protege - Solutions Engineer, Healthcare
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Requirements
• Strong hands-on experience with data pipelines, both orchestrated and manual, in real production environments. • Fluency with command-line tooling in Linux or MacOS and strong scripting ability in Python, SQL, and Bash/shell. • Experience working with cloud storage systems and large-scale cross-cloud data movement. • High bar for data integrity, validation, reproducibility, and auditability - especially for regulated data. • Calm, methodical debugging instincts and strong operational judgment about when to rerun, recover, or escalate. • Ability to manage multiple delivery workflows simultaneously while collaborating well with a distributed team. • Bonus if you have experience with AWS S3, GCS, Azure Blob, Snowflake, IAM debugging, Dagster/Airflow, healthcare data, or AI training data. • Working with Protege • We move fast - thoughtfully. Speed matters in what we're building, and so does intention. We're biased toward action and always learning. • We're a lean, high-trust team. Everyone has real ownership. Clarity and autonomy drive our best work. • We take our work seriously, not ourselves. We solve hard problems with humility and celebrate wins - big and small. • We're kind, direct, and inclusive. We give feedback early and often, with the goal of helping one another grow. • We're builders at heart. Every person at Protege is hands-on, resourceful, and focused on creating momentum. • We grow fast - together. You'll be surrounded by people who care about impact, who challenge you to think bigger, and who are genuinely excited about what comes next.
Responsibilities
• Own cross-cloud data movement and delivery • Execute and monitor large-scale data transfers across AWS S3, Google Cloud Storage, Azure Blob, Snowflake, and customer environments. • Use CLI tools such as rclone, s5cmd, and cloud-native utilities to move data safely and efficiently. • Manage credentials, permissions, manifests, and delivery packaging artifacts required for ingestion, subset delivery, and handoff workflows. • Build structured data assembly and lightweight transformation workflows • Use Python and SQL to join datasets, add derived columns, clean data, and validate CSV, Parquet, and database tables. • Support customer-specific assembly work that turns raw inputs into delivery-ready datasets. • Apply a high bar for data integrity, structure, and reproducibility before handoff. • Operate internal pipelines with production discipline • Leverage Protege's Dagster-based platform to orchestrate data processing and delivery. • Maintain clean separation between pre-production and production workflows and validate configs before runs. • Build lightweight scripts and command-line workflows for filtering, manifest generation, validation, and recovery. • Create leverage for the team and platform • Document steps, outputs, and recovery paths for auditability and repeatability. • Identify recurring delivery patterns, failure modes, and manual toil. • Partner with Engineering to turn one-off operational work into repeatable platform capabilities and test new tooling before go-live. • What Success Looks Like • 30 days: Learn the environments and delivery motion • Build working knowledge of partner and customer delivery patterns, environments, permissions models, and core tooling. Shadow live deliveries and get operational on standard validation and rerun workflows. • 60 days: Own scoped production work • Run scoped cross-cloud deliveries and light transformations with limited support. Improve runbooks, validation steps, and status communication so work is safer and easier to repeat. • 90 days: Create leverage and reliability • Independently own complex delivery workflows across multiple systems while reducing rework and surfacing platform improvements that eliminate operational risk and manual toil.
Benefits
• Pre-seed/seed-stage startup • Series A or B startup • Series C or D startup • Series E+ startup • Protege would be my first startup • or drag and drop here • In 2-3 sentences, please explain how your experience aligns well with the role
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