no major or frequent traffic violations including, but not limited to: DUI, Hit & Run, License Suspension, Reckless / Careless Driving or multiple smaller infractions or preventable collisions in the previous 3 years.

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Inspector I Quality Control

Smiths Group

Irving, TX 75061

~ 22 min Onsite

Time management skills.
Must be adaptable to a changing work environment, completing jobs and must be able to deal with frequent change, delays, or unexpected events.
Attention to details and ability to focus on assignment.
Knowledge of reading engineering technical drawings, including GD&T; callouts
Effective English communication skills, including writing.
Knowledge of inspection tools (i.e. scopes, calipers, micrometers, etc) along with ability to focus for an extended amount of time while using microscope.
Have good computer skills and able to use Microsoft office products.

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Make Your Own Schedule - Deliver With Gopuff

goPuff

Dallas, TX 75228

OnsiteFlexible Schedule

Be at least 21 years or older
Valid U. S. driver's license
Vehicle with insurance + registration in your name
Smartphone
Willing & able to pass a pre-paid alcohol delivery training course (where applicable)
Delivery Driver Partners must have a valid driver's license, minimum auto insurance and complete a background check.
Delivery Driver Partners will use their own reliable car, smartphone, and data + text plan.

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Skunkworks Staff Manufacturing Engineer (Level 4)

Lockheed Martin

Fort Worth, TX 76108

Paid Relocation to Fort Worth, TX

~ 44 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelors degree required to apply
Experience in a manufacturing environment working cross functionally with other disciplines including industrial engineering, planning, scheduling, Quality Assurance &/or production operations.
Experience supporting vehicle systems installations & integration into a final product and/or rigging experience for moveable surfaces. Experience should include some combination of the following systems: electrical harness installation, fuel systems, hydraulic systems, related systems, landing gear, and door rigging.
Active secret security clearance, with investigation in the last 5 years.
Ability to obtain special program access within 3 months of start date with LM.
Ability to travel 25 - 75% of the time, or based on business needs.
This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret with Investigation or CV date within 5 years

SmartExplore AI is experimental.

New, Posted 7 hours ago

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