{"schemaVersion":"jobsearcher.job.v1","id":"65b9fc59e2cf08f4ee498dda","url":"https://jobsearcher.com/jobs/65b9fc59e2cf08f4ee498dda","canonicalUrl":"https://jobsearcher.com/jobs/65b9fc59e2cf08f4ee498dda","title":"Senior Data Engineer","description":"Copilot said:Senior Data Engineer📍 100% Remote (U.S.)💰 $140,000 - $180,000 + Bonus📍 Orlando, FL (Company Headquarters)🏢 Direct HireAbout the OpportunityWe are seeking a Senior Data Engineer to join a growing data organization focused on building modern, scalable cloud-based data platforms. This role will be responsible for designing and optimizing data pipelines, supporting enterprise analytics initiatives, and helping drive the evolution of a cloud-first Lakehouse architecture.The ideal candidate brings deep expertise in data engineering, data warehousing, and cloud technologies, along with a passion for building reliable, high-performance data solutions that empower business decision-making.What You'll DoData Platform & ArchitectureDesign and implement scalable Lakehouse and data warehouse solutions in AWS.Build and maintain robust data pipelines for ingesting, transforming, and curating large datasets.Develop and optimize data models, schemas, and storage strategies.Support data cataloging, metadata management, and governance initiatives.Data EngineeringDevelop ETL/ELT pipelines using Python, PySpark, AWS Glue, and related technologies.Create batch and streaming data processing solutions.Build transformation workflows using dbt.Optimize performance across large-scale data processing and analytics environments.Workflow Orchestration & AutomationDesign and support workflow orchestration using Apache Airflow.Monitor pipeline health and implement automated alerting and recovery processes.Develop CI/CD processes for data engineering workflows.Promote automation and infrastructure-as-code best practices.Data Quality & GovernanceEnsure data accuracy, consistency, reliability, and security.Implement monitoring, validation, and lineage solutions.Maintain technical documentation and support governance frameworks.CollaborationPartner with data consumers, analysts, and engineering teams to deliver scalable solutions.Enable self-service analytics through well-designed datasets and semantic models.Contribute to architectural decisions and engineering best practices.Required Qualifications7+ years of data warehousing and OLAP experience7+ years of data modeling, database architecture, and schema design experience5+ years of SQL experience3+ years of Python development experienceExperience with AWS-based data platforms and servicesHands-on experience with:AWS S3RedshiftAWS GlueApache AirflowPySparkdbtExperience building ETL/ELT pipelines and integrating data from APIsStrong understanding of dimensional modeling and data warehouse designExperience implementing CI/CD pipelines for data workflowsExperience with data cataloging and metadata managementExcellent communication and collaboration skillsPreferred QualificationsExperience with real-time or streaming data architecturesExposure to business intelligence platforms such as Tableau, Amazon QuickSight, or LookerExperience supporting large-scale cloud analytics environmentsKnowledge of modern DataOps and infrastructure automation practicesWhy Join?Fully remote opportunityCompetitive compensation packageAnnual bonus potentialOpportunity to work with modern cloud and data technologiesCollaborative engineering environmentHigh-impact role supporting enterprise-scale analytics initiativesInterested in learning more? Apply today to discuss this opportunity and determine if it's the right fit for your background and career goals.“Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits,EAP program, commuter benefits, and 401K plan. Our program provides employees the flexibility to choose the typeof coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required bylaw; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.”“Equal Opportunity Employer/Veterans/DisabledTo read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacyThe Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:• The California Fair Chance Act• Los Angeles City Fair Chance Ordinance• Los Angeles County Fair Chance Ordinance for Employers• San Francisco Fair Chance Ordinance”","company":"LHH","rawCompany":"lhh","city":"Springfield","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-10-07T04:05:54.809Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer","description":"Copilot said:Senior Data Engineer📍 100% Remote (U.S.)💰 $140,000 - $180,000 + Bonus📍 Orlando, FL (Company Headquarters)🏢 Direct HireAbout the OpportunityWe are seeking a Senior Data Engineer to join a growing data organization focused on building modern, scalable cloud-based data platforms. This role will be responsible for designing and optimizing data pipelines, supporting enterprise analytics initiatives, and helping drive the evolution of a cloud-first Lakehouse architecture.The ideal candidate brings deep expertise in data engineering, data warehousing, and cloud technologies, along with a passion for building reliable, high-performance data solutions that empower business decision-making.What You'll DoData Platform & ArchitectureDesign and implement scalable Lakehouse and data warehouse solutions in AWS.Build and maintain robust data pipelines for ingesting, transforming, and curating large datasets.Develop and optimize data models, schemas, and storage strategies.Support data cataloging, metadata management, and governance initiatives.Data EngineeringDevelop ETL/ELT pipelines using Python, PySpark, AWS Glue, and related technologies.Create batch and streaming data processing solutions.Build transformation workflows using dbt.Optimize performance across large-scale data processing and analytics environments.Workflow Orchestration & AutomationDesign and support workflow orchestration using Apache Airflow.Monitor pipeline health and implement automated alerting and recovery processes.Develop CI/CD processes for data engineering workflows.Promote automation and infrastructure-as-code best practices.Data Quality & GovernanceEnsure data accuracy, consistency, reliability, and security.Implement monitoring, validation, and lineage solutions.Maintain technical documentation and support governance frameworks.CollaborationPartner with data consumers, analysts, and engineering teams to deliver scalable solutions.Enable self-service analytics through well-designed datasets and semantic models.Contribute to architectural decisions and engineering best practices.Required Qualifications7+ years of data warehousing and OLAP experience7+ years of data modeling, database architecture, and schema design experience5+ years of SQL experience3+ years of Python development experienceExperience with AWS-based data platforms and servicesHands-on experience with:AWS S3RedshiftAWS GlueApache AirflowPySparkdbtExperience building ETL/ELT pipelines and integrating data from APIsStrong understanding of dimensional modeling and data warehouse designExperience implementing CI/CD pipelines for data workflowsExperience with data cataloging and metadata managementExcellent communication and collaboration skillsPreferred QualificationsExperience with real-time or streaming data architecturesExposure to business intelligence platforms such as Tableau, Amazon QuickSight, or LookerExperience supporting large-scale cloud analytics environmentsKnowledge of modern DataOps and infrastructure automation practicesWhy Join?Fully remote opportunityCompetitive compensation packageAnnual bonus potentialOpportunity to work with modern cloud and data technologiesCollaborative engineering environmentHigh-impact role supporting enterprise-scale analytics initiativesInterested in learning more? Apply today to discuss this opportunity and determine if it's the right fit for your background and career goals.“Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits,EAP program, commuter benefits, and 401K plan. Our program provides employees the flexibility to choose the typeof coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required bylaw; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.”“Equal Opportunity Employer/Veterans/DisabledTo read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacyThe Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:• The California Fair Chance Act• Los Angeles City Fair Chance Ordinance• Los Angeles County Fair Chance Ordinance for Employers• San Francisco Fair Chance Ordinance”","datePosted":"2026-10-07T04:05:54.809Z","dateModified":"2026-10-07T04:05:54.809Z","hiringOrganization":{"@type":"Organization","name":"LHH","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Springfield","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"65b9fc59e2cf08f4ee498dda"},"url":"https://jobsearcher.com/jobs/65b9fc59e2cf08f4ee498dda"}}