
201 - 500 employees
Founded 2019
🧬 Biotechnology
💊 Pharmaceuticals
🔬 Science
🔥 Funding within the last year
💰 $150M Series D - Enveda Biosciences on 2025-09
Biotechnology • Pharmaceuticals • Science
Enveda is a biotechnology company that leverages a proprietary platform to decode and translate nature’s chemical diversity for accelerated small-molecule drug discovery. By rapidly purifying, identifying, and characterizing molecules from complex natural sources, Enveda aims to put vast, evolutionarily derived chemical space into the hands of drug hunters to discover medicines faster and expand the pipeline of therapeutics.
🔥 12 hours ago
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201 - 500 employees
Founded 2019
🧬 Biotechnology
💊 Pharmaceuticals
🔬 Science
🔥 Funding within the last year
💰 $150M Series D - Enveda Biosciences on 2025-09
Biotechnology • Pharmaceuticals • Science
Enveda is a biotechnology company that leverages a proprietary platform to decode and translate nature’s chemical diversity for accelerated small-molecule drug discovery. By rapidly purifying, identifying, and characterizing molecules from complex natural sources, Enveda aims to put vast, evolutionarily derived chemical space into the hands of drug hunters to discover medicines faster and expand the pipeline of therapeutics.
• Design, build, and maintain scalable infrastructure for data engineering and analytics workloads in Databricks and Azure • Collaborate with data scientists, platform engineers, and DevOps to enable seamless integration between Databricks, data lakes, and other cloud services • Implement and manage CI/CD pipelines, infrastructure as code (Pulumi) and monitoring systems to support data platform operations • Drive improvements in security, observability, and automation for Azure and Databricks clusters, jobs, and user environments • Mentor junior engineers and contribute to infrastructure best practices, documentation, and internal tooling development
• Bachelor’s degree in computer science, information science, software engineering, data engineering, or a related field • Five (5) years of related employment experience • Five (5) years of experience with Python • Administration of cloud services AWS and/or Azure • Infrastructure as code tools (e.g., Terraform, Pulumi, or cloud formation) • Databricks or equivalent distributed computing frameworks • Data engineering pipelines, orchestration tools (e.g. Airflow, Dagster, or Prefect), and workflow management • CI/CD pipelines, GitOps, and Container orchestration (e.g. Docker, Kubernetes) • Monitoring and observability tools (e.g. Grafana, DataDog, Prometheus, Cloudwatch)
• 90% Medical • Dental • Vision • 401k Match • Flexible PTO • Adoption Assistance
Apply Now🔥 12 hours ago
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