数据工程经理
Manager - Data Engineering
我们正在寻找一位高度积极的 数据工程经理 加入我们的团队。该职位将向数据工程总监汇报，并领导一个数据工程师团队。理想的候选人是一位具有强烈技术领导力的人，热衷于指导他人并交付可扩展、高质量的数据解决方案。您将与数据分析师、数据科学家、技术团队和业务领导者紧密合作，设计和实施支持内部和外部客户的强大数据管道和平台。在全国范围内管理着数百万个生命，并生成了大量医疗保健数据，您的领导能力对于赋予组织所需的工具和洞察力以推动创新和改善患者结果至关重要。
我们的价值观：
- 以患者为先
- 赋能创业型提供者和护理团队
- 以诚信和卓越运营
- 做出创新
- 作为一个团队协作
您将负责
- 领导和指导数据工程师团队，培养持续学习、创新和运营卓越的文化。
- 与跨职能团队合作，设计和实施符合业务需求和行业最佳实践的可扩展数据管道和模型。
- 监督企业级ELT流程、数据集市和商业智能资产的开发、部署和维护。
- 拥有并不断改进数据质量框架，确保主动监控、故障排除和解决数据问题。
- 推动自动化和现代数据工程实践的采用，提高管道管理和数据交付的效率。
- 指导您的团队在医疗保健运营方面建立领域知识，确保数据解决方案符合监管和安全要求。
- 为数据工程职能的战略规划做出贡献，包括资源分配、技术选择和流程改进计划。
- 支持并执行软件开发的最佳实践，包括代码审查、源代码控制、CI/CD和测试。
资格要求
- 计算机科学、工程、医疗保健、分析或相关领域的学士学位；硕士学历优先。
- 至少5年数据工程或软件开发经验，其中至少2年以上在领导或管理岗位。
- 至少2年的医疗理赔在医疗保健和/或管理护理方面的经验。
- 强大的专业知识
查看英文原文
We are seeking a highly motivated Manager - Data Engineering to join our growing team. This role will report to the Director of Data Engineering and will lead a team of data engineers. The ideal candidate is a strong technical leader with a passion for mentoring others and delivering scalable, high-quality data solutions. You will collaborate closely with data analysts, data scientists, technology teams, and business leaders to design and implement robust data pipelines and platforms that support internal and external clients. With over a million managed lives across the country and terabytes of healthcare data generated, your leadership will be critical to empowering our organization with the tools and insights needed to drive innovation and improve patient outcomes.
Our Values:
- Put Patients First
- Empower Entrepreneurial Provider and Care Teams
- Operate with Integrity & Excellence
- Be Innovative
- Work As One Team
What You'll Do
- Lead and mentor a team of data engineers, fostering a culture of continuous learning, innovation, and operational excellence.
- Partner with cross-functional teams to design and implement scalable data pipelines and models aligned with business needs and industry best practices.
- Oversee the development, deployment, and maintenance of enterprise-grade ELT processes, data marts, and business intelligence assets.
- Own and evolve data quality frameworks, ensuring proactive monitoring, troubleshooting, and resolution of data issues.
- Champion the adoption of automation and modern data engineering practices, driving efficiencies in pipeline management and data delivery.
- Guide your team in building domain knowledge around healthcare operations, ensuring data solutions comply with regulatory and security requirements.
- Contribute to strategic planning for the data engineering function, including resource allocation, technology selection, and process improvement initiatives.
- Support and enforce software development best practices, including code reviews, source control, CI/CD, and testing.
Qualifications
- Bachelor’s degree required in computer science, engineering, healthcare, analytics, or a related field; Master’s degree preferred.
- At least 5 years of experience in data engineering or software development roles, with at least 2+ years in a leadership or management capacity.
- At least 2 years of experience with medical claims in healthcare and/or managed care.
- Strong expertise in building scalable ELT/ETL pipelines using modern data platforms and cloud-based services (e.g., AWS, Azure).
- Advanced proficiency with SQL and scripting/programming languages such as Python or Spark.
- Solid understanding of database structures, data modeling (normalized, star schema, snowflake), and data warehousing concepts.
- Experience working with Databricks or similar distributed computing platforms preferred.
- Familiarity with BI tools such Power BI.
- Deep understanding of professional software engineering practices including SDLC, version control, CI/CD, and automated testing.
- Strong communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences.
You're a great fit for this role if you:
- Thrive in a fast-paced environment and enjoy leading teams to solve complex data challenges.
- Are passionate about mentoring and growing the next generation of data engineering talent.
- Have a bias for action and a commitment to delivering high-quality solutions with measurable impact.
- Bring a collaborative, team-first mindset to everything you do.
Environmental Job Requirements and Working Conditions
- This position is remotely based in the U.S.
- The total compensation target pay range for this role is: $140,000 - $160,000. Actual compensation will be determined based on geographic location (current or future), experience, and other job-related factors.
Astrana Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided based on qualifications, merit, and business need. If you require assistance in applying for open positions due to a disability, please email us at to request an accommodation. Additional Information:
The job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change.
Originally posted on Himalayas