数据工程师负责人
Lead Data Engineer
BLEND360 是一家备受认可的、具有前瞻性的数据、数字营销与人工智能解决方案公司，致力于为我们的财富 500 强客户提供卓越成果。我们的发展轨迹是持续扩展，在前沿分析、数据能力、技术和数字营销卓越的交汇点上不断前行。
我们正在寻找一名高级数据工程师，以支持一个大规模医疗数据平台项目，重点在于现代化数据摄取、自动化和语义层功能，基于谷歌云平台（GCP）。该角色将在构建可扩展、可靠且面向业务的数据解决方案中发挥关键作用，从而支持整个组织的企业分析和报告。
理想的候选人具备扎实的工程实践经验，对云原生数据平台有深入理解，并在复杂的企业医疗环境中领导技术实施工作方面有丰富经验。
你将负责
· 设计、构建并优化支持企业医疗分析和报告用例的可扩展数据管道
· 领导数据摄取、转换、编排和操作监控流程中的自动化工作
· 开发并维护结构化和半结构化医疗数据源的摄取框架
· 在 GCP 和 BigQuery 中构建和扩展语义数据层，以支持一致、可信的业务报告和分析消费
· 设计可扩展的 ELT/ETL 工作流，利用现代云原生架构模式
· 与架构师、分析团队和业务利益相关者紧密合作，将数据需求转化为可扩展的技术解决方案
· 优化 BigQuery 的性能、分区和成本管理策略
· 实施测试、可观测性、可靠性和部署自动化方面的工程最佳实践
· 支持平台上的数据治理、数据质量和元数据管理计划
· 指导初级工程师，并在交付团队中提供技术领导力
所需技能
· 对谷歌云平台（GCP）有扎实的技能，特别是：
· BigQuery
· Cloud Storage
· Cloud Composer / 编排工具
· Dataflow 或现代数据摄取框架
- 有设计和构建可扩展数据摄取和管道自动化框架的经验
- 对语义层开发和维度建模概念有深刻理解
- 高级 SQL 和 Python 开发技能
- 有 ETL/ELT 流程的经验
查看英文原文
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.
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 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
- Experieng with AI driven workflows, and orchestration design patterns.
- 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
The starting pay range for this role is $125,000 - $160,000. 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.