[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. CareScout is a subsidiary of Genworth Financial, Inc, dedicated to improving the aging experience for families seeking long-term care solutions. They are looking for a Senior Data Engineer to design and build data pipelines, models, and infrastructure that support analytics and machine learning needs, collaborating with various teams to enhance data workflows and quality.ResponsibilitiesDesign, build, and maintain scalable ETL/ELT pipelines using Spark, Python, SQL, and DatabricksImplement reliable ingestion frameworks for batch and streaming data sourcesEnsure pipelines meet SLAs, data quality standards, and production-grade reliabilityDevelop robust data models across raw, curated, and semantic layers using Delta LakeCreate dimensional models, star schemas, and domain-layer datasets for analytics and MLEstablish and maintain standards for schema design, metadata, and lineageImplement data validation, anomaly detection, SLAs, and documentation across pipelinesBuild automated tests, monitoring, and alerting for freshness, completeness, and accuracyPartner with platform teams to enhance observability and operational toolingWork closely with analysts to understand business KPIs and deliver high-quality curated datasetsPartner with ML engineers and data scientists to build reusable feature pipelinesCollaborate with data platform engineers to optimize compute, governance, and orchestrationOptimize Spark jobs, SQL queries, cluster configurations, and storage patterns for performance and costImprove reliability, reduce technical debt, and simplify complex pipelinesApply best practices for RBAC, data privacy, and PII handling using Unity CatalogEnsure adherence to compliance frameworks and documentation standardsStay current on modern data engineering patterns, Lakehouse architecture, orchestration, and best practicesExplore new technologies that improve reliability, scalability, and developer productivitySkills7+ years of experience in data engineering or related rolesStrong expertise with Python, SQL, Spark, and distributed data processingHands-on experience with Databricks, Delta Lake, and Lakehouse architecturesDeep understanding of ETL/ELT design, data modeling, and data quality practicesExperience building scalable, production-grade data pipelinesExperience collaborating with analytics, ML, and product teamsStrong communication skills with the ability to clarify data requirements and explain technical decisionsBenefitsCompetitive Compensation & Total Rewards IncentivesComprehensive Healthcare CoverageMultiple 401(k) Savings Plan OptionsAuto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family LeaveDisability, Life, and Long Term Care InsuranceTuition Reimbursement, Student Loan Repayment and Training & Certification SupportWellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)Caregiver and Mental Health Support ServicesCompany OverviewCareScout provides clinical assessments and caregiver support services. It is a sub-organization of GenWorth. It was founded in 1997, and is headquartered in Waltham, Massachusetts, USA, with a workforce of 51-200 employees. Its website is https://www.carescout.com.