Senior Software Engineer, Data Platform

About the role

Profluent is seeking a Senior Software Engineer to design, build, and scale its data platform that powers protein engineering research. You will create secure, high‑performance data pipelines and warehouses that enable rapid machine‑learning and scientific discovery.

Key responsibilities

• Design, implement, and maintain scalable data infrastructure for large scientific datasets, including ingestion, transformation, validation, storage, and retrieval.
• Develop secure pipelines with strict access controls, provenance tracking, auditability, and compliance with data‑use restrictions.
• Own core components of the data warehouse using Python, GCP, PostgreSQL, BigQuery, and related cloud‑native technologies.
• Transform raw experimental and computational data into structured, analysis‑ready, and model‑ready datasets.
• Establish best practices for data modeling, metadata management, quality checks, schema evolution, versioning, and documentation.
• Collaborate with ML engineers, computational biologists, data scientists, and program stakeholders to translate data requirements into robust systems.
• Improve engineering quality through thoughtful design, code reviews, testing, CI/CD, observability, and maintainable workflows.

Required profile

• 5+ years of experience in software engineering, data engineering, or building data platforms.
• Strong proficiency in Python and modern development practices (git, testing, code review, CI/CD, production deployment).
• Proven experience designing and operating production data pipelines, warehouses, and data models at scale.
• Hands‑on experience with cloud platforms, preferably Google Cloud Platform.

Required skills

• Python
• Google Cloud Platform (GCP)
• PostgreSQL
• BigQuery
• Git
• CI/CD
• Automated testing