Data Engineer I

Designs and Maintains Data PipelinesDesign, build, and maintain scalable data pipeline architecture supporting structured and unstructured healthcare dataAssemble large, complex datasets that meet functional and non-functional business requirementsDevelop scalable ETL/ELT pipelines utilizing SQL and AWS big data technologiesOptimize pipeline performance for scalability, latency, throughput, and fault toleranceEnsure data pipelines comply with HIPAA and organizational data governance standardsDevelops and Manages Data InfrastructureBuild infrastructure supporting extraction, transformation, and loading of data from diverse healthcare sourcesDevelop and maintain enterprise data lakes, data warehouses, and data marts utilizing platforms such as Snowflake, Amazon Redshift, or Google BigQueryConfigure cloud-based storage and compute environments across AWS, Azure, and Google Cloud PlatformImplement schema design, indexing, partitioning, and infrastructure optimization strategiesSupport high availability, disaster recovery, and business continuity planningEnables Analytics and Data ScienceDevelop data tools supporting analytics, reporting, and data science initiativesCreate reusable components supporting dashboards, reporting, and data productsBuild data models and curated datasets for analysts and data scientistsEnable self-service analytics through standardized datasets and data modelsCollaborate with stakeholders to define key performance indicators (KPIs) and organizational metricsImproves Internal Processes and ScalabilityIdentify, design, and implement internal process improvementsAutomate manual processes and optimize enterprise data deliveryImprove infrastructure scalability, performance, and maintainabilityRefactor legacy data solutions to improve efficiencyDevelop and support CI/CD pipelines for data engineering workflowsCollaborates Across TeamsPartner with executive leadership, product teams, analysts, software engineers, data scientists, and clinical informatics teams to support enterprise data initiativesTranslate business requirements into scalable technical solutionsSupport cross-functional projects and Agile development teamsCommunicate technical concepts effectively to both technical and non-technical stakeholdersMentor junior data engineering team members as appropriateEnsures Data Governance and SecuritySupport enterprise data governance, security, and regulatory compliance initiativesImplement data validation, anomaly detection, and data quality monitoring processesCollaborate with data governance teams to enforce organizational standards and policiesAudit data for completeness, accuracy, consistency, and timelinessSupport data stewardship and master data management initiativesMarginal or Periodic FunctionsConduct training sessions supporting enterprise data tools and platformsParticipate in vendor evaluations and proof-of-concept initiativesSupport data integration activities for organizational growth initiativesAssist with disaster recovery exercises and business continuity planningSupport grant-funded research initiatives requiring enterprise data supportPerform related duties as assignedKnowledge, Skills, and AbilitiesTechnical LearningQuickly learn new technologies, cloud platforms, healthcare data standards, and enterprise data engineering toolsApply healthcare interoperability standards such as HL7 and FHIR where appropriateMaintain current knowledge of cloud platform capabilities and emerging technologiesContinuously improve technical skills through professional developmentProblem SolvingDiagnose and resolve complex data pipeline and integration challengesDesign scalable solutions supporting enterprise healthcare data initiativesApply analytical methods to validate data quality and integrityDevelop practical solutions that improve operational efficiency and system performanceFunctional/Technical SkillsDevelop efficient SQL, Python, and other programming solutions supporting enterprise data processingCon igure cloud infrastructure supporting secure and scalable data workloadsDesign secure, compliant healthcare data architecturesBuild and maintain enterprise data pipelines supporting analytics and reportingDealing with AmbiguityAdapt effectively to changing priorities, technologies, and organizational needsDesign flexible data models supporting evolving clinical and operational requirementsNavigate incomplete or inconsistent data sources while maintaining data qualitySupport multiple concurrent initiatives in dynamic healthcare environmentsCollaborationPartner effectively with clinicians, analysts, software engineers, and business stakeholdersParticipate in cross-functional Agile development teamsBuild productive working relationships across departmentsResolve competing technical and operational priorities through collaborationStrategic AgilityDesign scalable enterprise data solutions supporting future organizational growthAlign data engineering initiatives with enterprise analytics strategiesAnticipate technology and regulatory changes affecting healthcare data infrastructureSupport long-term data architecture and modernization initiatives