Transportation Systems Data Engineer

Accountabilities

• TransportationDataEngineeringandAnalytics:Process,analyze,andintegratelarge-scaletransportationdatasets,includingconnectedvehicle,telematics,trafficsensor,weather,crash,workzone,camera,andvehicletrajectorydata.Developanalyticalsolutionsthatsupporttrafficoperations,transportationsafety,incidentmanagement,andsystemperformancemonitoring.

• DataPipelineDevelopment:Design,build,test,andmaintainreliablebatchandstreamingdatapipelinesthatsupportanalytics,machinelearning,visualization,andoperationalapplications.Integrateinformationfrommultiplesourcesintounifiedtransportationdataplatforms.

• CloudArchitectureandDataProcessing:Developscalablecloud-baseddataarchitecturesandworkflowsusingplatformssuchasAWS,GoogleCloudPlatform(GCP),OracleCloud,Databricks,andAmazonS3.Optimizedataprocessing,storage,andintegrationworkflowstosupportlargeandcomplexanalyticalworkloads.

• MachineLearningandArtificialIntelligence:Develop,train,test,andevaluatemachinelearning,computervision,andAImodelsfortransportationapplications,includinglaneclosuredetection,traffic-sceneanalysis,safetymonitoring,andautomatedvideoanalytics.Exploreemergingtechniquessuchasobjectdetection,largelanguagemodels,andvision-languagemodels.

• DataVisualizationandDecisionSupport:Createinteractivedashboards,visualizations,andanalyticalapplicationsusingtoolssuchasTableau,PowerBI,RShiny,orsimilartechnologies.Translatecomplexanalyticalfindingsintoclearinsights,technicalreports,andrecommendationsfortransportationagenciesandsystemoperators.

• Cross-FunctionalCollaboration:Workcloselywithtransportationengineers,datascientists,softwaredevelopers,researchers,agencystakeholders,andtechnologyspecialiststhroughoutsolutiondesign,development,testing,andimplementation.Ensurethattechnicalsolutionsaddressoperationalrequirementsandreal-worldtransportationchallenges.

• ResearchandTechnicalDocumentation:Contributetotechnicalreports,researchpapers,presentations,projectproposals,andsupportingdocumentation.Communicatemethodologies,analyticalresults,andprojectoutcomestotechnicalandnontechnicalaudiences.

• AgileDevelopmentandContinuousImprovement:ParticipateinAgileandScrumworkflows,includingrequirementsdefinition,sprintplanning,peerreviews,testing,andtechnicaldemonstrations.Applycollaborativesoftwaredevelopmentpracticesandcontinuouslyimproveanalyticaltools,dataworkflows,andsolutionquality.

Requirements

• EducationandExperience:Bachelor'sdegreeinEngineeringorarelatedfield,alongwithatleastfiveyearsofrelevantprofessionalexperience.

• TransportationDataExpertise:Experienceanalyzingtransportation,connectedvehicle,trafficoperations,safety,telematics,mobility,orotherlarge-scaledatasets.Familiaritywithtransportationengineering,intelligenttransportationsystems,trafficsafety,andconnectedvehicleapplicationsishighlydesirable.

• ProgrammingandDataEngineering:Strongexperiencedevelopingdatapipelinesandworkingwithdataprocessing,transformation,andstoragetechnologies.ProficiencyinPythonandSQL,withexperienceinRorrelateddatasciencetools,isanadvantage.

• CloudTechnologies:Experiencewithcloud-baseddataplatformsandarchitectures.FamiliaritywithAWSservicessuchasS3,Glue,andAthena,orequivalentserviceswithinGCP,OracleCloud,orothercloudenvironments,ispreferred.

• BigDataProcessing:Knowledgeoflarge-scaledataprocessingtechnologies,includingPolars,SQL,distributedcomputing,orcomparabletoolsformanagingcomplexdatasets.

• MachineLearningandComputerVision:Experiencedevelopingandevaluatingmachinelearningmodelsusingclassification,objectdetection,computervision,orlargelanguagemodeltechniques.Exposuretovideo-processingpipelines,traffic-sceneanalysis,visualquestionanswering,orvision-languagemodelsisanadvantage.

• DataVisualization:Experiencebuildingdashboards,interactivevisualizations,oranalyticalapplicationsusingTableau,PowerBI,RShiny,orsimilarplatforms.

• DataIntegration:Abilitytointegrateandanalyzeinformationfrommultiplesources,includingtrafficsensors,vehiclesystems,weatherservices,crashrecords,workzones,andcameradata.

• SoftwareDevelopmentPractices:FamiliaritywithGitHub,versioncontrol,Agile,Scrum,peerreviews,testing,andcollaborativedevelopmentworkflows.

• AnalyticalandProblem-SolvingSkills:Abilitytoinvestigatecomplextransportationchallengesindependently,developpracticaltechnicalsolutions,andturnanalyticalresultsintoactionablerecommendations.

• CommunicationandCollaboration:Strongwrittenandverbalcommunicationskills,withtheabilitytoexplaintechnicalconceptsandfindingsclearlytomultidisciplinaryteams,transportationagencies,andnontechnicalstakeholders.

• ProfessionalEngagement:Demonstratedparticipationinorleadershipwithintransportationresearch,technicalorganizations,professionalassociations,orindustryconferences.

• SecurityRequirements:Nosecurityclearanceisrequiredforthisposition.

Benefits

• CompetitiveSalary:Annualbasesalaryrangingfrom$74,800to$130,900,dependingonqualifications,experience,andotherrelevantfactors.

• RemoteWork:FullyremotepositionavailabletocandidateslocatedanywhereintheUnitedStates.

• HealthcareCoverage:Medical,dental,andvisioninsurance.

• RetirementBenefits:Accesstoa401(k)retirementsavingsplan.

• EmployeeStockOwnership:ParticipationinanEmployeeStockOwnershipPlan(ESOP).

• PaidTimeOff:Paidleaveandholidaystosupportwork-lifebalanceandpersonalcommitments.

• LifeInsurance:Lifeinsurancecoverageaspartoftheemployeebenefitspackage.

• FlexibleScheduling:Flexibleworkschedulesdesignedtoaccommodatedifferentworkingstylesandpersonalneeds.

• CareerDevelopment:Opportunitiestoexpandtechnicalexpertise,workwithemergingdataandAItechnologies,andcontributetoinnovativetransportationinfrastructureprojects.

• MeaningfulWork:Theopportunitytoimprovetransportationsafety,mobility,infrastructureperformance,andcommunityresiliencethroughadvancedengineeringanddataanalytics.

• CollaborativeEnvironment:Workalongsidemultidisciplinaryexpertsonchallengingprojectsinvolvingtransportationengineering,cloudtechnologies,machinelearning,andintelligenttransportationsystems.

• SecurityClearance:Nosecurityclearanceisrequired.