712 Engineering Manager Data Platform jobs in Dallas,TX

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Sr Manager, Data & Analytics Platform

McKesson

Irving, TX 75061

RemoteUrgently Hiring

Senior Manager, Data & Analytics Platform
Leading a team that provides operational support, administration, and engineering services for enterprise data and analytics platforms
Day-to-day platform operations, service reliability, and team execution
Hands-on experience supporting and administering data and analytics platforms, with specific experience in Databricks, BI tools, and cloud-based data environments
Experience working in cloud environments (Azure preferred)
Typically 9+ years of professional experience and 2+ years of management experience
Current, unrestricted authorization to work in the United States on a permanent basis

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Software Engineer Mid-level (Java Full Stack)

USAA

Plano, TX 75023

Hybrid~ 27 minUrgently HiringFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree or 4 additional years of experience beyond the minimum requirement can be used in lieu of a degree OR Approved certification from CodeUp, Galvanize, VetFIT (Veterans for IT) or eFIT (Employees for IT).
4 years of software development experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s).
2 years of experience delivering technology solutions in all phases of the software systems and application development lifecycle to include leading code/design reviews.
Basic Understanding of one or more of the following: Java, Swift, Objective-C, Cobol, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python
Developing level of business acumen in the areas of business operations, risk management, industry practices and emerging trends.
Experience supporting efforts to address production issues through troubleshooting applications and systems.
Experience articulating technical challenges and solutions.
Basic understanding of cloud technologies and tools.

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Senior Engineer, IT Data

American Airlines

Fort Worth, TX 76101

RemoteHealth InsuranceRetirement Benefit

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
3+ years experience building data solutions, using agile and DevOps practices
3 years experience using SQL, Python and Spark
3 years experience with Cloud technologies (especially Microsoft Azure)
Expertise with a Cloud based technology stack for data management, ingestion, curation and consumption layers.

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Senior Engineering Operations Technician, Data Center Engineering & Operations

Amazon Data Services

Wilmer, TX 75172

Paid Relocation to Wilmer, TX

~ 21 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Ability to travel to or commute between data center locations as needed
Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational
Travel frequency will vary based on business needs and operational status of assigned facility
Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs.
2+ years of Microsoft Office products and applications experience
2+ years of electrical and mechanical experience
Ability to work on a flexible schedule including days, nights, and/or weekends.
• Willingness to and demonstrated ability to work in the following physical conditions with reasonable accommodations:
Regularly lift and/or move up to 39 pounds independently
Participate in group lifts for 40+ pounds
Maintain balance and perform construction tasks while on a ladder
Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position
Work in an environment requiring provided ear protection

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Director Data Engineering

McKesson

Irving, TX 75039

~ 22 min Onsite

12+ years experience of professional experience in related IT field with 4+ years experience in leadership, planning and communication roles.
Deep expertise in Microsoft Azure data services ecosystem (Azure Data Factory, Synapse Analytics, Data Lake Storage, Event Hubs, Cosmos DB)
Advanced proficiency with Databricks platform and advanced analytics workflows
Extensive experience with BI development, administration, and enterprise deployment
Strong foundation in modern data architectures, scalable Lakehouse using Medallion patterns and Unity Catalog; "RAG-ready" infrastructures and AI-driven data observability to automate quality and drift detection, real-time streaming, and event-driven systems
Proficiency in multiple programming languages (Python, Scala, SQL, .NET) and infrastructure
Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert)
Databricks certifications (Professional Data Engineer, Professional ML Practitioner)
Experience in regulated industries (healthcare, financial services, manufacturing)
Master's. Degree in Computer Science, Engineering or equivalent.

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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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Engineer/Sr Engineer, IT Software

American Airlines

Fort Worth, TX 76101

~ 44 min Onsite

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
3+ years of experience designing, developing, and implementing large-scale solutions in production environments
Proficiency with the following technologies:
Programming Languages: Java, Javascript/Typescript
Frameworks: Spring/SpringBoot, FastAPI
Front End Technologies: Angular/React
Deployment Technologies: Kubernetes, Docker
Source Control: GitHub, Azure DevOps
CICD: GitHub Actions, Azure DevOps
Data management: PostgreSQL, MongoDB, Redis
Integration/APIs Technologies: Kafka, REST, GraphQL
Cloud Providers such as Azure and AWS
Test Automation: Selenium, TestNG, Postman, SonarQube, Cypress, JUnit/NUnit/PyTest, Cucumber, Playwright, Wiremock/Mockito/Moq
Design and implement robust automation solutions using modern languages (Java, Python, C#, JavaScript/TypeScript) and frameworks such as Selenium, Playwright, TestNG, JUnit, and Cucumber
Build and maintain scalable test automation frameworks and integrate them seamlessly with CI/CD pipelines using GitHub Actions and Azure DevOps
Develop and execute API and integration tests leveraging technologies like REST, GraphQL, Kafka, SOAPUI, Postman, and service virtualization tools (WireMock, Mockito, Moq)
Perform performance and load testing using tools such as JMeter while ensuring system reliability, scalability, and resiliency
Manage automated test lifecycle including test design, execution, scheduling, maintenance, and detailed analysis of test results and logs using tools like Quality Center
Collaborate with cross-functional teams to gather requirements, validate designs, and ensure adherence to SDLC, Agile (Scrum), and DevOps best practices
Validate complex, distributed systems across cloud platforms (Azure, AWS) and containerized environments (Docker, Kubernetes)
Apply strong knowledge of data validation and backend testing using PostgreSQL, MongoDB, Redis, and ensure data integrity across systems
Optimize system quality and test strategy by applying quality engineering principles, metrics, and continuous improvement practices
Demonstrate strong communication, analytical, and organizational skills while managing multiple priorities, adapting to change, and driving high-quality deliverables across teams

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Software Engineer (Agentic AI/Data Engineering)

Gartner

Irving, TX 75039

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Manager, AI Engineer

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
Knowledge of AI security, data privacy, governance, and ethical AI frameworks
Strong problem-solving skills with the ability to translate complex technical concepts for executives
Excellent verbal and written communication skills, with experience creating client-facing deliverables
Willingness and ability to travel
Applicants 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

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