4 data engineer remote jobs at 4 companies in Belton, TX

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Pavement Management Engineer
Austin or Ridgeland or Chicago or Atlanta or Denver or Round Rock
$112k-$147k/yr RemoteFull Time
Michael Baker International
Michael Baker International: Engineering and consulting services for global infrastructure projects.
5+ YOEBachelor's in civil engineering, licensed PE, 5+ years relevant experience, pavement management system implementation, pavement data analysis (PCI, IRI, distress), proficiency with Microsoft Office, SQL/Python and GIS preferred.
Microsoft Excel, Microsoft Word, Microsoft PowerPoint, SQL, Python, ArcGIS, QGIS, LCMS, GPR, TSD, FWD, inertial profilers
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Salesforce Developer- Mid Level
Fairfax or Knoxville or Lafayette or Belton
$71k-$157k/yr RemoteFull Time
CGI
CGINYSE: GIB: Provides information technology and business consulting services.
4+ YOEBachelor's in CS or related (or 7 years experience);4+ years Salesforce development experience;US citizenship or green card;Apex, Lightning, integrations, data management, documentation and Agile experience.
Apex, Visualforce, Lightning, Aura, JavaScript, Bolt, MuleSoft, Anypoint Platform, REST, SOAP, Platform Events
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National Mechanical Estimator - Advanced Technology Group
Phoenix or Alexandria or Savannah or Detroit or Arlington or Denver
$140k-$217k/yr RemoteFull Time
Turner Construction
Turner ConstructionFrankfurt Stock Exchange: HOT: Constructs and manages large-scale commercial and infrastructure buildings.
10+ YOEEstimate MEPT/LV systems for data center and related projects; 10+ years experience; Bachelor's in engineering/architecture/construction management; strong collaboration and communication skills.
Microsoft Office, SourceBlue, Estimating software
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Product Manager II
Morristown or Washington or Atlanta or Nashville or Boston or Chicago or Dallas or Richardson or Austin or Houston or United States
$70k-$200k/yr RemoteFull Time
Kroll
Kroll: Provides global risk and financial advisory solutions.
5+ YOE5+ years product management experience (≥2 years on data products), familiarity with commercial real estate valuation, experience with structured data ingestion/normalization/deduplication, ability to manage distributed engineering teams, strong written communication, comfort with regulated/confidential data.