Lead Data Engineer

🕒 May 23

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $150k - $160k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🤖 Artificial Intelligence

🏢 Enterprise

💰 $100M Private Equity Round on 2022-08

Artificial Intelligence • Enterprise • Consulting

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

🎯 Requirements

• 7+ years of experience in data engineering or cloud data platform development • Strong expertise in Google Cloud Platform (GCP), particularly: BigQuery, Cloud Storage, Cloud Composer, Dataflow • 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 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 (preferred)

🏖️ Benefits

• medical • dental • vision • 401K • PTO • paid holidays • commuter benefits • spending accounts • life insurance • disability coverage • EAPs