Senior Software Engineer, Data Engineering

Atria Health Llc; São Paulo; Híbrido; BRL 200.000 - 300.000; Tempo integral

Resumo da oferta

A healthcare technology company is seeking a Senior Software Engineer in São Paulo to design and build scalable data systems while mentoring junior engineers. This role emphasizes collaboration with product teams to deliver high-quality data that drives insights and decision-making in healthcare. Ideal candidates should have over 7 years of software engineering experience, with a strong focus on data engineering and proficiency in cloud platforms like Snowflake and Google Cloud. The position offers a dynamic work environment that supports professional growth.

Serviços

Mentoring opportunities

Collaborative work environment

Qualificações

• 7+ years of software engineering experience, with 3+ years focused on data engineering.
• Deep experience with cloud data platforms, such as Snowflake and BigQuery.
• Proficiency with data pipeline orchestration tools like Dagster.

Responsabilidades

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
• Partner with product engineering teams to design data contracts.
• Collaborate with Security and Compliance on data governance.

Conhecimentos

Cloud data platform experience

Data modeling

Data pipeline orchestration tools

Strong SQL skills

Python for data processing

Excellent communication skills

Ferramentas

Snowflake

Google Cloud Platform

Terraform

Kubernetes

Docker

dbt

Airflow

Descrição da oferta de emprego

About Atria

About Atria is a membership‑based preventive health care practice delivering cutting‑edge primary and specialty care in New York, South Florida, Los Angeles ), and through 24 / 7 telemedicine globally. Our multi‑specialty team of 60+ top in‑house physicians provides proactive, preventive, and precision‑based care for Atria members and their families.

Senior Software Engineer – Data Engineering

This senior individual contributor role is responsible for designing and building scalable data systems, mentoring engineers, and partnering with domain product teams (Clinical Experience, Member Experience, and Care Delivery) to deliver reliable, high‑quality data that powers insights and decision‑making.

Key Responsibilities

• Data Infrastructure & Pipelines: Design, build, and maintain scalable data pipelines and ETL / ELT workflows.
• Help own and improve our data warehouse architecture in Snowflake.
• Implement data modeling best practices to support analytics and reporting needs.
• Drive data quality initiatives, including validation, testing, and monitoring frameworks.
• Cross‑Team Collaboration: Partner with product engineering teams to design data contracts and integrate data capture into applications.
• Work closely with Analytics and Business Intelligence teams to understand reporting needs and deliver reliable data products.
• Collaborate with Security and Compliance to implement data governance and privacy best practices.
• Partner with Product and Engineering leadership on data strategy and technical roadmaps.
• Support Research and Clinical: Collaborate with Clinicians and Clinical Researchers to ensure they have the data available to deliver on their projects and support patient care.
• Work with our Analysts to decrease latency, improve testability and integrate with de‑identification providers to meet our goals and regulatory needs.
• Mentor and coach more junior data engineers, fostering growth and technical development.
• Establish and document data engineering standards, patterns, and best practices.
• Champion a culture of data quality, automation, and continuous improvement.

Tech Stack

• Python, SQL
• Dagster, dbt
• Google Cloud Platform, Terraform, Kubernetes, Docker
• Snowflake, PostgreSQL, MySQL
• Pub/Sub, Kafka
• GitHub Actions
• Datadog, Grafana, OpenTelemetry

Reporting & Work Arrangement

This role reports to the Senior Director of Engineering.

Required

• 7+ years of software engineering experience, with 3+ years focused on data engineering.
• Deep experience with cloud data platforms, such as Snowflake and BigQuery.
• Proficiency with data pipeline orchestration tools (Airflow, Dagster, or similar).
• Strong SQL skills and experience with data modeling and warehouse design.
• Experience with data transformation tools such as dbt or Spark.
• Demonstrated ability to lead technical initiatives and influence without direct authority.
• Excellent communication skills and ability to translate complex technical concepts for varied audiences.

Preferred

• Experience in healthcare technology or other regulated industries.
• Familiarity with streaming data architectures and real‑time processing.
• Experience building and scaling data quality and observability platforms.
• Track record of improving data accessibility and self‑service analytics capabilities.
• Experience with Python for data processing and automation.