5 дней назад
Senior Software Engineer I - Data & Algorithm Engineering (Healthcare)
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Описание вакансии
Текст:
TL;DR
Senior Software Engineer I - Data & Algorithm Engineering (Healthcare): Maintaining, improving, and expanding healthcare data models and Databricks pipelines with an accent on scalable backend systems, data processing, and patient insights. Focus on designing performant ETL and ingestion workflows, optimizing large-scale data systems, and monitoring models that support care delivery decisions.
Location: Remote, United States
Company
develops healthcare technology that transforms complex patient data into actionable insights for partner practices and supports improved care delivery.
What you will do
- Maintain, improve, and expand data models and Databricks pipelines for the Patient Domain.
- Develop secure, maintainable, performant, correct, scalable, and stable backend solutions.
- Turn complex healthcare data into well-defined insights about patients and their interactions with the healthcare system.
- Design and execute technical roadmaps with Engineering Managers, Product Managers, and cross-functional stakeholders using Agile processes.
- Mentor and coach junior engineers and provide thorough pull request reviews.
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 engineering team.
- 3+ years of experience with SQL or another database querying language on large, multi-table datasets.
- 2+ years of experience making technical decisions that balance short-term and long-term business value.
- 2+ years of experience coaching other engineers.
- Experience with data engineering, data warehouses, backend languages, data pipelines, ETL, large-scale data processing, database systems, and performance optimization.
Nice to have
- Experience with Snowflake, BigQuery, or Redshift in addition to Databricks.
- Experience building data pipelines with Kafka or similar technologies.
- Knowledge of database replication, sharding, scalability, and high availability.
- Familiarity with Docker, Kubernetes, and CI/CD pipelines.
- Experience with security and systems handling sensitive data.
Culture & Benefits
- Full-time employment within the Technology – Engineering department.
- Remote work arrangement for candidates in the United States.
- Collaboration with engineering, product, and healthcare stakeholders.
- Peer mentoring and continuous feedback through code reviews and coaching.
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