Full Stack Data Engineer

🕒 September 18

🇺🇸 United States – Remote

💵 $75k - $80k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 7%

What it means: the chance that no one is really hiring for this job.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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BioIntelliSense, Inc

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 $45M Series B on 2021-07

Healthcare • Consulting • Logistics

BioIntelliSense, Inc. is a medical technology company focused on providing continuous patient monitoring solutions via wearable devices. The company's flagship product, the BioButton, is a medical-grade wearable device designed for continuous remote monitoring of vital signs and health status. BioIntelliSense's solutions are intended for use in both hospital and home settings, supporting virtual care programs with clinical-grade accuracy. The company emphasizes data analytics and early detection of adverse health trends, aiming to enhance patient care, workflow efficiency, and cost-effectiveness in healthcare settings. Their technology has been recognized with various awards and partnerships globally to expand its patient monitoring capabilities.

📋 Description

• Develop and implement data pipelines and cloud-native applications • Create scalable REST APIs and web applications supporting clinical workflows and internal tools • Design and maintain automated ETL/ELT pipelines to ingest, clean, and transform clinical data • Implement data validation and quality checks for clinical workflows and reporting • Collaborate with technical leads, product, and cross-functional teams • Participate in the engineering on-call rotation to ensure service availability and uptime • Apply software development best practices through commercial deployment

🎯 Requirements

• Bachelor’s degree in Computer Science or Engineering • Experience developing software applications, including internships or academic projects • Strong written and oral communication skills • Ability to work independently and collaboratively • Strong capacity to interpret and execute abstract instructions • Willingness to learn and contribute to product improvements • Solid knowledge of Python • Solid understanding of SQL fundamentals, including joins and aggregating data from relational databases • Preferred: Familiarity with cloud platforms such as AWS/GCP • Preferred: Familiarity with ETL/ELT pipelines, data transformations, and platforms such as Databricks • Preferred: Familiarity with Terraform and CI/CD pipelines

🏖️ Benefits

• Career growth tailored to individual goals

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