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Aws Sales Engineer Data Ai

Houston,TX

1089 Aws Sales Engineer Data Ai jobs in Houston,TX

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Senior Forward Deployed Engineer- AWS

Deloitte

Houston, TX 77007

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**Travel Splicing Supervisor, Data Center*

ADB Companies

Stafford, TX 77477

$70,000/yr
Requires TravelUrgently Hiring

  • 6-10 years of ISP cable installation experience required
  • 2+ years of data center buildout experience required
  • 2+ years of CO (central office) buildout/frame certification experience required
  • 2+ years of experience as a Lead/Foreman, leading crews onsite required
  • BICSI Installer certification required
  • Man lift & CPR certification required
  • OSHA 30 required
  • High school diploma or equivalent required
  • 100% Travel ability nationwide
  • All candidates agree to complete a selection assessment
  • Pre-employment drug screen
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Energy Advisor- Commercial Sales

5

Houston, TX 77246

RemoteUrgently Hiring

  • 3 or more years' experience in the energy industry (retail gas and/or electricity, sustainability, solar, demand response, etc.) or an industry that easily translates
  • 3+ years of experience in B2B outside sales
  • BA/BS degree preferred
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New Product Development Engineer

Dover Corporation

Houston, TX 77047

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Mechanical Engineering, Aerospace Engineering, or Mechatronics
  • 3+ years in an NPD, R&D;, or test lab environment focusing on heavy industrial machinery
  • Experience working around high-pressure gas loops and high-rotational-speed equipment
  • Reciprocating Compressors: Deep understanding of the work principles, system-level design and maintenance considerations for reciprocating compressors; in addition to component-level knowledge around sealing systems (pressure packing cases, piston and rod rings, static seal systems),, and valves, lubrication, cooling and venting auxiliaries Previous hands-on experience on compressors highly preferred.
  • Turbomachinery: Familiarity with high-speed fluid film bearings, magnetic bearings, and dry gas seals highly preferred.
  • Tribology: Strong grasp of friction, wear, and lubrication mechanisms in sealing interfaces, strong familiarity with materials used in critical components of heavy machinery Familiarity with materials testing and hands-on materials lab experience highly preferred.
  • Data Acquisition (DAQ): Advanced proficiency in National Instruments (NI) hardware and LabVIEW programming.
  • Instrumentation: Hands-on experience calibrating and troubleshooting industrial sensors. Previous experience on design and construction of control systems, including electronics, sensors and programming highly desirable.
  • CAD/CAE: Ability to generate designs and manufacturing drawings with SolidWorks, Autodesk Inventor, or similar, and demonstrated experience for test fixture design.
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Cloud Engineer(GCP) - Google Public Cloud Engineering

SYSCO

Houston, TX 77001

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Warehouse Supervisor

Keurig Dr Pepper

North Houston, TX 77315

$75,000-$90,000/yr
~ 30 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • High school diploma or general equivalency diploma preferred (GED)
  • 3 years of demonstrated leadership experience in warehouse/distribution center operations
  • 2 years of experience with Microsoft Excel
  • 2 years analyzing data associated with processes, identifying opportunities, and providing recommendations for improvement
  • Relocation Available
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Remote Benefits Sales - Avg $60K-$90K First Year

Globe Life Virtual Sales

Houston, TX

RemoteUrgently HiringFlexible Schedule

  • No Experience Required
  • No prior experience is required
  • Reliable internet and a quiet workspace
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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 Manager, Customer Data&Analytics

Waste Management

Houston, TX 77001

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Production Engineering Technician

apsTemps

Sugar Land, TX 77479

$18-$24/hr
~ 27 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Vocational Course Graduate or Associate Degree in Electronics, Mechatronics, or related field.
  • 1 year of experience in equipment operation, troubleshooting, or device assembly in a manufacturing environment.
  • 3 years of experience as a Production or Equipment Technician in semiconductor, photonics, or electronics manufacturing.
  • Experience with automated machinery, sensors, pneumatic systems, or robotic handling equipment.
  • Experience with microscopes, soldering, hand tools, and measurement instruments.
  • Familiarity with failure mode analysis, rework processes, or quality control methods.
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