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Senior Software Engineer, Data Engineering

2 months, 2 weeks ago
Brazil
Full-time
Senior
Software Engineer
Software Development
Apache Airflow Apache Spark CI/CD Dagster Datadog dbt Docker GCP GitHub Actions Grafana Kafka Kubernetes MySQL OpenTelemetry PostgreSQL Python Snowflake SQL Terraform
Apply Now
Atria Institute

Atria Institute

Atria—Turning science into medicine. Atria takes a scientific approach to preventive medicine, precision longevity medicine, and proactive health care. Atria Palm Beach at The Royal Poinciana Plaza Coming Early 2024 561.200.7000 The future of health br...

Health Care Providers & Services
51-250
Founded 2022
View All Jobs 11

Description

  • Design, build, and maintain scalable data pipelines and ETL/ELT workflows
  • Own and improve data warehouse architecture and data modeling practices to support analytics and reporting
  • Implement and drive data quality initiatives, including validation, testing, and monitoring frameworks
  • Partner with product engineering teams to design data contracts and integrate data capture into applications
  • Collaborate with Analytics and Business Intelligence teams to understand reporting needs and deliver reliable data products
  • Work with Security and Compliance to implement data governance and privacy best practices
  • Support clinicians and clinical researchers by ensuring required data availability, de-identification integration, and reduced latency for projects
  • Lead complex data initiatives from design through implementation and contribute to data strategy and roadmaps with Product and Engineering leadership
  • Mentor and coach junior data engineers and establish documented data engineering standards, patterns, and best practices

Requirements

  • 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
  • Experience with Python for data processing and automation
  • Demonstrated ability to lead technical initiatives and influence without direct authority
  • Excellent communication skills and ability to translate complex technical concepts for varied audiences
  • Familiarity with streaming data architectures and real-time processing (e.g., Pub/Sub, Kafka)
  • Experience building and scaling data quality and observability platforms and improving data accessibility/self-service analytics

Interested in this position?

Apply directly on the company website

Apply Now

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