980 Data Analyst Or Data Engineer jobs in Dallas,TX

Sr. Data Engineer

McKesson

Irving, TX 75039

$141,336-$184,400/yr

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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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Sr Analyst, Industrial Engineer

American Airlines

Fort Worth, TX 76101

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Principal Business Quality Analyst (BQA) -Salesforce Commerce Cloud eB2B

Keurig Dr Pepper

Frisco, TX 75033

Hybrid~ 29 minEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in related field (e.g., Computer Engineering, Information Systems, etc.) or equivalent combination of education and work experience.
Typically, 8+ years of experience in business analysis, quality assurance, or a hybrid BQAtype role supporting enterprise platforms
5+ years of DSD industry and Tell sell experience preferred.
Demonstrated handson experience with digital commerce, ordering, or customerfacing platforms (eCommerce, eB2B, tell sales, portals, or sales ordering systems)
Experience working with Salesforce platforms, preferably Commerce Cloud, B2B Commerce, or integrated eB2B solutions
Proven ability to translate business requirements into clear, testable acceptance criteria
Strong communication skills with the ability to collaborate effectively with Product, Engineering, QA, and business stakeholders
Ability to identify gaps, risks, and edge cases early to protect solution quality and business outcomes
Should have strong analytical, critical thinking, process modeling and decision making skills
Native-level proficiency/fluent in English.
Experience validating end-to-end order-to-cash or order lifecycle flows across integrated systems
Experience working in DevOps and Agile technology environments. (preferred)
Collaborate and share lessons learned regarding performance and reliability issues with all stakeholders including developers, other SREs, operations teams, and project management teams.
Salesforce Commerce Cloud, OCM or related Salesforce certification preferred

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Field Risk Specialist

Datascan Technologies, LLC

Dallas, TX 75201

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

Candidates must be located in**Dallas, Texas**
High School diploma or GED required, college preferred
Two years or more of applicable experience in: floorplan auditing, banking/financial services, automotive, customer service, field services or related industry.
Valid driver's license with the ability to travel overnight (3 to 5 nights average of overnight travel monthly)
Basic computer literacy required
Occasional travel outside of local territory may be required from time-to-time
Lifting and moving boxes may be required from time-to-time
Verify in stock inventory by inspecting the VIN/serial number for each floorplanned inventory unit.
Meet with authorized dealership personnel to identify the disposition of missing inventory units.
Review and verify the authenticity of dealer records and other documentation associated with sold, missing and damaged inventory units.
Verify the status of MSOs and titles.
Record status information for each inventory unit in the Ai mobile audit application.
Record information about dealer visit.
Review audit results with dealer personnel.
Communicate with client representatives about audit results, dealer conditions, and risk potential.

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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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Application System Analyst Senior - IM Support Clinical

CHRISTUS Health

Irving, TX 75039

~ 22 min Onsite

5+ years within healthcare, business, or information systems
Associates or Bachelor's degree preferred with a focus in healthcare, business, or information systems
Proficient in Microsoft applications including Word, Excel, and PowerPoint
Excellent customer service skills
Highly effective written and verbal communication and interpersonal skills to establish working relationships that foster optimal quality teamwork and education
Strong organizational skills in managing multiple priorities
Develops new functionality for requests with little to no direction and leads multidisciplinary teams throughout project
Regularly serves as mentor or knowledge resource to peers across community
Works in a team setting, sharing information and assisting other junior level team members
Possesses detailed healthcare knowledge and systems expertise
Excellent project management and communication skills, both verbal and written
For Epic Analysts: Certified or proficient in assigned Epic module (must be obtained within 6 months of employment date)
Certifications or Proficiencies must stay current by maintaining new version training

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Digital Solution Consultant Senior Analyst

NTT DATA Services, LLC

Plano, TX 75086

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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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Actuarial Analyst II (Intermediate) – Forecasting Analytics

USAA

Plano, TX 75023

Paid Relocation to Plano, TX

RemoteFlexible 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.