Senior Data Engineer

Job not on LinkedIn

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $200k - $400k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Clipboard Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🏥 Healthcare

⚕️ Healthcare Insurance

🏪 Marketplace

💰 $30M Series C on 2022-02

Healthcare • Healthcare Insurance • Marketplace

Clipboard Health is a healthcare platform that connects healthcare professionals with open shifts at top facilities. The company creates a marketplace that allows independent healthcare professionals and healthcare facilities to find each other, facilitating the provision of care to patients in need. Clipboard Health offers flexible scheduling, immediate payment after shifts, and is Joint Commission Certified, aiming to alleviate staffing shortages and improve the availability of care.

📋 Description

• Build reliable, well-governed data and knowledge infrastructure for human analysts and AI agents • Create governed, versioned artifacts such as dbt semantic models, Snowflake views, and structured knowledge files • Develop agentic workflows, peer-reviewed artifact creation processes, and structured knowledge trees • Maintain pipelines that extract, load, and transform source data into the warehouse • Own data availability and freshness foundations • Manage Snowflake roles, PII/PHI provisioning, and least-privilege access controls with the Security team • Support engineering teams building, deploying, and monitoring production ML models • Investigate source systems, metric discrepancies, and slow pipelines • Partner with stakeholders to understand data-enabled decisions and prioritize root-cause solutions • Participate in SQL and architecture-design technical interviews

🎯 Requirements

• Senior-level data engineering experience (specific minimum years not stated) • First-principles problem solving • Customer-centric approach • Ownership of infrastructure and sound judgement • Technical breadth across pipelines, semantic modeling, governance, and AI-facing knowledge infrastructure • SQL proficiency • Architecture design experience • Experience with Snowflake, dbt, Airbyte, Hevo, Hex, Metabase, MongoDB, and Postgres is relevant to the data stack • Ability to work Pacific Time Zone hours • Visa sponsorship requirements must be disclosed • Location in the U.S., specifically Remote US (PST./MST.)

🏖️ Benefits

• Equity offered • Remote-first work environment • Profitable company since 2022