Senior Data Platform Engineer, Commercial

Job not on LinkedIn

🔥 9 minutes ago

🇺🇸 United States – Remote

💵 $140k - $160k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Logo of Praxis

Praxis

11 - 50 employees

Founded 2002

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Praxis is a company dedicated to connecting patients with meaningful clinical trial opportunities. With a focus on creating customized recruitment programs, Praxis utilizes a variety of specialized tools and extensive experience across various therapeutic areas to ensure they reach the right patients worldwide. Established in 2002, the company emphasizes the importance of patient engagement and utilizes sophisticated data insights to enhance the patient journey in clinical research.

📋 Description

• Design and maintain scalable ETL/ELT pipelines and transformations across Snowflake Bronze, Silver, and Gold layers • Integrate data from CRM, field activity, marketing, and external sources • Manage changes with application owners and data providers • Translate commercial requirements and definitions into consistent, reusable data models • Build automated checks for data completeness, freshness, accuracy, and schema changes • Resolve data issues before they reach users • Monitor workloads and troubleshoot failures • Support reprocessing and backfills and implement lasting fixes to recurring issues • Build reliable data products for analytics, reporting, Streamlit, and AI-enabled use cases • Maintain appropriate access and privacy controls • Apply engineering practices, automation, documentation, and knowledge sharing • Partner with the Senior Snowflake Platform Engineer on production delivery and support • Cross-train to provide reliable coverage for critical workloads

🎯 Requirements

• 7+ years of relevant experience in data engineering, analytics engineering, or related disciplines—or equivalent demonstrated depth • Hands-on experience delivering and supporting production Snowflake workloads • Strong SQL and Python skills • Experience building maintainable pipelines, transformations, data-quality checks, and operational automation • Strong foundation in analytical or dimensional data modeling • Experience with reusable semantic models and consistent implementation of business definitions • Hands-on experience integrating APIs, files, or shared datasets • Experience managing schema changes, incremental processing, reconciliation, reprocessing, and recovery • Experience with modern transformation practices and tooling such as dbt or equivalent approaches • Automated data-quality and regression testing experience • Strong Git and collaborative development practices, including peer review, controlled environment promotion, production monitoring, and incident resolution • Ability to work directly with non-technical stakeholders and clarify ambiguous requirements • Bachelor’s degree in a relevant technical field or equivalent practical experience • Comfort with screen work, basic hand coordination, focus, clear communication, and occasional movement; reasonable accommodations may be made

🏖️ Benefits

• 99% of the premium paid for medical, dental and vision plans • Company-paid life insurance • AD&D benefits • Disability benefits • Voluntary plans to personalize coverage • Dollar-for-dollar 401(k) match up to 6% on eligible contributions • Long-term stock incentives • ESPP • Discretionary quarterly bonus • Extremely flexible wellness benefit • Generous PTO • Paid holidays • Company-wide shutdowns

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