高级数据工程师
Senior Data Engineer
Overview
Who We Are
因为健康是个性化的。这就是 Personify Health 创建首个且唯一的个性化健康平台的原因——将健康计划管理、整体健康解决方案和全面的护理导航整合到一个地方。我们为雇主、健康计划和医疗系统提供数据驱动的解决方案，降低费用的同时真正改善健康结果。我们的团队共同努力，致力于赋能人们过上更健康的生活。
了解我们在 personifyhealth.com 上推动的工作更多内容。
Responsibilities
What You'll Do
高级数据工程师在分析和报告团队中执行开发工作，并为其他数据工程师提供指导、入职培训和培训。您将与客户管理、ETL、数据仓库、商业智能和报告团队紧密合作，开发数据管道和增强功能，调查和解决故障，创建数据模型，设置和调查新技术，并研究复杂数据。您对数据建模、结构和数据管道有深入了解。
Essential Functions/Responsibilities/Duties
- 检查、提取、清理和加载数据。
- 使用 SQL 和其他技术构建数据管道。
- 分诊并解决复杂的内部错误和事件。
- 执行技术操作任务。
- 调查和解决数据和数据管道的问题。
- 参与冲刺细化、计划和启动，以帮助估算故事，提高意识并提供额外的实施细节。
- 帮助监控、维护和提升数据管道的性能。
- 执行、维护和实施新的质量保证规则、方法和工具，以确保数据的一致性和准确性。
- Qualifications
- What You Bring to Our Team
- Education and Experience
- 4 年以上数据工程经验
- IT 相关领域的认证或学位
Required Knowledge, Skills and Abilities
- 对现代关系型和非关系型模型有深入了解，并了解它们之间的区别。
- 精通编写复杂 SQL，包括透视、窗口函数和复杂的日期计算。
- 熟练使用 Python 编程语言。
- 熟练使用 Excel 和多种分析工具，如 Tableau、MicroStrategy、PowerBI 等。
- 精通使用 REST API 和 JSON，并能够解析这些数据并转换为关系型模型。
- 细致入微
查看英文原文
Overview
Who We Are
Because health is personal. That's why Personify Health created the first and only personalized health platform—bringing health plan administration, holistic wellbeing solutions, and comprehensive care navigation together in one place. We serve employers, health plans, and health systems with data-driven solutions that reduce costs while actually improving health outcomes. Together, our team is on a mission to empower people to lead healthier lives.
Learn even more about the work that drives us at personifyhealth.com.
Responsibilities
What You'll Do
Senior Data Engineers perform development activities within the analytics and reporting team and provide mentorship, guidance, onboarding, and training of other Data Engineers. You will work closely with account management, ETL, data warehouse, business intelligence, and reporting teams as you develop data pipelines and enhancements and investigate and troubleshoot issues, create data models, set up and investigate new technologies, and research complex data. You have a deep understanding of data modeling, structures, and data pipelines.
Essential Functions/Responsibilities/Duties
- Examining, extracting, cleansing, and loading data.
- Building data pipelines using SQL, and other technologies.
- Triage complex incoming bugs and incidents and resolving them.
- Perform technical operation tasks.
- Investigate and troubleshoot issues with data and data pipelines.
- Participation in sprint refinement, planning, and kick-off to help estimate stories, raise awareness and additional implementation details.
- Help monitor, maintain, and improve performance of the data pipeline.
- Performing, maintaining, and implementing new quality assurance rules, methods, and tools to maintain consistent and accurate data.
Qualifications
What You Bring to Our Team
Education and Experience
- 4+ years of experience in data engineering
- SW certification or degree in IT related field
Required Knowledge, Skills and Abilities
- Deep understanding of modern relational and non-relational models and differences between them.
- Expert in writing complex SQL, including pivots, window functions, and complex date calculations.
- Fluent in Python programming language.
- Proficient in the use of Excel and several analytical tools such as Tableau, MicroStrategy, PowerBI, etc…
- Expertise in the use of REST API and JSON and ability to parse that data and convert into relational models.
- Detail oriented and able to examine data and code for quality and accuracy.
- Able to lead and mentor more junior data engineers.
- Self-Starter – taking initiative when inefficiencies or opportunities are seen.
- ETL experience preferred
- AWS Lambda / Console experience preferred
- Git experience preferred
Disclaimer
· This job description is subject to change at any time.
Benefits
The Highlights:
- Competitive base salary and benefits effective day one
- Comprehensive medical and dental through our own health solutions (yes, we use what we build)
- Unlimited PTO—rest and recharge time is non-negotiable
- Mental health support, retirement planning, and financial protection
- Professional development with clear career progression and learning budgets
- Mission-driven culture where diverse perspectives drive real impact on people's health
Want the full picture? Visit personifyhealthbenefits.com to explore our complete benefits package, wellness programs, and other employee perks.
Compensation: This position offers a base salary range of $101,000 - $115,000, depending on location, skills, and experience. You're eligible for our full benefits package starting day one.
Our Commitment: Personify Health is an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive—because diversity is core to who we are and critical to our work in health and wellbeing.
Stay Safe: Personify Health will never ask for payment or sensitive personal information like social security numbers during hiring. All official communication comes from verified company email addresses and or our secure applicant tracking system. Suspicious requests? Report them to . View all legitimate openings at personifyhealth.com/careers.
Originally posted on Himalayas