Lead Data Engineer, Blend
$150-160k
Business performance data & analytics
Be an early applicant
Business performance data & analytics
501-1000 employees
Be an early applicant
$150-160k
501-1000 employees
Company mission
To help advance our understanding of our customers and business performance.
Role
Who you are
- 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
- 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
- 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
- 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
Desirable
- 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
What the job involves
- We 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 organizatio
- 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
Our take
As large enterprises race to digitize everything from supply chains to customer service, they're drowning in data, but not always insights. So, that's where Blend comes it, helping businesses turn messy, underused data into something genuinely useful, applying advanced analytics and AI to drive smarter decisions rather than just prettier dashboards.
Made up of data scientists and engineers, Blend works behind the scenes to make machine learning actually function in the real world. Fro, from AI integration to data governance and MLOps. Essentially, it helps big companies get more value out of the information they already have, improving efficiency and making data a competitive advantage rather than a compliance headache.
Backed by a 2022 Growth Equity investment, Blend has expanded through smart acquisitions, including FutureproofAI, which broadened its AI capabilities and client reach, and Montevideo Labs, strengthening its footprint in Latin America.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Company HQ
Town Center, Columbia, MD
Leadership
Patrick Hennessy
(Co-Founder & CEO)Previously a Managing Director at Whitegate Capital Partners, an Advisor to the CEO at Merkle and a Vice President at Cornwell Data.
Tim Berry
(Co-Founder)Previously a President of Merkle Europe, a Senior Director of Rapp Collins Worldwide and a Senior Manager at AT&T.
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