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Engineering Manager Data Platform

Dallas,TX

1308 Engineering Manager Data Platform jobs in Dallas,TX

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AP Product Center Manufacturing Engineering Mgr - L5

Lockheed Martin Corporation

Grand Prairie, TX 75052

~ 28 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in an associated discipline or equivalent combination of experience and education.
  • Manufacturing Engineering Experience
  • Prior experience in a leadership capacity
  • Experience with development programs & transitioning development programs to production
  • Experience in design for manufacturing / assembly or design to cost
  • Must be a U.S. Citizen and have the ability to obtain a security clearance
  • Ability to lead cross functional teams
  • Demonstrated effective communication skills including verbal, listening, technical writing and presentations
  • Demonstrated effective interpersonal skills, including team building, collaboration and developing enduring business relationships
  • Ability to liaison between LM Subcontractors, internal disciplines, and Production Operations
  • Ability to build positive relationships with the customers
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Manager, Data Engineer - Databricks

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

  • Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer; preferably Databricks certified
  • Bachelor's degree in Engineering, Information Technology, Computer Science or a related field from an accredited college/university
  • Experience in leading projects relating to cloud modernization, data migration, data warehousing experience with cloud-based data platforms (Databricks) and experience with (preferably driving) technical workshops with technical and business clients to derive value added services and implementations
  • Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms; experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP; hands-on technical experience with SQL and Apache Spark
  • 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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Commissioning Engineer

Amazon Data Services

Dallas, TX 75215

Requires TravelUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience
  • Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience
  • High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others.
  • Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design.
  • Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements.
  • U.S Citizenship Required
  • Ability and willingness to travel domestic and internationally for up to 80% of the year.
  • Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
  • Walk job sites in uneven terrain
  • Work at heights and from ladders
  • Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
  • Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
  • Carry objects weighing up to 49 pounds for short distances
  • Perform physical tasks throughout the day without becoming overly tired
  • Ability to manipulate small wires and objects easily
  • Work in a noisy environment
  • Work in environments that are colder or hotter than a normal office environment
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Advanced Programs LOB Manufacturing Engineering Mgr - L5

Lockheed Martin Corporation

Grand Prairie, TX 75052

RemoteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in an associated discipline or equivalent combination of experience and education.
  • 5+ years of leadership experience
  • Manufacturing Engineering Experience
  • Experience with development programs & transitioning development programs to production
  • Experience in design for manufacturing / assembly or design to cost
  • Must be a U.S. Citizen and have the ability to obtain a security clearance
  • Ability to lead cross functional teams
  • Demonstrated effective communication skills including verbal, listening, technical writing and presentations
  • Demonstrated effective interpersonal skills, including team building, collaboration and developing enduring business relationships
  • Ability to liaison between LM Subcontractors, internal disciplines, and Production Operations
  • Ability to build positive relationships with the customers
SmartExplore AI is experimental.
View now
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Commissioning Engineer

Amazon Data Services

Dallas, TX 75215

Requires TravelUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience
  • Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience
  • High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others.
  • Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design.
  • Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements.
  • U.S Citizenship Required
  • Ability and willingness to travel domestic and internationally for up to 80% of the year.
  • Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
  • Walk job sites in uneven terrain
  • Work at heights and from ladders
  • Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
  • Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
  • Carry objects weighing up to 49 pounds for short distances
  • Perform physical tasks throughout the day without becoming overly tired
  • Ability to manipulate small wires and objects easily
  • Work in a noisy environment
  • Work in environments that are colder or hotter than a normal office environment
SmartExplore AI is experimental.
View now
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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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Lead, Systems Engineering - Link 22

L3 Harris

Rockwall, TX 75087

~ 32 min OnsiteBilingual Preferred

  • Bachelor's degree in electrical engineering technology and minimum of 9 years of relevant experience (Software Engineer also considered with relevant experience).
  • Graduate Degree and a minimum of 7 years of prior related experience.
  • In lieu of a degree, a minimum of 13 years of prior related experience.
  • Active DoD Secret Clearance with eligibility for TS/SCI; requires U.S. Citizenship.
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Category Manager – Pipe, Valves & Fittings (PVF)-Dallas, TX

Top Tempo Technical

Dallas, TX 75217

$155,000/yr
Requires TravelUrgently Hiring

  • 5+ years of experience within the Pipe, Valves & Fittings (PVF) industry required.
  • Travel required as needed, with increased travel anticipated during the first six months
  • Ability and willingness to travel as needed.
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11 - Senior Manager, Test Manufacturing Engineering

Celestica

Richardson, TX 75080

~ 18 min Onsite

  • Senior Manager, Test Manufacturing Engineering
  • 3+ years of experience in hardware test development, manufacturing test software execution, or diagnostic code engineering
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or closely related field
  • The Test Development Engineer is responsible for architecting, coding, and deploying advanced hardware and software test solutions across all manufacturing stages of high-performance compute infrastructure
  • DFT Optimization: Analyze circuit schematics and layout files to ensure adequate physical test point allocation, maximizing structural test access metrics before design release
  • Silicon Diagnostic Hookup: Collaborate with tier-1 chip vendors (e.g., Nvidia, Broadcom, Marvell) to implement and exercise built-in self-test (BIST), custom firmware loops, and JTAG boundaries
  • Automated Software Architecture: Develop, debug, and maintain scalable automated test code scripts using Python, C/C++, or LabVIEW to control instruments and extract diagnostics
  • Fixture & Interface Design: Specify, debug, and qualify hardware test interfaces, bed-of-nails fixtures, loopback cards, and switching matrices for ICT, FCT, and System-Level Test (SLT)
  • Coverage Metric Validation: Map and maintain comprehensive test coverage matrices, linking structural diagnostic coverage to systemic product escape mitigations
  • Production Tuning & Analytics: Yield & GR&R; Optimization: Perform Gauge R&R; studies, stability analysis, and statistical limit tuning (SPC) to eradicate false-failures and optimize overall test sequence cycle times
  • Debug & Failure Analytics: Provide rapid deep-dive diagnostic support for initial prototype failures, cross-referencing diagnostic log outputs with SMT and box build history to identify systemic defects
  • Knowledge/Skills/Competencies: Software Fluency: Strong proficiency coding in Python, C/C++, Linux shell scripting, or LabVIEW within test automation environments
  • Knowledge/ Skills/Competencies: Hardware Fluency: Expertise operating oscilloscopes, spectrum analyzers, high-speed BERTs, and boundary scan tools (e.g., JTAG Provision, Corelis). Deep understanding of ICT/FCT/SLT platforms
  • Physical Demands: Duties of this position are performed in a manufacturing environment with frequent exposure to elements such as noise, dust, chemicals, operating machinery, temperature extremes, etc.
  • Duties of this position require periodic light physical effort and exertion including prolonged repetitive motion, standing, sitting in a confined work space, climbing, using equipment, handling lightweight materials, etc.
  • Duties of this position require periodic heavy manual effort and considerable exertion including lifting objects over 20 pounds, requiring straining, pulling and lifting.
  • Duties may require periodic sustained visual concentration on a computer monitor or on numbers and other detailed data.
  • May require occasional travel.
  • Educational requirements may vary by geography.
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Staff Databricks Platform Engineer

Southern Glazer's Wine & Spirits

Dallas, TX 75254

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or related field, or equivalent combination of education and work experience.
  • Typically, 6-9+ years of experience in data management disciplines (e.g., data integration, modeling, optimization) or areas relevant to data engineering tasks (e.g., data visualization, business intelligence).
  • Excellent verbal, written, presentation, and facilitation skills, with the ability to communicate effectively with technical teams, business stakeholders, and executive leadership.
  • Strong experience in DevOps and Agile technology environments.
  • Proven ability to lead data engineering projects and initiatives.
  • Physical demands include a considerable amount of time sitting and typing/keyboarding, using a computer (e.g., keyboard, mouse, and monitor), or adding machine
  • Physical demands with activity or condition may include walking, bending, reaching, standing, squatting, and stooping
  • May require occasional lifting/lowering, pushing, carrying, or pulling up to 20lbs
SmartExplore AI is experimental.
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