Manager – Data Engineering

🕒 Março 18

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Astrana Health

Astrana Health

1001 - 5000 funcionários

☁️ SaaS

🤝 B2B

👥 B2C

SaaS • B2B • B2C

A Astrana Health é uma empresa de saúde que opera clínicas focadas na comunidade e uma plataforma de tecnologia voltada para prestadores de serviços, coordenando cuidados em serviços primários, de urgência e multi-especializados. Ela apoia prestadores de serviços e comunidades locais ao simplificar o acesso aos cuidados, automatizar autorizações prévias e conectar pacientes com profissionais de saúde dentro da rede. A Astrana combina serviços clínicos com tecnologia desenvolvida por médicos para melhorar a experiência do paciente e os fluxos de trabalho dos prestadores.

Descrição

• 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.

🎯 Requisitos

• Bachelor’s degree required in computer science, engineering, healthcare, analytics, or a related field; Master’s degree preferred. • 5+ years of experience in data engineering or software development roles, with at least 2+ years in a leadership or management capacity. • 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.

🏖️ Benefícios

• 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 [email protected] 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.

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