Resumo da vaga

Senior Software Engineer, Data Engineering

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

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

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

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

Benefits

  • Excellent health and wellness benefits, 100% paid by Atria effective date of hire
  • OneMedical membership for employees & dependents giving access to 24/7 virtual care
  • Fertility & family planning
  • Company-covered preventive health screenings through partner hospitals (Calcium score)
  • Fitness Perks including Wellhub +
  • 401k contributions and 4% match starting after 6 months
  • Flexible Time Off
  • Continuing medical education (CME) and CEU support for professional licensure
  • Time to give back and make an impact in underserved communities
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FocoData EngineeringÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackCI/CD, Docker, KubernetesSkills principais
Localização1 país aceitoElegibilidade

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