Senior Software Engineer, Data Engineering

About Atria Atria is a membership-based preventive health care practice delivering cutting-edge primary and specialty care in New York, South Florida, Los Angeles (2026), 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. We aim to optimize lifespan and healthspan through meticulous screening, leading-edge therapeutics, and tailored interventions designed to prevent disease and detect it at the earliest possible stages. Each member's care is led by a dedicated Chief Medical Officer who collaborates with specialists in cardiology, neurology, pediatrics, women's health, endocrinology, integrative health, performance and movement, nutrition, and more. Through our nonprofit Atria Research Institute and Public Health Institute, we also work to accelerate the translation of medical breakthroughs and expand access to preventive care for as many people as possible. Atria Health is seeking a Senior Software Engineer for our Data Engineering team to support engineering efforts across our data infrastructure, pipelines, and analytics platforms. 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. Your work will directly enable Atria’s long term research ambitions and enable our physicians to derive novel clinical insights. You'll own complex data initiatives from design through implementation while establishing best practices that elevate the entire engineering organization. Tech Stack Languages: Python, SQL Data Processing: Dagster, dbt Infrastructure: Google Cloud Platform, Terraform, Kubernetes, Docker Data Storage: Snowflake, PostgreSQL, MySQL Streaming: Pub/Sub, Kafka CI/CD: GitHub Actions Monitoring & Observability: Datadog, Grafana, OpenTelemetry Key Responsibilities Data Infrastructure & Pipelines Design, build, and maintain scalable data pipelines and ETL/ELT workflows Help to 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 Mentorship & Culture 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 Reporting & Work Arrangement This role reports to the Senior Director of Engineering. Requirements 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 Originally posted on Himalayas