1341 Full Stack Automation Testing Engineer jobs in Dallas,TX

Lead Analytics & Automation Engineer

McKesson

Irving, TX 75039

Hybrid~ 22 min

Degree or equivalent and typically requires 7+ years of relevant experience.
Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field
7+ years of experience in business analysis, analytics, or business intelligence, with at least 2 years in a leadership or mentorship role
Proficiency in SQL and hands-on experience building dashboards in Power BI, Tableau, or Looker
Hands-on experience writing production-quality Python code (scripting, ETL/ELT, API integration); experience with RPA-to-AI/automation migration is a plus
Experience delivering analytics solutions in a modern data environment (e.g., Snowflake, Databricks, or comparable cloud platforms)
Strong understanding of BI best practices, data modeling, and end-to-end analytics delivery from requirements through UAT and adoption
Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future
The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days remote

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Controls Business Development Manager (Building Automation Systems)-Dallas, TX

Top Tempo Technical

Dallas, TX 75217

Onsite

5+ years of successful business development, sales, or account management experience within the Building Automation Systems (BAS), Controls, HVAC Controls, Energy Services, or Smart Building industry.
Demonstrated success generating new business and closing large commercial projects.
Strong understanding of Building Automation Systems, controls platforms, HVAC systems, energy management, and facility operations.
Proven ability to develop relationships with owners, engineers, consultants, and key stakeholders.
Experience reviewing plans, specifications, and conceptual project requirements.
Strong financial and business acumen with an understanding of project pricing, budgeting, and contract structures.
Excellent presentation, negotiation, and communication skills.
Self-starter with exceptional organizational and time-management abilities.
Ability to manage multiple opportunities simultaneously while maintaining a customer-focused approach.

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Senior Software Engineer (AWS/Kubernetes) - Cloud Center of Excellence

Gartner

Irving, TX 75039

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Jr. Automation Technician

Ace Hardware Corporation

Wilmer, TX 75172

$20-$25/hr

~ 21 min OnsiteFlexible ScheduleChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High school diploma or equivalent (GED)
Demonstrated ability to follow written procedures and adhere to established protocols
Basic mechanical aptitude and ability to work around automated equipment
Ability to work a flexible schedule, including nights, weekends, and holidays as needed

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Lead, Software Engineering

L3Harris Technologies

Balch Springs, TX 75180

Bilingual Preferred

New, Posted 1 day ago

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SQL/AWS Senior Database Engineer, Plano

Data Analysis

Plano, TX 75025

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Technical Program Manager (TPM) - Manufcaturing Process & Automation

Seksun Texas

Irving, TX 75061

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Principal Engineer - Python API Development

Fidelity Investments

Southlake, TX 76092

~ 36 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

DEAN TECHNOLOGY

Addison, TX 75001

~ 19 min OnsiteHealth InsuranceRetirement Benefit

Education: BSEE/BSME/BSMechE and 5+ years' experience, or the equivalent of 10 years' experience in manufacturing engineering, with electronics background.
Skills / Technical Knowledge / Experience: Working knowledge of mechanical assemblies, tooling, fixtures, tolerances, and assembly drawings.
Skills / Technical Knowledge / Experience: Requires knowledge of fabrication processes, material specification, and general industrial operations.
Skills / Technical Knowledge / Experience: Must be a business minded engineer to provide continuous improvements to products and processes.
Skills / Technical Knowledge / Experience: Must be proficient with program management tools and have the ability to manage and prioritize multiple projects, tasks, and assignments at once.
Must be eligible to work in the United States without sponsorship.

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