Blend360 LLC
Senior Data Engineer
Columbia, MD, United States · Senior
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About the role
- At Blend360, we help organizations transform complex data into actionable insights through modern cloud platforms, advanced analytics, and AI-driven solutions. We partner with leading enterprises across healthcare, telecommunications, financial services, and retail to build scalable, high-impact data ecosystems that drive smarter business decisions.
- We are seeking a Senior Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, pipeline automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a key part in designing and delivering scalable, reliable, and business-ready data solutions that support
Responsibilities
- 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
- 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
- Experience designing and building scalable data ingestion and pipeline automation solutions
- This role will play a key part in designing and delivering scalable, reliable, and business-ready data solutions that support enterprise analytics, operational reporting, and data-driven decision-making.
Requirements
- 5+ years of experience in data engineering or cloud data platform development
- Proven experience delivering enterprise-scale cloud data solutions within GCP environments
- Experience contributing to large-scale data modernization or analytics transformation initiatives
- You enjoy solving complex data challenges and driving measurable business impact through technology
- Strong understanding of semantic layer development and dimensional modeling concepts
- Experience with ELT/ETL pipeline design, orchestration, and optimization
- Strong understanding of data quality, observability, and operational reliability principles
Nice to have
- Preferred Experience
- Exposure to dbt, Looker, or semantic modeling frameworks is a plus
- Consulting or client-facing delivery experience strongly preferred
Compensation
- $115k-$125k
Benefits
- We partner with leading enterprises across healthcare, telecommunications, financial services, and retail to build scalable, high-impact data ecosystems that drive smarter business decisions.
- 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
- Experience working within healthcare data ecosystems and regulated enterprise environments
- Familiarity with healthcare analytics platforms, payer/provider data models, or healthcare interoperability standards
Company info
- At Blend360, we help organizations transform complex data into actionable insights through modern cloud platforms, advanced analytics, and AI-driven solutions.
This listing is sourced directly from Blend360 LLC's careers page and normalized into a canonical job model.