Senior Engineer, Platform & Data

New
RemoteFull-TimeSenior
Salary not disclosed
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Job Details

Experience
4+ years
Required Skills
PythonSQLGitAzureData engineeringDevOps

Requirements

  • 4+ years building and supporting production software systems, data platforms, or cloud infrastructure.
  • Strong software engineering fundamentals, including Git workflows, testing, modular architecture, and code review.
  • Strong proficiency in SQL and Python.
  • Experience building and maintaining production ETL/ELT pipelines.
  • Experience working in cloud environments such as Azure, AWS, or GCP.
  • Comfort operating across both application engineering and data engineering domains.
  • Experience supporting or deploying internal operational software systems.
  • Familiarity with AI-assisted development workflows such as Claude Code, Copilot, or Cursor.
  • Understanding of security and governance principles for regulated or sensitive data environments.
  • Strong communication skills for collaborating with non-technical stakeholders.

Responsibilities

  • Establish engineering standards and operational practices for internal applications and AI-enabled tools.
  • Support internal builders with guidance on source control, testing, deployment, and documentation.
  • Implement operational practices including monitoring, alerting, incident response, and environment management.
  • Maintain and expand the Azure Fabric Lakehouse architecture across bronze, silver, and gold layers.
  • Build, monitor, and optimize ingestion pipelines to resolve data quality issues.
  • Collaborate with operational, billing, and clinical leadership to support data access and reporting needs.
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