Senior Data Engineer

🕒 May 23

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $115k - $125k / 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, develop, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting initiatives • Build and automate ingestion frameworks for structured and semi-structured healthcare data sources • Develop and expand semantic data layers in GCP and BigQuery to support trusted, consistent analytics consumption across business teams • Design and implement scalable ELT/ETL workflows using modern cloud-native architecture patterns • Automate orchestration, monitoring, and operational processes across the data platform • Partner with architects, analytics teams, and business stakeholders to translate requirements into scalable technical solutions • Optimize BigQuery performance, partitioning, and query efficiency to improve scalability and cost management • Implement engineering best practices for testing, observability, reliability, deployment automation, and operational support • Contribute to data governance, metadata management, and data quality initiatives across the platform • Mentor junior engineers and contribute to a collaborative, high-performing engineering culture

🎯 Requirements

• 5+ years of experience in data engineering or cloud data platform development • Strong expertise in Google Cloud Platform (GCP), including: BigQuery, Cloud Storage, Cloud Composer or orchestration tooling, Dataflow or modern ingestion frameworks • Experience designing and building scalable data ingestion and pipeline automation solutions • Strong understanding of semantic layer development and dimensional modeling concepts • Advanced SQL and Python development skills • Experience with ELT/ETL pipeline design, orchestration, and optimization • Familiarity with CI/CD pipelines, infrastructure automation, and cloud engineering best practices • Strong understanding of data quality, observability, and operational reliability principles • Experience working within healthcare data ecosystems and regulated enterprise environments preferred • Familiarity with healthcare analytics platforms, payer/provider data models, or healthcare interoperability standards • Experience supporting enterprise BI and analytics initiatives • Consulting or client-facing delivery experience strongly preferred.

🏖️ Benefits

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