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Data Platform Engineer Big Data Hadoop

Houston,TX

446 Data Platform Engineer Big Data Hadoop jobs in Houston,TX

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Data Entry Clerk Work From Home - Part-Time Focus Group Participants ($750/Week)

Apex Focus Group - Houston, TX

Apex Focus Group - Houston, TX

Data Entry Clerk Work From Home - Part-Time Focus Group Participants ($750/Week)
$750/wk
RemoteNo Experience
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Product Design Engineer

Celeros Flow Technology

Houston, TX 77041

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 3-5 years of design experience or related experience in product design.
  • A bachelor's degree in Mechanical Engineering.
  • Experience with CAD.
  • Product support and sustaining.
  • Experience working in a manufacturing environment.
  • Experience designing valves.
  • Strong background in design, in theory, and practical application required.
  • Knowledge of ASME B16.34, API 6D, and industry standards for the industry.
  • Proven ability to interact with all levels of employees from senior managers down.
  • Outstanding relationship building skills with the ability to effectively communicate, verbally and in writing, at every level, strong listening skills.
  • Ability to be resourceful, think creatively and analytically, problem-solve, experiment, and adapt, and make bold decisions and recommendations.
  • Determine, suggest, and implement technically feasible and economically viable alternatives for the current product.
  • Analyze and evaluate how to improve a system and/or equipment's sustainability under continued operation, maintenance, and unexpected change.
  • Develop design changes to resolve operational issues, introduce new materials and revise product, process, and test specifications to enhance product quality, design integrity, reliability and manufacturability.
  • Ability to work in a fast-paced environment and thrive under pressure.
  • Ability to manage and prioritize competing tasks and projects; strong organizational skills.
  • Must be a team player who can also work independently.
  • Proven track record of meeting commitments with the highest level of standards, ethics, and integrity.
  • Energetic with a clear sense of urgency and direction; able to inspire and invigorate associates at all levels; promote concepts effectively.
  • Knowledge of Microsoft Office applications, including Outlook, Word, Excel, and PowerPoint.
  • Ability to travel up to 10%.
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New, Posted 23 hours ago
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Manager, Data Analytics

McKesson

Spring, TX 77380

Hybrid~ 53 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 in analytics, business intelligence, or a similar role.
  • Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code
  • Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker)
  • Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation
  • Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience
  • Solid understanding of data modeling and BI best practices
  • Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows
  • Experience replacing or modernizing RPA automations
  • Background in healthcare, pharma, or distribution
  • On-site at our Las Colinas office a minimum of two (2) days per week with the remaining days worked remotely
  • 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 Company does not provide employer support or sponsorship for any immigration related employment benefit for this role
  • McKesson is an Equal Opportunity Employer
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Senior NDT Engineer - Advanced Inspection Technologies

NOV

Houston, TX 77051

Onsite

  • Bachelor's degree in Physics, Engineering, Mathematics, or a related technical discipline.
  • 5+ years of experience in nondestructive testing (NDT) or nondestructive evaluation (NDE).
  • Hands-on experience with ultrasonic testing technologies.
  • Experience supporting the design, development, testing, or implementation of inspection systems.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to work independently and within a multidisciplinary engineering team.
  • Ability to work in both office and laboratory environments.
  • Ability to occasionally travel to manufacturing facilities, customer locations, and field operations.
  • Ability to lift and handle inspection equipment as required.
  • Ability to stand, walk, and perform testing activities for extended periods when necessary.
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Manufacturing Engineer

Dover Corporation

Houston, TX 77047

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in an Engineering discipline
  • 2+ years' manufacturing operations engineering experience
  • Practical knowledge of continuous improvement practices, formal problem solving (Ishikawa Diagram, A3, 5 Why, etc.,), and lean manufacturing principles
  • Proficiency in Microsoft Office tools as needed to create spreadsheets, standard work instructions, and other documents
  • Practical knowledge of CNC programming
  • Experience in creating work routers and bills of material
  • Experience in successfully leading projects with cross-functional teams
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Manufacturing Engineer

Standex International

Sugar Land, TX 77479

~ 27 min Onsite

  • Degree in engineering, preferably in manufacturing, mechanical, or industrial engineering.
  • Proven experience in Lean manufacturing engineering or a related field, preferably in a production environment
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Production Line Support (coating)

The Timken Company

Houston, TX 77032

Onsite

  • Must understand and comply with all safety rules
  • Must understand and comply with ISO 9001
  • Basic math and geometry knowledge
  • Basic measurement and print reading skills
  • High attention to detail
  • Follow safety guidelines include wearing required PPE
  • Accurately measure and record all pertinent data
  • Document discrepancies in materials and/or process
  • Self-inspect work produced as well as work produced by others
  • Monitor inventory of raw materials, tools, and supplies
  • Produce a quality coating and coated product by following written and verbal instructions
  • Communicate to management any quality issues and non-conformances
  • Continue to learn and assist in developing new techniques for new products
  • Maintain all work areas in a clean and orderly manner
  • Perform other job-related duties as assigned
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Nuclear Engineer

US Navy

West University Place, TX 77005

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Lead Media Systems Engineer (Supervisory Duties)

Disney Entertainment and ESPN Product & Technology Careers

The Woodlands, TX 77375

$123,000-$165,000/yr
New, Posted 1 day ago
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Senior Applications Engineer-Automation Estimating

Powell Industries

Houston, TX 77246

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • B.S. in Electrical Engineering or relevant discipline
  • 4+ years of experience in electrical equipment estimating, or related field.
  • Able to review and interpret client provided documents such as specifications, drawings and data sheets.
  • Strong analytical skills is required
  • Experience with Microsoft Office Suite required.
  • Experience with ERP system Oracle
  • Successful candidates must have a legal authorization to work in the United States on a full-time basis
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Senior Machine Learning Engineer

BP

Houston, TX 77002

HybridFlexible Schedule

  • MSc or PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline).
  • Hands-on experience (typically 5+ years) designing, prototyping, productionizing, maintaining, and scaling ML/data science products in sophisticated environments.
  • Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques — with a track record of applying these to build production-grade solutions.
  • Applied knowledge of data science and ML tools across all stages of the data and model lifecycle.
  • Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing.
  • Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++).
  • Advanced SQL knowledge.
  • Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring.
  • Knowledge of experimental design, analysis, and scientific methodology.
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