Lead Data Engineer

🕒 5 days ago

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $125k - $160k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Design, build, and optimize scalable data pipelines for enterprise healthcare analytics and reporting • Lead automation across ingestion, transformation, orchestration, and operational monitoring workflows • Develop and maintain ingestion frameworks for structured and semi-structured healthcare data • Build and expand semantic data layers within GCP and BigQuery • Design scalable ELT/ETL workflows using modern cloud-native architecture patterns • Partner with architects, analytics teams, and business stakeholders to translate data requirements into technical solutions • Optimize BigQuery performance, partitioning, and cost management • Implement engineering best practices for testing, observability, reliability, and deployment automation • Support data governance, data quality, and metadata management initiatives • Mentor junior engineers and provide technical leadership across delivery teams

🎯 Requirements

• Strong expertise in Google Cloud Platform, particularly BigQuery, Cloud Storage, Cloud Composer/orchestration tooling, and Dataflow or modern ingestion frameworks • Experience designing and building scalable data ingestion and pipeline automation frameworks • Strong understanding of semantic layer development and dimensional modeling concepts • Advanced SQL and Python development skills • Experience with ETL/ELT pipeline design and orchestration • Familiarity with CI/CD, infrastructure automation, and cloud engineering best practices • Strong understanding of data quality, observability, and operational reliability principles • Experience with AI-driven workflows and orchestration design patterns • Experience working with healthcare data ecosystems and regulated enterprise environments preferred • Familiarity with healthcare data standards or payer/provider analytics platforms preferred • Exposure to dbt, Looker, or semantic modeling frameworks is a plus • 7+ years of experience in data engineering or cloud data platform development • Proven experience delivering enterprise-scale cloud data solutions in GCP environments • Experience leading technical workstreams or mentoring engineering teams • Consulting or client-facing experience strongly preferred

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401K • PTO • Paid holidays • Commuter benefits • Spending accounts • Life insurance • Disability coverage • EAPs