Sr. Data Engineer & Scientist

The Senior Data Engineer &Scientist isahighlyskilledtechnicalprofessionalresponsiblefordesigning,building,andmaintainingenterprise-scaledataplatforms,data pipelines,analyticssolutions,andAI-enabledapplicationsthatsupportbusinessoperationsanddecision-makingacrosstheorganization.

Reportingtothe

DirectorofAI&Automation,thisrolecombinesdataengineering,data science,analytics,andAIintegrationresponsibilitiestoestablishamoderndataecosystemthatenablestrusteddataintelligence,advanced analytics,predictiveinsights,andAI-driven solutions.

Theidealcandidateishands-on,delivery-focused,andpassionateabouttransformingdataintobusinessvaluewhilesupportingtheadoptionofAIandautomationcapabilitiesacrosstheenterprise.

TherolecollaboratescloselywithAIEngineers,Automation Engineers,BIAnalysts,business leaders,legaldomainexperts,andotherstakeholderstodeliverscalable,secure,andreliabledatasolutionsthatimproveoperationalefficiencyanddriveinnovation.

Hybrid in Boca Raton, Florida

• Design,develop,andmaintainenterprisedataplatforms,includingdatalakes,warehouses,lake houses,semantic models,andmedallionarchitectures(Bronze,Silver,and Goldlayers).
• BuildandoptimizescalableETL/ELTpipelinesusingtechnologiessuchas Azure Databricks ,Azure Data Factory ,Microsoft Fabric,Snowflake,SQL,Python,Spark,AWS,GCP,andsimilarcloud-nativetechnologies.
• Integratedatafrominternalapplications,third-party systems,APIs,automationplatforms,andexternaldatasources.
• Developenterprisedatamodels,masterdatastructures,andreusabledatasetsthatsupportreporting,analytics,automation,andAIinitiatives.
• Supportdatamigration,modernization,andconsolidationeffortsacrossbusinessapplications.
• Implementandmaintaindatagovernance,cataloging,lineage,data quality,auditing,observability,andsecuritystandards.

• Analyzestructuredandunstructureddatasetstoidentifytrends,patterns,opportunities,andactionablebusinessinsights.
• Developpredictivemodels,statisticalanalyses,andmachinelearningsolutionsthatimproveoperationaloutcomesanddecision-making.
  
  Createandsupportdataproducts,dashboards,KPIs,andperformancemetricsforbusinessandexecutivestakeholders.
• Supportexperimentation,modelevaluation,performance monitoring,andcontinuousimprovementofanalyticsandmachinelearningsolutions.
• SupportthedevelopmentofAI-enabled applications,GenerativeAIsolutions,Intelligent Document Processing (IDP),and Retrieval-Augmented Generation(RAG) architectures.
• Prepare,curate,andoptimizeenterprisedatasetsformachinelearning,generative AI,andagenticAIworkloads.
• Developandmaintaindatapipelinessupporting Large Language Models (LLMs),Document Intelligence,vectordatabases,andAIplatforms.
• Enableenterprisesearch,knowledgemanagement,andcontextualdataaccesscapabilities.
• CollaboratewithAIEngineerstointegrateAIcapabilitiesintobusinessapplicationsandworkflows.
• Participateinthefullsolutionlifecycle,includingrequirementsgathering,design,development,testing,deployment,monitoring,and support.
• Ensurecompliancewithenterprisesecurity,privacy,governance,andregulatoryrequirements.
• Monitorandoptimizeplatformperformance,scalability,reliability,andcostefficiency.
• Collaboratewithcross-functionalteamstodeliverhigh-quality,business-focused solutions.
• Contributetotechnicalstandards,best practices,documentation,andcontinuousimprovementinitiatives.

• Bachelor'sdegreein
  
  Computer
  
  Science,Data Science,Data Analytics,Information Systems,Engineering,orarelatedfield(Master'sdegreepreferred).
• 5+yearsofprofessionalexperiencein
  
  Data Engineering,Data Science,Analytics Engineering,Automationorarelatedtechnicaldiscipline.
• Provenexperiencedesigningandimplementingenterprisedataplatforms,data warehouses,lake houses,andscalableETL/ELTsolutions.
• Strong hands-onexpertiseinSQL,Python,Spark,andmoderncloud-baseddataplatforms.
• Experiencebuildingscalabledatapipelines,enterprisedataintegrationsolutions,andreportingdatasets.
• Workingknowledgeofmachinelearning,predictive analytics,statisticalmodeling,anddatasciencemethodologies.
• ExperiencesupportingAIinitiatives,including
  
  Generative AI,Document Intelligence,NLP,RAG,orrelatedAItechnologies.
• Strongunderstandingofdatagovernance,metadata management,data quality,security,andcomplianceprinciples.
• Excellent analytical,problem-solving,andstakeholdercommunicationskills.
• Experienceworkingwithin Microsoft Azure ,AWS,orGoogle Cloudenvironmentsandmodern Dev Ops practices .