Sr. Data Engineer & Scientist

Robertson, Anschutz, Schneid, Crane & Partners, PLLC; Boca Raton (FL); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Robertson, Anschutz, Schneid, Crane & Partners, PLLC is seeking a Senior Data Engineer/Scientist to design, build, and maintain enterprise-scale data platforms, pipelines, and AI-enabled applications enabling business operations and decision-making.

The role reports to the Director of AI & Automation and blends data engineering, data science, analytics, and AI integration to establish a modern data ecosystem that delivers trusted data intelligence and advanced analytics across the organization.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Data Analytics, Information Systems, Engineering, or a related field (Master's degree preferred).
• 5+ years of professional experience in Data Engineering, Data Science, Analytics, Automation or related technical discipline.
• Proven experience designing and implementing enterprise data platforms, data warehouses, lakehouses, and scalable ETL/ELT solutions.
• Strong hands-on expertise in SQL, Python, Spark, and modern cloud-based data platforms.
• Experience building scalable data pipelines, enterprise data integration solutions, and reporting datasets.
• Working knowledge of machine learning, predictive analytics, statistical modeling, and data science methodologies.
• Experience supporting AI initiatives including Generative AI, Document Intelligence, NLP, RAG, or related AI technologies.

Responsibilities

• Design, develop, and maintain enterprise data platforms, including data lakes, warehouses, lakehouses, semantic models, and medallion architectures.
• Build and optimize scalable ETL/ELT pipelines using Azure Databricks, Azure Data Factory, Microsoft Fabric, Snowflake, SQL, Python, Spark, AWS, GCP.
• Integrate data from internal applications, third-party systems, APIs, automation platforms, and external data sources.
• Develop enterprise data models, master data structures, and reusable datasets for reporting, analytics, automation, and AI initiatives.
• Support data migration, modernization, and consolidation efforts across business applications.
• Implement and maintain data governance, cataloging, lineage, data quality, auditing, observability, and security standards.

Skills

SQL

Python

Spark

Azure/AWS/GCP

Education

Bachelor's degree in Computer Science/Data Science/Engineering

Master's degree preferred

Tools

Azure Databricks

Snowflake

SQL/Data Warehousing

Job description

The SeniorDataEngineer&Scientist isahighlyskilledtechnicalprofessionalresponsiblefordesigning,building,andmaintainingenterprise-scaledataplatforms,datapipelines,analyticssolutions,andAI-enabledapplicationsthatsupportbusinessoperationsanddecision-makingacrosstheorganization.

ReportingtotheDirectorofAI&Automation,thisrolecombinesdataengineering,datascience,analytics,andAIintegrationresponsibilitiestoestablishamoderndataecosystemthatenablestrusteddataintelligence,advancedanalytics,predictiveinsights,andAI-drivensolutions.Theidealcandidateishands-on,delivery-focused,andpassionateabouttransformingdataintobusinessvaluewhilesupportingtheadoptionofAIandautomationcapabilitiesacrosstheenterprise.

TherolecollaboratescloselywithAIEngineers,AutomationEngineers,BIAnalysts,businessleaders,legaldomainexperts,andotherstakeholderstodeliverscalable,secure,andreliabledatasolutionsthatimproveoperationalefficiencyanddriveinnovation.

WorkArrangement:

HybridinBocaRaton,Florida

KeyResponsibilities:

• Design,develop,andmaintainenterprisedataplatforms,includingdatalakes,warehouses,lakehouses,semanticmodels,andmedallionarchitectures(Bronze,Silver,andGoldlayers).
• BuildandoptimizescalableETL/ELTpipelinesusingtechnologiessuchasAzureDatabricks,AzureDataFactory,MicrosoftFabric,Snowflake,SQL,Python,Spark,AWS,GCP,andsimilarcloud-nativetechnologies.
• Integratedatafrominternalapplications,third-partysystems,APIs,automationplatforms,andexternaldatasources.
• Developenterprisedatamodels,masterdatastructures,andreusabledatasetsthatsupportreporting,analytics,automation,andAIinitiatives.
• Supportdatamigration,modernization,andconsolidationeffortsacrossbusinessapplications.
• Implementandmaintaindatagovernance,cataloging,lineage,dataquality,auditing,observability,andsecuritystandards.

DataScience&AdvancedAnalytics

• Analyzestructuredandunstructureddatasetstoidentifytrends,patterns,opportunities,andactionablebusinessinsights.
• Developpredictivemodels,statisticalanalyses,andmachinelearningsolutionsthatimproveoperationaloutcomesanddecision-making.Createandsupportdataproducts,dashboards,KPIs,andperformancemetricsforbusinessandexecutivestakeholders.
• Supportexperimentation,modelevaluation,performancemonitoring,andcontinuousimprovementofanalyticsandmachinelearningsolutions.
• SupportthedevelopmentofAI-enabledapplications,GenerativeAIsolutions,IntelligentDocumentProcessing(IDP),andRetrieval-AugmentedGeneration(RAG)architectures.
• Prepare,curate,andoptimizeenterprisedatasetsformachinelearning,generativeAI,andagenticAIworkloads.
• DevelopandmaintaindatapipelinessupportingLargeLanguageModels(LLMs),DocumentIntelligence,vectordatabases,andAIplatforms.
• Enableenterprisesearch,knowledgemanagement,andcontextualdataaccesscapabilities.
• CollaboratewithAIEngineerstointegrateAIcapabilitiesintobusinessapplicationsandworkflows.
• Participateinthefullsolutionlifecycle,includingrequirementsgathering,design,development,testing,deployment,monitoring,andsupport.
• Ensurecompliancewithenterprisesecurity,privacy,governance,andregulatoryrequirements.
• Monitorandoptimizeplatformperformance,scalability,reliability,andcostefficiency.
• Collaboratewithcross-functionalteamstodeliverhigh-quality,business-focusedsolutions.
• Contributetotechnicalstandards,bestpractices,documentation,andcontinuousimprovementinitiatives.

RequiredQualifications

• Bachelor'sdegreeinComputerScience,DataScience,DataAnalytics,InformationSystems,Engineering,orarelatedfield(Master'sdegreepreferred).
• 5+yearsofprofessionalexperienceinDataEngineering,DataScience,AnalyticsEngineering,Automationorarelatedtechnicaldiscipline.
• Provenexperiencedesigningandimplementingenterprisedataplatforms,datawarehouses,lakehouses,andscalableETL/ELTsolutions.
• Stronghands-onexpertiseinSQL,Python,Spark,andmoderncloud-baseddataplatforms.
• Experiencebuildingscalabledatapipelines,enterprisedataintegrationsolutions,andreportingdatasets.
• Workingknowledgeofmachinelearning,predictiveanalytics,statisticalmodeling,anddatasciencemethodologies.
• ExperiencesupportingAIinitiatives,includingGenerativeAI,DocumentIntelligence,NLP,RAG,orrelatedAItechnologies.
• Strongunderstandingofdatagovernance,metadatamanagement,dataquality,security,andcomplianceprinciples.
• Excellentanalytical,problem-solving,andstakeholdercommunicationskills.
• ExperienceworkingwithinMicrosoftAzure,AWS,orGoogleCloudenvironmentsandmodernDevOpspractices.

PreferredSkills

Robertson, Anschutz, Schneid, Crane & Partners, PLLC is a national law firm specializing in creditors’ rights and real estate law, offering employees the opportunity to work on high-impact legal matters in a fast-paced, collaborative environment with strong growth potential. RASCP fosters a collaborative, performance-driven culture where employees are empowered to take ownership of their work, contribute to meaningful client outcomes, and continuously develop their skills within a fast-paced, evolving legal environment. Employees benefit from exposure to complex, high-impact legal matters, creating opportunities for professional growth, specialization, and long-term career development in a dynamic and essential sector of the legal industry.

With a team of over 1,100 professionals operating across 20 states, RASCP has a strong reputation for delivering innovative, efficient, and results-driven legal solutions in areas including foreclosure, bankruptcy, litigation, compliance, and real estate matters. RASCP combines the resources and reach of a large organization with a client-focused, boutique-style approach, allowing teams to provide tailored solutions while maintaining strong attorney-client relationships.