Data and Analytics Engineer III

Job not on LinkedIn

🕒 June 1

🇺🇸 United States – Remote

💵 $145k - $165k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 47%

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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Praxis

WebsiteLinkedInAll Job Openings

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, develop, and maintain scalable ETL/ELT pipelines supporting cross-functional data needs • Build, deploy, and optimize analytical dashboards and reporting tools for strategic decision-making • Write structured, testable Python, R, and SQL code supporting analytics workflows • Lead version control, documentation, and coding standards best practices • Partner with data scientists to move analytics products from prototype to production • Identify and integrate AI-driven tools to improve data processing and reporting • Mentor junior team members and contribute to knowledge sharing and continuous improvement

🎯 Requirements

• Bachelor’s degree required in a technical field such as Computer Science, Engineering, Data Science, or related disciplines • 7+ years post-internship hands-on experience in a data engineering, analytics engineering, or data science role in the pharmaceutical industry • Proficient in Python, R, and SQL, with experience operationalizing analytics at scale • Strong experience with Git and collaborative development workflows • Experience designing data architecture and maintaining complex pipelines • Familiarity with Databricks and other cloud platforms, such as Snowflake, AWS, or Azure • Experience applying AI to streamline or augment data workflows • Excellent communication skills and ability to work across technical and non-technical teams • Experience working with patient-level data or in regulated environments such as HIPAA, GxP, or FDA preferred • Must be comfortable with regular computer/screen work, basic hand coordination, clear communication, focus, and occasional movement

🏖️ Benefits

• 99% of the premium paid for medical, dental and vision plans • Company-paid life insurance, AD&D, and 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