高级数据工程师
Senior Data Engineer
关于Accorded
在Accorded，我们正在打造一款产品，将复杂的医疗保健数据和分析转化为可操作的财务和临床洞察。作为高级数据工程师，你将直接塑造并验证我们的核心产品Acumen。你将与精算师、工程师和产品负责人紧密合作，将杂乱的医疗数据转化为可扩展、高性能的数据模型。
我们重视高度的责任感、低官僚主义和现代工程实践。你将推动架构决策，并在一个高度协作的团队中使用/开发前沿工具（包括负责任地使用AI来加速开发），你的工作会产生即时影响。
主要职责
- 医疗保健数据集成：构建、维护和优化医疗保健数据集成和转换流程，包括强大的测试以确保高数据完整性。
- 产品开发：设计、实现和维护复杂的领域和业务逻辑模型，以持续推进并验证Accorded的Acumen产品。
- 跨职能和客户协作：与内部团队（精算、产品）紧密合作，并直接与客户对接，交付高质量的数据集成，提供技术支持，解决流程问题。
- 遵守工程标准：参与代码审查，保持严格的代码质量标准，并有效且负责任地利用现代工具，包括AI辅助开发。
所需资格
- 5年以上直接与数据产品合作的工程经验。
- 医疗保健领域经验：具有Medicare、Medicaid或商业数据（付方或供方）的实际经验，具备医疗数据专业知识，最好是索赔和资格/注册数据。
- 核心数据工程背景：精通SQL和Python，以及数据建模、数据仓库和ETL流程的丰富经验。
- 云数据仓库：在BigQuery、Snowflake或Redshift等云数据仓库上有实际生产经验。
- 分析产品与团队支持：有直接与分析产品合作的经验，并运营或支持分析交付团队。
- 使用AI支持的软件开发经验：有有效且负责任地使用AI工具进行开发的能力（例如，知道何时信任AI输出以及如何严格测试AI驱动的代码更改）。
优选资格
- 有DBT经验：
查看英文原文
About Accorded
At Accorded, we are building a product that translates complex healthcare data and analytics into actionable financial and clinical insights. As a Senior Data Engineer, you will directly shape and prove out our core product, Acumen. You will work closely alongside actuaries, engineers, and product leaders to turn messy healthcare data into scalable, high-performing data models.
We value high ownership, low bureaucracy, and modern engineering practices. You’ll drive architectural decisions and use / develop cutting-edge tools (including the responsible use of AI to accelerate development) on a highly collaborative team where your work has immediate impact.
Key Responsibilities
- Healthcare Data Integration: Build, maintain, and optimize healthcare data integrations and transformation pipelines, incorporating robust testing to ensure high data integrity.
- Product Development: Design, implement, and maintain complex domain and business logic models to continuously advance and prove out Accorded’s Acumen product.
- Cross-Functional & Client Collaboration: Work closely with internal teams (Actuarial, Product) and interface directly with customers to deliver high-quality data integrations, provide technical troubleshooting, and resolve pipeline issues.
- Uphold Engineering Standards: Participate in code reviews, maintain rigorous code quality standards, and leverage modern tools including AI-assisted development effectively and responsibly.
Required Qualifications
- 5+ years of engineering experience working directly with data products.
- Healthcare Domain Experience: Hands-on experience with Medicare, Medicaid, or Commercial data (payor or provider side), with expertise in healthcare data, preferably claims and eligibility / enrollment data.
- Core Data Engineering Background: Strong proficiency in SQL and Python, along with extensive experience in data modeling, data warehousing, and ETL processes.
- Cloud Data Warehousing: Production experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift.
- Analytics Product & Team Support: Experience working directly with an analytics product and operating or supporting an analytics delivery team.
- Experience with AI-Supported Software Development: Demonstrated ability to use AI tools for development effectively and responsibly (e.g., knowing when to trust AI outputs and how to rigorously test AI-led code changes).
Preferred Qualifications
- DBT Experience: Professional experience with dbt (data build tool) for data transformation layers.
- Data Quality & Observability: Hands-on experience implementing data automated testing and monitoring frameworks (e.g., Great Expectations, Monte Carlo, dbt tests).
- Early-Stage / Startup Agility: Track record of operating in fast-paced, ambiguous environments with high autonomy and direct product ownership.
- Customer-Facing Technical Experience: Demonstrated ability to interface directly with external clients/partners for technical integration scoping, data onboarding, and hands-on troubleshooting.
Additional Information
- Accorded is located in the San Francisco Bay Area. Remote candidates living and authorized to work in the United States are eligible to apply
- Accorded is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment and do not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.
Originally posted on Himalayas