Senior Software Engineer I- Data & Insights Engineering

4 hours, 33 minutes ago
Full-time
Senior
Software Development
Aledade

Aledade

Aledade collaborates with independent practices, health centers, and clinics to establish and manage Accountable Care Organizations (ACOs) that prioritize primary care, enabling physicians to enhance patient care while maintaining their independence in...

Health Care Providers & Services
1K-5K
Founded 2014
$686M raised

Description

  • Develop and implement scalable, performant software solutions for web applications and data pipelines.
  • Partner with engineering managers, product managers, and stakeholders to define and execute technical roadmaps using Agile processes.
  • Mentor and coach junior engineers through code reviews and day-to-day technical guidance.
  • Review pull requests and provide thorough feedback on other developers' work.
  • Contribute to analytics infrastructure and unified metrics collection and storage.
  • Build solutions that improve breakage detection, experimentation, and viewing-rate analytics.
  • Help optimize provider-facing experiences at the point of care.
  • Support technical decisions that balance short-term needs with long-term business value.

Requirements

  • BS/BTech or higher in Computer Science, Engineering, or a related field.
  • 3+ years of experience using SQL or another database querying language on large multi-table datasets.
  • 4+ years of experience building backend applications as part of a cross-functional team.
  • 2+ years of experience acting as a trusted technical decision-maker in a team setting.
  • 2+ years of experience coaching other engineers.
  • 2+ years of extensive data engineering experience, particularly with Databricks and data warehouses such as Snowflake, BigQuery, or Redshift.
  • 3+ years of experience working in backend languages such as Python, Java, or Node.js.
  • Experience designing, building, and optimizing data pipelines and ETL processes.
  • Experience with large datasets, data storage technologies, and data ingestion systems.
  • Experience building data pipelines using Kafka or a similar stack.
  • Familiarity with database replication, sharding, and other scalability and high-availability techniques.
  • Familiarity with Docker and Kubernetes.
  • Familiarity with CI/CD pipelines.
  • Familiarity with security and systems that handle sensitive data.

Interested in this position?

Apply directly on the company website

Apply Now

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