[Remote] Lead Data Engineer

Note: The job is a remote job and is open to candidates in USA. BLEND360 is a forward-thinking Data, Digital Marketing, & AI Solutions Company that focuses on delivering exceptional outcomes for Fortune 500 clients. They are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative, modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud Platform (GCP). The role involves designing scalable data pipelines, leading automation efforts, and mentoring junior engineers while ensuring data quality and governance.ResponsibilitiesDesign, build, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting use casesLead automation efforts across ingestion, transformation, orchestration, and operational monitoring workflowsDevelop and maintain ingestion frameworks for structured and semi-structured healthcare data sourcesBuild and expand semantic data layers within GCP and BigQuery to support consistent, trusted business reporting and analytics consumptionDesign scalable ELT/ETL workflows leveraging modern cloud-native architecture patternsPartner closely with architects, analytics teams, and business stakeholders to translate data requirements into scalable technical solutionsOptimize BigQuery performance, partitioning, and cost management strategiesImplement engineering best practices for testing, observability, reliability, and deployment automationSupport data governance, data quality, and metadata management initiatives across the platformMentor junior engineers and provide technical leadership across delivery teamsSkillsStrong expertise in Google Cloud Platform (GCP), particularly: BigQuery, Cloud Storage, Cloud Composer / orchestration tooling, Dataflow or modern ingestion frameworksExperience designing and building scalable data ingestion and pipeline automation frameworksStrong understanding of semantic layer development and dimensional modeling conceptsAdvanced SQL and Python development skillsExperience with ETL/ELT pipeline design and orchestrationFamiliarity with CI/CD, infrastructure automation, and cloud engineering best practicesStrong understanding of data quality, observability, and operational reliability principles7+ years of experience in data engineering or cloud data platform developmentProven experience delivering enterprise-scale cloud data solutions in GCP environmentsExperience leading technical workstreams or mentoring engineering teamsExperience working with healthcare data ecosystems and regulated enterprise environmentsFamiliarity with healthcare data standards or payer/provider analytics platformsExperience supporting enterprise BI and analytics initiativesExposure to dbt, Looker, or semantic modeling frameworks is a plusConsulting or client-facing experience strongly preferredBenefitsMedicalDentalVision401KPTOPaid holidaysCommuter benefitsSpending accountsLife insuranceDisability coverageEAPsCompany OverviewBlend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. It was founded in 2016, and is headquartered in Columbia, Maryland, USA, with a workforce of 501-1000 employees. Its website is https://blend360.com/.Company H1B SponsorshipBlend has a track record of offering H1B sponsorships, with 2 in 2026, 33 in 2025, 30 in 2024, 28 in 2023, 32 in 2022, 21 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.