Lead Data Engineer

🕒 Setembro 10

🇲🇽 México – Remoto

💵 $977.440 - $1.221.820 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 0%

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SimplePractice

201 - 500 funcionários

Fundada em 2012

🏥 Saúde

💼 Consultoria

📦 Logística

Healthcare • Consulting • Logistics

SimplePractice é uma plataforma de software de gestão de consultórios tudo‑em‑um, feita sob medida para profissionais de saúde mental. Ela simplifica tarefas administrativas — do agendamento e faturamento à documentação — e aprimora o atendimento ao cliente por meio de Telehealth integrado, ferramentas para planos de saúde e uma ampla biblioteca de modelos. Confiada por mais de 200 mil profissionais, a SimplePractice foi projetada para terapeutas, fonoaudiólogos, terapeutas ocupacionais e psiquiatras, entre outros. Seu objetivo é agilizar o trabalho administrativo e melhorar a gestão do cuidado pelos profissionais, facilitando interações mais qualificadas com os clientes e o crescimento do consultório.

Descrição

• Build infrastructure that powers product intelligence, financial reporting, and self-serve analytics • Partner with Product, Analytics, and Engineering to build scalable systems using backend databases, event streams, and marketing platforms • Lead technical vision and architecture across short-term and long-term horizons • Create company-wide alignment through standardized metrics • Support financial reporting, product analytics, and operational metrics • Enable customer-facing dashboards, self-serve analytics, and next best action in product • Manage the complete data stack from ingestion through data consumption • Build tools to increase transparency in company-wide business outcomes • Work with DevOps to deploy and maintain data solutions using cloud data technologies, preferably AWS • Define data quality and data security frameworks and promote data engineering best practices • Collaborate with Data Analytics, ML, Product, and Engineering teams to build scalable, reliable systems

🎯 Requisitos

• BS/MS in Engineering, Computer Science, Mathematics, or related field • 7+ years in Data or Analytics Engineering • Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments • Enterprise architecture and enterprise data architecture (data modeling and enterprise dimensional modeling) • Expert in SQL and data modeling (relational, dimensional, semantic) • Proven experience in data warehouse design, implementation, and maintenance (Snowflake) • Hands-on with DBT for modular, testable transformations • Experience with orchestration and ingestion tools: Airflow, Prefect, Airbyte, Fivetran, Kafka • Familiar with ELT, schema-on-read, DAGs, and performance optimization • Experience with AWS (S3, RDS, Redshift, etc.) • Familiar with Terraform, Docker, and containerized workflows (bonus) • Skilled in handling structured, semi-structured (e.g., JSON), and columnar formats (e.g., Parquet, ORC) • Experience building and supporting semantic layers for self-serve analytics • Proficient with BI tools like Looker, Tableau, or Sisense • Comfortable standardizing metrics and enabling trusted, consistent access to data • Proficient in Python and Unix/Linux scripting • Comfortable working with APIs (e.g., using curl) • AWS DevOps - Terraform, Kubernetes, Docker (bonus) • Project & Change Management skills, especially experience working in an Agile (SCRUM, Kanban) environment/team focusing on sprint by sprint deliveries (bonus) • Real-time ETL - Kafka streaming, AWS Kinesis (bonus)

🏖️ Benefícios

• Privatized Medical, Dental & Vision Coverage • Supplemental health and wellness benefit - Modern Health and Vivawell • Work From Home stipend • Flexible Time Off (FTO), wellbeing days, Summer Fridays, and Mid-Year and Year-End Reflect & Recharge (Company Holidays), Paid Holidays • Christmas Bonus ( 15-day aguinaldo ) • Monthly meal/grocery voucher via Si Vale card • Catered Lunch • A relocation bonus for candidates joining us from a different city • Annual Bonus • Tuition Reimbursement • Saving Funds • Employee Resource Groups (ERGs)

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