Senior Software Engineer I - Data & Algorithm Engineering

12 hours, 36 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, secure, maintainable, and stable solutions.
  • Maintain, improve, and expand data models and Databricks pipelines.
  • Partner with Engineering Managers, Product Managers, and stakeholders to develop and execute technical roadmaps using Agile processes.
  • Act as a technical decision-maker balancing short-term and long-term business value.
  • Mentor and coach junior engineers through guidance and thorough pull request reviews.
  • Monitor and observe data models and pipelines to evaluate their impact across the company.
  • Collaborate with cross-functional teams to address complex healthcare data challenges.

Requirements

  • Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
  • 4+ years of experience building backend applications as part of a cross-functional team.
  • 3+ years of experience using SQL or another database query language with large, multi-table datasets.
  • 2+ years of experience serving as a trusted technical decision-maker in a team setting.
  • 2+ years of experience coaching other engineers.
  • 2+ years of data engineering experience, particularly with Databricks and data warehouses such as Snowflake, BigQuery, or Redshift.
  • 3+ years of experience with backend languages such as Python, Java, or Node.js.
  • Experience designing, building, and optimizing data pipelines and ETL processes.
  • Experience with large-scale data processing, data ingestion systems, database systems, and performance optimization.
  • Experience with Kafka or similar data pipeline technologies; familiarity with replication, sharding, Docker, Kubernetes, CI/CD, and systems handling sensitive data.
  • Ability to sit for prolonged periods and use computers and keyboards extensively.

Interested in this position?

Apply directly on the company website

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