BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.
Job DescriptionWe are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a critical part in building scalable, reliable, and business-ready data solutions that enable enterprise analytics and reporting across the organization.
The ideal candidate brings strong hands-on engineering expertise, deep knowledge of cloud-native data platforms, and experience leading technical implementation efforts in complex enterprise healthcare environments.
What You’ll Do
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
Required Skills
Strong expertise in Google Cloud Platform (GCP), particularly:
BigQuery
Cloud Storage
Cloud Composer / orchestration tooling
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
Preferred Experience
Experience working with healthcare data ecosystems and regulated enterprise environments
Familiarity with healthcare data standards or payer/provider analytics platforms
Experience supporting enterprise BI and analytics initiatives
Exposure to dbt, Looker, or semantic modeling frameworks is a plus
Required Experience
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
What Makes You Successful
You are passionate about building scalable and maintainable cloud-native data solutions
You balance hands-on engineering execution with technical leadership and collaboration
You communicate effectively with both technical and business stakeholders
You thrive in fast-paced, delivery-focused environments
You bring strong ownership, curiosity, and continuous improvement mindset to your work
#LI-AJ1
The starting pay range for this role is $150k - $160k. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.
Skills Required
- Strong expertise in Google Cloud Platform (GCP) including BigQuery and Dataflow
- Experience designing and building scalable data ingestion frameworks
- Advanced SQL and Python development skills
- 7+ years of experience in data engineering
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
